SAFe Agilist Certification Course Overview

The SAFe Agilist certification training in Pasadena teaches you the principles of Lean-Agile and practices of SAFe®. This two-day SAFe® or Scaled Agile Framework certification helps you grasp the Lean-Agile mindset, build an Agile portfolio, execute with Agile Release Trains, and lead Lean-Agile transformation in your organization.

Accredited by

Scaled Agile Bronze

SAFe Agilist Course Curriculum

Eligibility

This SAFe Agilist certification training in Pasadena is suitable for quality analysts, directors, program and project managers, executives, senior managers, VPs, product managers, enterprise architects, portfolio managers, process, and solution architects. Anyone who wants to help their organization adopt a Lean-Agile framework should take this SAFe Agilist certification course in Pasadena.
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Pre-requisites

While there are no prerequisites for taking the SAFe Agilist certification training in Pasadena, it’s preferable if you have at least five years of experience in either software development, testing, business analysis, or project management. We also recommend that people taking this SAFe Agilist certification training in Pasadena have a basic understanding of Agile Scrum.
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Course Content

  • SAFe® Agilist Certification Training

    Preview

    • Introducing the Scaled Agile Framework (SAFe)

      • Introducing the Scaled Agile Framework (SAFe)

    • Becoming a Lean-Agile Leader

      • Becoming a Lean-Agile Leader

    • Establishing Team and Technical Agility

      • Establishing Team and Technical Agility

    • Experiencing Program Increment (PI) Planning

      • Experiencing Program Increment (PI) Planning

    • Releasing on Demand with DevOps

      • Releasing on Demand with DevOps

    • Building Business Solutions and Lean Systems

      • Building Business Solutions and Lean Systems

    • Implementing Lean Portfolio Management

      • Implementing Lean Portfolio Management

    • Leading the transformation

      • Leading the transformation
  • Free Course

  • Agile Scrum Foundation

    Preview

    • Lesson 00 - Course Introduction

      05:00Preview
      • 0.1 Course Introduction
        05:00

    • Lesson 01 - Agile Scrum Concepts

      11:30Preview
      • 1.1 Agile Scrum Concepts
        11:30
      • 1.2 Quiz

    • Lesson 02 - Roles and Rituals

      10:41Preview
      • 2.1 Roles and Rituals
        10:41
      • 2.2 Quiz

    • Lesson 03 - Scrum Practices

      12:36
      • 3.1 Scrum Practices
        12:36
      • 3.2 Scenario — 1 Stand-up Meeting
      • 3.3 Quiz

    • Lesson 04 - Scrum Planning

      11:45
      • 4.1 Scrum Planning
        11:45
      • 4.2 Quiz

    • Lesson 05 - Scrum Estimations

      11:28Preview
      • 5.1 Scrum Estimations
        11:28
      • 5.2 Scenario — 2 Planning Poker
      • 5.3 Quiz

    • Lesson 06 - Scrum Monitoring

      06:56
      • 6.1 Scrum Monitoring
        06:56
      • 6.2 Quiz

    • Lesson 07 - Advanced Scrum Concepts

      12:47
      • 7.1 Advanced Scrum Concepts
        12:47
      • 7.2 Quiz

    • Lesson 08 - Scrum Overview

      03:14
      • 8.1 Scrum Overview
        03:14
  • Free Course

  • CAPM® Certification Course

    Preview

    • Lesson 01 - Introduction

      13:59Preview
      • 1.01 Introduction to CAPM
        13:11
      • 1.02 Key Takeaways
        00:48

    • Lesson 02 - Introduction to Project Management

      50:54Preview
      • 2.01 Introduction to Project Management
        09:51
      • 2.02 Project Management Process Groups
        06:29
      • 2.03 Project Management Processes
        10:44
      • 2.04 Process Groups ITTO
        17:36
      • 2.05 Portfolios Programs Stakeholders
        06:14
      • Quiz

    • Lesson 03 - Project Environment

      17:22Preview
      • 3.01 Project Environment
        17:22
      • Quiz

    • Lesson 04 - Role of the Project Manager

      25:35
      • 4.01 Role of the Project Manager
        06:38
      • 4.02 Code of Ethics
        18:57

    • Lesson 05 - Project Integration Management

      56:07Preview
      • 5.01 Project Integration Management
        13:45
      • 5.02 Project Integration Management Knowledge Areas
        14:30
      • 5.03 Direct and Manage Project Work
        16:28
      • 5.04 Perform Integrated Change Control
        11:24
      • 5.05 Scenario 1 Project Integration Management
      • 5.06 Scenario 2 Project Integration Management
      • Quiz

    • Lesson 06 - Project Scope Management

      39:09Preview
      • 6.01 Project Scope Management
        10:58
      • 6.02 Project Scope Management in Planning Process Group
        18:06
      • 6.03 Project Scope Management in Monitoring and Controlling Process Group
        10:05
      • 6.04 Scenario 3 Project Scope Management
      • 6.05 Scenario 4 Project Scope Management
      • Quiz

    • Lesson 07 - Project Schedule Management

      46:21
      • 7.01 Project Schedule Management
        12:27
      • 7.02 Project Schedule Management Processes
        15:33
      • 7.03 Schedule Network Analysis Techniques
        18:21
      • 7.04 Scenario 5 Project Schedule Management
      • Quiz

    • Lesson 08 - Project Cost Management

      34:50Preview
      • 8.01 Project Cost Management
        16:51
      • 8.02 Earned Value Management
        17:59
      • 8.03 Scenario 6 Project Cost Management
      • 8.04 Scenario 7 Project Cost Management
      • Quiz

    • Lesson 09 - Project Quality Management

      32:58Preview
      • 9.01 Project Quality Management
        09:45
      • 9.02 Project Quality Management Processes
        12:59
      • 9.03 Quality Tools
        10:14
      • 9.04 Scenario 8 Project Quality Management
      • 9.05 Scenario 9 Project Quality Management
      • Quiz

    • Lesson 10 - Project Resource Management

      46:02
      • 10.01 Project Resource Management
        30:56
      • 10.02 Team Dynamics
        08:59
      • 10.03 Organizational Theories and Leadership Styles
        06:07
      • 10.04 Scenario 10 Project Resource Management
      • 10.05 Scenario 11 Project Resource Management
      • Quiz

    • Lesson 11 - Project Communications Management

      20:48
      • 11.01 Project Communications Management
        08:19
      • 11.02 Project Communications Management Processes
        12:29
      • 11.03 Scenario 12 Project Communications Management
      • 11.04 Scenario 13 Project Communications Management
      • Quiz

    • Lesson 12 - Project Risk Management

      40:11Preview
      • 12.01 Project Risk Management
        16:16
      • 12.02 Project Risk Management Processes
        23:55
      • 12.03 Scenario 14 Project Risk Management
      • 12.04 Scenario 15 Project Risk Management
      • Quiz

    • Lesson 13 - Project Procurement Management

      30:42
      • 13.01 Project Procurement Management
        18:21
      • 13.02 Project Procurement Management Processes
        12:21
      • 13.03 Scenario 16 Project Procurement Management
      • Quiz

    • Lesson 14 - Project Stakeholder Management

      21:59Preview
      • 14.01 Project Stakeholder Management
        10:37
      • 14.02 Project Stakeholder Management Processes
        11:22
      • 14.03 Scenario 17 Project Stakeholder Management
      • 14.04 Scenario 18 Project Stakeholder Management
      • Quiz
  • Free Course

  • Agile Certified Practitioner (PMI-ACP)®

    Preview

    • Lesson 1: Course Introduction

      16:42Preview
      • 0.1 Course Introduction
        03:36
      • 0.2 Eligibility Requirements
        05:36
      • 0.3 Certification Fees and Renewal
        05:30
      • 0.4 About Our Course
        02:00

    • Lesson 2: Agile Principles and Mindset - Part 1

      25:18Preview
      • 1.01 Agile Principles and Mindset - Part One
        00:41
      • 1.02 Introduction to Agile
        03:06
      • 1.03 Agile Engineering Practices
        02:35
      • 1.04 The Agile Manifesto
        01:36
      • 1.05 Agile Manifesto Explained
        02:25
      • 1.06 Principles of Agile Manifesto
        02:17
      • 1.07 Applying the Principles of Agile Manifesto
        01:43
      • 1.08 Agile Core Principles and Practices
        03:41
      • 1.09 Benefits of Agile
        02:56
      • 1.10 Project Life Cycle Characteristics
        03:46
      • 1.11 Key Takeaways
        00:32
      • Knowledge Check

    • Lesson 3: Agile Principles and Mindset - Part 2

      52:31Preview
      • 2.01 Agile Principles and Mindset - Part Two
        00:48
      • 2.02 Agile Methodologies
        01:36
      • 2.03 Agile Mindset
        02:45
      • 2.04 Where to Apply Agile
        01:06
      • 2.05 Meaning of Scrum
        01:06
      • 2.06 Features of Scrum
        02:15
      • 2.07 Three Pillars of Scrum
        02:25
      • 2.08 Scrum Roles
        00:55
      • 2.09 Key Terms of Scrum
        02:40
      • 2.10 Scrum Meetings
        02:31
      • 2.11 Scrum: An Empirical Process
        02:05
      • 2.12 Extreme Programming
        02:45
      • 2.13 Extreme Programming Practices - Part A
        01:36
      • 2.14 Extreme Programming Practices - Part B
        01:28
      • 2.15 Roles in Extreme Programming
        02:03
      • 2.16 Process Diagram of XP
        02:01
      • 2.17 Crystal Method
        00:30
      • 2.18 Properties of Crystal Method
        03:04
      • 2.19 Key Categories of Crystal Method - Part A
        03:40
      • 2.20 Key Categories of Crystal Method - Part B
        00:47
      • 2.21 Dynamic Systems Development Method (DSDM)
        00:29
      • 2.22 Basic Principles of Atern
        02:41
      • 2.23 Planning Philosophy in DSDM
        00:57
      • 2.24 DSDM Techniques
        02:21
      • 2.25 DSDM Phases
        01:43
      • 2.26 Feature-Driven Development
        01:05
      • 2.27 Agile Project Management
        03:22
      • 2.28 Key Takeaways
        01:47
      • Knowledge Check

    • Lesson 4: Value-Driven Delivery - Part 1

      30:52Preview
      • 3.01 Value-Driven Delivery - Part One
        00:56
      • 3.02 Quantifying Customer Value
        01:53
      • 3.03 Time Value of Money
        02:03
      • 3.04 Time Value of Money: Example
        01:29
      • 3.05 The Financial Feasibility of Projects
        00:55
      • 3.06 Return on Investment ROI
        00:36
      • 3.07 Net Present Value (NPV)
        02:19
      • 3.08 Net Present Value (NPV): Example
        02:41
      • 3.09 Internal Rate of Return (IRR)
        01:21
      • 3.10 Payback Period
        00:41
      • 3.11 Payback Period: Example
        03:07
      • 3.12 Prioritization of Functional Requirements
        03:19
      • 3.13 MoSCoW
        01:40
      • 3.14 Kano Model
        01:29
      • 3.15 Relative Weighting
        02:25
      • 3.16 Prioritization of Non-Functional Requirements
        01:35
      • 3.17 Risk Management in Agile
        01:28
      • 3.18 Key Takeaways
        00:55
      • Knowledge Check

    • Lesson 5: Value-Driven Delivery - Part 2

      23:27Preview
      • 4.01 Value-Driven Delivery - Part Two
        00:48
      • 4.02 Minimal Viable Product
        00:43
      • 4.03 Project Planning Using MVP
        03:11
      • 4.04 Agile Compliance
        00:35
      • 4.05 Key Drivers of Agile Compliance
        00:33
      • 4.06 Incremental Delivery
        00:58
      • 4.07 Review and Feedback
        02:02
      • 4.08 Earned Value Management
        02:31
      • 4.09 Earned Value Metrics
        03:02
      • 4.10 Earned Value Metrics: Example
        02:17
      • 4.11 Agile Contracts: Components
        00:55
      • 4.12 Agile Contracting Methods
        00:30
      • 4.13 Fixed-Price or Fixed-Scope Contract
        00:26
      • 4.14 Time and Materials (T and M) Contract
        00:29
      • 4.15 T and M with Fixed Scope and Cost Ceiling
        00:31
      • 4.16 T and M with Variable Scope and Cost Ceiling
        00:27
      • 4.17 Bonus or Penalty Clauses
        00:51
      • 4.18 Rolling Agile Contracts
        00:35
      • 4.19 Terms Used in Agile Contracts
        00:53
      • 4.20 Key Takeaways
        01:10
      • Knowledge Check

    • Lesson 6: Stakeholder Engagement - Part 1

      20:45Preview
      • 5.01 Stakeholder Engagement - Part One
        00:43
      • 5.02 Stakeholder Management
        02:04
      • 5.03 Project Charter
        01:22
      • 5.04 Understanding Stakeholder Needs
        00:39
      • 5.05 Agile Wireframes
        01:27
      • 5.06 User Story
        03:11
      • 5.07 Story Card Information
        02:30
      • 5.08 Agile Personas
        03:04
      • 5.09 Theme and Epic
        02:21
      • 5.10 Agile Story Maps
        01:27
      • 5.11 Community and Stakeholder Values
        01:16
      • 5.12 Key Takeaways
        00:41
      • Knowledge Check

    • Lesson 7: Stakeholder Engagement - Part 2

      25:18Preview
      • 6.01 Stakeholder Engagement - Part Two
        00:51
      • 6.02 Community Management
        01:14
      • 6.03 Communication and Knowledge Sharing
        00:56
      • 6.04 Social Media Communication
        01:17
      • 6.05 Information Radiators
        00:38
      • 6.06 Burnup and Burndown Charts
        03:02
      • 6.07 Kanban or Task Board
        00:49
      • 6.08 Impediment Logs
        00:46
      • 6.09 Characteristics of Information Radiators
        01:06
      • 6.10 Agile Modeling
        01:47
      • 6.11 Active Listening
        00:30
      • 6.12 Key Elements of Active Listening
        00:59
      • 6.13 Globalization Diversity and Cultural Sensitivity
        01:24
      • 6.14 Cultural Diversity Issues: Recommendations
        01:20
      • 6.15 Agile Facilitation Methods
        02:24
      • 6.16 Agile Negotiation and Conflict Management
        02:28
      • 6.17 Five Levels of Conflict
        02:48
      • 6.18 Key Takeaways
        00:59
      • Knowledge Check

    • Lesson 8: Team Performance - Part 1

      13:07Preview
      • 7.01 Team Performance - Part One
        00:41
      • 7.02 Features and Composition of Agile Teams
        02:59
      • 7.03 Stages of Agile Team Formation
        01:19
      • 7.04 High Performance Teams
        01:27
      • 7.05 Generalizing Specialist
        01:05
      • 7.06 Team Responsibility
        01:53
      • 7.07 Self-Organization
        02:52
      • 7.08 Key Takeaways
        00:51
      • Knowledge Check

    • Lesson 9: Team Performance - Part 2

      36:11Preview
      • 8.01 Team Performance - Part Two
        00:48
      • 8.02 Agile Leadership
        01:00
      • 8.03 Best Practices of Agile Leadership
        00:58
      • 8.04 Management vs Leadership
        00:58
      • 8.05 Servant Leadership
        01:16
      • 8.06 Coaching and Mentoring
        00:35
      • 8.07 Agile Coaching
        02:16
      • 8.08 Agile Emotional Intelligence
        01:46
      • 8.09 Team Motivation
        00:37
      • 8.10 Maslow’s Theory
        04:31
      • 8.11 Frederick Herzberg's Theory
        00:56
      • 8.12 McClelland's Theory
        01:20
      • 8.13 Boehm's Theory
        00:45
      • 8.14 Team Space
        01:47
      • 8.15 Co-Located Teams
        00:36
      • 8.16 Distributed Teams
        01:03
      • 8.17 Co-Located vs. Distributed Teams
        01:47
      • 8.18 Osmotic Communication
        00:29
      • 8.19 Team Collaboration and Coordination
        01:23
      • 8.20 Collaboration Technology
        00:44
      • 8.21 Communication Gap-Example One
        02:35
      • 8.22 Communication Gap-Example Two
        01:21
      • 8.23 Brainstorming Sessions
        01:18
      • 8.24 Team Velocity
        01:36
      • 8.25 Velocity-Example One
        00:36
      • 8.26 Velocity-Example Two
        00:53
      • 8.27 Sample Velocity Chart
        00:34
      • 8.28 Agile Tools
        00:39
      • 8.29 Key Takeaways
        01:04
      • Knowledge Check

    • Lesson 10: Adaptive Planning - Part 1

      32:03Preview
      • 9.01 Adaptive Planning - Part One
        00:53
      • 9.02 Planning Philosophy
        02:11
      • 9.03 Aligning Agile Projects
        01:37
      • 9.04 Rolling Wave Planning
        01:33
      • 9.05 Timeboxing
        00:56
      • 9.06 Best Practices of Timeboxing
        01:01
      • 9.07 Advantages of Timeboxing
        01:25
      • 9.08 Agile Estimation
        01:49
      • 9.09 Story Points
        02:41
      • 9.10 Assigning Story Points
        02:19
      • 9.11 Story Points Estimation
        02:24
      • 9.12 Story Points Estimation Scale: Example
        01:01
      • 9.13 Value Points
        00:47
      • 9.14 Ideal Days
        01:25
      • 9.15 Story Points vs. Ideal Days
        01:30
      • 9.16 Wideband Delphi Technique
        01:58
      • 9.17 Planning Poker
        01:05
      • 9.18 Planning Poker: Example
        01:37
      • 9.19 Affinity Estimation
        02:31
      • 9.20 Key Takeaways
        01:20
      • Knowledge Check

    • Lesson 11: Adaptive Planning - Part 2

      32:12Preview
      • 10.1 Adaptive Planning - Part Two
        00:49
      • 10.2 Project Size Estimation
        02:20
      • 10.3 Release Plan
        01:57
      • 10.4 Release Plan: Example
        02:51
      • 10.5 Iteration Plan
        02:43
      • 10.6 Types of Iteration Planning
        02:23
      • 10.7 Iteration Lifecycle: Example
        01:49
      • 10.8 Release Plan vs. Iteration Plan
        01:02
      • 10.9 Agile Product Roadmap
        02:07
      • 10.10 Backlog Refinement - Part Two
        01:52
      • 10.11 Value-Based Analysis and Decomposition
        01:28
      • 10.12 Agile Cone of Uncertainty
        02:39
      • 10.13 Velocity Variations
        01:17
      • 10.14 Sprint Reviews
        01:40
      • 10.15 Sprint Retrospectives
        01:19
      • 10.16 Mid-Course Corrections
        02:56
      • 10.17 Key Takeaways
        01:00
      • Knowledge Check

    • Lesson 12: Problem Detection and Resolution - Part 1

      24:27Preview
      • 11.1 Problem Detection and Resolution - Part One
        00:52
      • 11.2 Agile Problem Detection
        01:17
      • 11.3 Problem Detection Techniques
        00:24
      • 11.4 Fishbone Diagram
        01:41
      • 11.5 Five Whys Technique
        01:50
      • 11.6 Control Charts
        01:16
      • 11.7 Lead Time and Cycle Time
        01:22
      • 11.8 Kanban
        01:39
      • 11.9 Kanban Process
        00:44
      • 11.10 Example of Kanban Board
        01:49
      • 11.11 Work In Progress
        02:12
      • 11.12 Managing Constraints
        01:51
      • 11.13 Little’s Law
        01:24
      • 11.14 Escaped Defects
        02:23
      • 11.15 Agile Problem Solving
        02:47
      • 11.16 Key Takeaways
        00:56
      • Knowledge Check

    • Lesson 13: Problem Detection and Resolution - Part 2

      22:27Preview
      • 12.1 Adaptive Planning
        00:57
      • 12.2 Metrics and Measures
        00:52
      • 12.3 Benefits of Metrics
        01:37
      • 12.4 Examples of Metrics
        01:04
      • 12.5 Baseline Metrics
        00:54
      • 12.6 Variance and Trend Analysis
        02:44
      • 12.7 Risk Management Life Cycle
        01:23
      • 12.8 Step One-Risk Identification
        01:07
      • 12.9 Step Two-Risk Assessment
        01:18
      • 12.10 Step Three-Risk Response Strategies
        01:09
      • 12.11 Step Four-Risk Review
        00:19
      • 12.12 Risk Log
        00:50
      • 12.13 Risk Burndown Chart
        00:53
      • 12.14 Risk Profile Graph
        01:15
      • 12.15 Spike
        01:02
      • 12.16 Agile Failure Modes
        01:28
      • 12.17 Agile Coach Failure Modes
        01:48
      • 12.18 Troubleshooting Guidelines
        00:35
      • 12.19 Key Takeaways
        01:12
      • Knowledge Check

    • Lesson 14: Continuous Improvement - Part 1

      27:36Preview
      • 13.1 Continuous Improvement - Part One
        00:48
      • 13.2 Kaizen
        01:46
      • 13.3 Kaizen in Agile
        00:40
      • 13.4 Lean
        02:13
      • 13.5.Defining Waste Manufacturing and Software Development
        02:20
      • 13.6 A Five Step Process to Becoming Lean
        00:46
      • 13.7 Value Stream Mapping
        04:16
      • 13.8 Agile Retrospectives
        01:20
      • 13.9 Cargo Smells
        02:24
      • 13.10 Conducting a Retrospective
        03:00
      • 13.11 Brainstorming Techniques
        01:45
      • 13.12 Process Analysis Techniques
        01:13
      • 13.13 Agile Process Tailoring
        02:27
      • 13.14 Project Factors That Influence Tailoring
        01:54
      • 13.15 Key Takeaways
        00:44
      • Knowledge Check

    • Lesson 15: Continuous Improvement - Part 2

      22:12Preview
      • 14.1 Continuous Improvement - Part Two
        00:43
      • 14.2 Quality in Agile
        01:14
      • 14.3 Best Practices for Quality in Agile
        00:40
      • 14.4 Best Practice One-Verification and Validation
        00:58
      • 14.5 Best Practice Two-Exploratory Testing
        00:50
      • 14.6 Best Practice Three-Usability Testing
        00:59
      • 14.7 Best Practice Four-Test-Driven Development
        01:57
      • 14.8 Test-Driven Development Advantages
        02:34
      • 14.9 Acceptance Test-Driven Development Cycle (ATDD)
        01:29
      • 14.10 Best Practice Five: Continuous Integration
        02:19
      • 14.11 Best Practice Six: Definition of Done
        00:39
      • 14.12 Testing Pyramid and Quadrant
        01:45
      • 14.13 Checklist for Story Completion
        01:36
      • 14.14 Agile Flowchart
        01:22
      • 14.15 Agile Spaghetti Diagram
        01:35
      • 14.16 Organizational Self Assessment
        00:36
      • 14.17 Key Takeaways
        00:56
      • Knowledge Check
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  • Section 01 - Course Introduction

    Preview

    • Lesson 01 - Course Intro

      02:05Preview
      • Course Intro
        02:05
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  • Section 02 - Overview of RMP Certification Course

    Preview

    • Lesson 01 - Learning Objective

      00:51Preview
      • Learning Objective
        00:51

    • Lesson 02 - About PMI and PMBOK

      03:06Preview
      • 1 About PMI and PMBOK
        03:06

    • Lesson 03 - Who should apply and why PMI-RMP

      01:58Preview
      • 1 Who should apply and why PMI-RMP
        01:58

    • Lesson 04 - PMI-RMP Eligibility Requirement and Timeline

      04:37
      • 1.PMI-RMP Eligibility Requirement and Timeline
        04:37

    • Lesson 05 - How to Apply, Certification Fees and Exam Info

      03:34
      • 1.How to Apply, Certification Fees and Exam Info 2
        03:34

    • Lesson 06 - Key Takeaway

      00:46Preview
      • Key Takeaway
        00:46
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  • Section 03 - Plan Risk Management

    Preview

    • Lesson 01 - Learning Objective

      00:44Preview
      • Learning Objective
        00:44

    • Lesson 02 - Introduction to Risk

      24:48Preview
      • 1.Risk and Risk Factors
        03:10
      • 2.Types of Risks and Examples
        04:44
      • 3.Types of Business and Insurable Risk
        03:53
      • 4.Risk Appetite and Tolerance
        03:15
      • 5.Risk Profiling and Attitude
        04:26
      • 6.Risk Budgeting and Triggers
        05:20

    • Lesson 03 - Project Risk Management

      22:44Preview
      • 1.Project Risk Management and Critical Success Factor
        06:19
      • 2.The Plan Risk Management Process
        02:11
      • 3.The Plan Risk Management - Input, and Tools and Techniques
        05:21
      • 4.The Plan Risk Management - Output
        01:58
      • 5.Risk Management Plan Components
        06:55

    • Lesson 04 - Data Analysis

      13:37Preview
      • 1.Data Analysis - Stakeholder Analysis
        02:18
      • 2.Risk Breakup Structure, Effect and Source based Risk Calculation
        04:09
      • 3.Probability Risk and Impact Scale
        03:10
      • 4.Level of Uncertainty
        04:00

    • Lesson 05 - Risk Analysis

      08:05
      • 1.Risk Analysis
        08:05

    • Lesson 06 - Risk Management Roles and Responsibilities

      05:37Preview
      • 1.Risk Management Roles and Responsibilities
        05:37

    • Lesson 07 - Key Takeaway

      00:58Preview
      • Key Takeaway
        00:58

    • Lesson 08 - Case Study

      00:57
      • Case Study 1
        00:57
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  • Section 04 - Identify Risk

    Preview

    • Lesson 01 - Learning Objective

      00:28Preview
      • Learning Objective
        00:28

    • Lesson 02 - Identifying Risks

      09:29Preview
      • 1.The Identifying Risks Process
        01:00
      • 4.Risk Identification - Tools and Techniques - Historical Review, and Current Assessment
        02:37
      • 5.Risk Identification - Tools and Techniques - Creative Techniques
        05:52

    • Lesson 03 - Critical Success Factor

      10:19
      • 1.Early, Iterative and Emergent Identification
        05:02
      • 2 Critical Success Factor-Others
        05:17

    • Lesson 04 - Risk Identification Tools

      11:28
      • 1.Assumption and Constraint Analysis, SWOT Analysis and Checklist Analysis
        04:37
      • 2.Prompt Lists, Interview, Brainstroming and The Delphi Techniques
        06:51

    • Lesson 05 - Gathering Techniques to Identify Risks

      07:23
      • 1.Gathering Techniques to Identify Risks
        07:23

    • Lesson 06 - Key Takeaway

      00:48
      • Key Takeaway
        00:48

    • Lesson 07 - Case Study 2

      01:04
      • Case Study 2
        01:04
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  • Section 05 - Perform Qualitative Risk Analysis

    Preview

    • Lesson 01 - Learning Objective

      00:37Preview
      • Learning Objective
        00:37

    • Lesson 02 - Qualitative Risk Analysis Process

      13:51Preview
      • 1.Perform Qualitative Risk Analysis Process
        04:11
      • 2.Perform Qualitative Risk Analysis Process - Tools and Techniques, and Output
        04:43
      • 3.Critical Success Factor
        04:57

    • Lesson 03 - Risk Assessment

      17:13Preview
      • 1.Building Risk Analysis Credibility, and Probalility and Impact Assessment
        05:17
      • 2.Risk Data Quality Assessment
        05:10
      • 3.Updated Risk Register
        03:42
      • 4.Perform Qualitative Risk Analysis
        03:04

    • Lesson 04 - Key Takeaway

      00:47
      • Key Takeaway
        00:47

    • Lesson 05 - Case Study 3

      02:14
      • Case Study 3
        02:14
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  • Section 06 - Perform Qualitative Risk Analysis Part Two

    Preview

    • Lesson 01 - Learning Objective

      00:13Preview
      • Learning Objective
        00:13

    • Lesson 02 - Perform Quantitative Risk Analysis - Introduction

      15:20Preview
      • 1.Perform Quantitative Risk Analysis - Inputs
        06:07
      • 2.Perform Quantitative Risk Analysis - Tools and Techniques, and Output
        01:48
      • 3.Quantitative Risk Analysis Update Components and Data Gathering and Representation Techniques
        03:18
      • 4.Critical Success Factor and Project Risk Ranking
        04:07

    • Lesson 03 - Probability distribution

      02:28
      • 1.Probability Distribution
        02:28

    • Lesson 04 - Quantitative Risk Analysis

      25:18Preview
      • 1.Quantitative Risk Analysis
        01:52
      • 2.Sensitivity Analysis
        03:42
      • 3.EMV and Decision Tree Analysis
        04:06
      • 4.Simulation and Monte-Carlo Analysis
        06:23
      • 5.Litin Hypercube Stratified Sampling and Perform Quantitative Risk Analysis
        05:33
      • 6.Qualitative Vs Quantitative Risk Analysis and Structure of Quantitative Risk Analysis
        03:42

    • Lesson 05 - Key Takeaway

      02:41
      • Case Study 4
        02:11
      • Key Takeaways
        00:30
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  • Section 07 - Plan Risk Responses

    Preview

    • Lesson 01 - Learning Objective

      00:22Preview
      • Learning Objective
        00:22

    • Lesson 02 - The Plan Risk Responses Process

      13:22Preview
      • 1.The Plan Risk Responses Process
        04:52
      • 2.The Plan Risk Responses- Input, Tools and Techniques, and Output
        05:21
      • 3.Critical Success Factor
        03:09

    • Lesson 03 - Negative Risk Strategies

      12:34Preview
      • 1.Escalate and Avoid
        05:41
      • 2.Transfer and Mitigate
        04:49
      • 3.Accept
        02:04

    • Lesson 04 - Positive Risk Strategies

      05:09
      • 1.Positive Risk Strategies
        05:09

    • Lesson 05 - Contigency Plans

      13:32
      • 1.Contigency Plans
        06:10
      • 2.Residual and Secondary Risk, and Risk Register Updates
        02:16
      • 3.Risk Related Contract Decisions and Project Management Plan Updates 1
        05:06

    • Lesson 06 - Key Takeaway

      00:48Preview
      • Key Takeaway
        00:48

    • Lesson 07 - Case Study 5

      01:02
      • Case Study 5
        01:02
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  • Section 08 - Monitor Risk

    Preview

    • Lesson 01 - Learning Objective

      00:22Preview
      • Learning Objective
        00:22

    • Lesson 02 - Monitor Risks Process

      03:57Preview
      • 1.Monitor Risks Process
        03:57

    • Lesson 03 - Monitor Risks Input

      02:40Preview
      • 1.Monitor Risks Input
        02:40

    • Lesson 04 - Monitor Risks Tools and Techniques

      08:40
      • 1.Tools and Techniques - Data Analysis
        04:09
      • 2.Tools and Techniques - Meetings
        04:31

    • Lesson 05 - Monitor Risks Output

      09:46
      • 1.Monitor Risks Output
        07:30
      • 2.Risk Reassessment
        02:16

    • Lesson 06 - Conducting Risk Audit

      05:19
      • 1.Conducting Risk Audit
        05:19

    • Lesson 07 - Monitor Risk Process Documentation and Project Closure

      03:36
      • 1.Monitor Risk Process Documentation and Project Closure
        03:36

    • Lesson 08 - Key Takeaway

      00:21
      • Key Takeaway
        00:21

    • Lesson 09 - Case Study 8

      02:05
      • Case Study 8
        02:05
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  • Lean Management

    Preview

    • Lesson 01 - Introduction

      41:44Preview
      • 1.1 Welcome
        00:07
      • 1.2 Introduction
        00:36
      • 1.3 Agenda
        00:40
      • 1.4 WHAT IS LEAN
        00:50
      • 1.5 Overview of Lean
        02:06
      • 1.6 Principles of Lean
        02:40
      • 1.7 Types of Waste
        04:59
      • 1.8 Lean Journey
        03:27
      • 1.9 Roots of Lean
        01:00
      • 1.10 Lean at Ford
        02:02
      • 1.11 Toyota Production System (TPS)
        01:35
      • 1.12 Just In Time (JIT)
        04:25
      • 1.13 Lean Successes and Benefits
        01:06
      • 1.14 Efficiency Business Model Fit
        04:11
      • 1.15 Cash Flow Improvement
        01:53
      • 1.16 Increased Capacity for Revenue
        01:36
      • 1.17 Its Challenges
        00:40
      • 1.18 Process Changes Cause a Rethinking of Process Flow
        01:34
      • 1.19 Disruptions Downtime Design Failures
        01:12
      • 1.20 Low Volume High Mix
        02:20
      • 1.21 High Variability Customization Demand
        02:10
      • 1.22 Summary
        00:31
      • 1.23 Quiz
      • 1.24 Thank You
        00:04

    • Lesson 02 - Types of Waste

      24:48Preview
      • 2.1 Welcome
        00:07
      • 2.2 Types of Waste Introduction
        00:36
      • 2.3 Agenda
        00:21
      • 2.4 THE MAIN ONES
        00:54
      • 2.5 Transportation
        02:53
      • 2.6 Inventory
        02:15
      • 2.7 Motion
        01:54
      • 2.8 Waiting
        01:41
      • 2.9 Over Production
        02:02
      • 2.10 Over Processing
        01:51
      • 2.11 Defect
        01:30
      • 2.12 Other Types of Waste
        00:25
      • 2.13 Underutilized Skills
        01:18
      • 2.14 Wrong Use of Automation
        03:00
      • 2.15 Wrong Use of Metrics
        03:09
      • 2.16 Summary
        00:49
      • 2.17 Quiz
      • 2.18 Thank You
        00:03

    • Lesson 03 - Tools

      48:45Preview
      • 3.1 Welcome
        00:07
      • 3.2 Lean Management Tools
        00:35
      • 3.3 Agenda
        02:06
      • 3.4 Five-S Plus One
        00:35
      • 3.5 Seiri
        03:03
      • 3.6 Seiton
        02:09
      • 3.7 Seiso
        04:28
      • 3.8 Seiketsu
        04:02
      • 3.9 Shitsuke
        03:51
      • 3.10 Safety
        00:57
      • 3.11 Five-S plus One Summary
        01:05
      • 3.12 Value Stream Mapping
        02:13
      • 3.13 Kaizen
        04:06
      • 3.14 Kaizen Blitz
        01:43
      • 3.15 Takt
        03:10
      • 3.16 Jidoka
        01:47
      • 3.17 Kanban
        05:04
      • 3.18 Poka Yoke
        03:32
      • 3.19 SMED
        03:33
      • 3.20 Summary
        00:36
      • 3.21 Quiz
      • 3.22 Thank You
        00:03

    • Lesson 04 - Lean in Manufacturing

      14:00Preview
      • 4.1 Welcome
        00:07
      • 4.2 Lean in Manufacturing
        00:36
      • 4.3 Agenda
        00:28
      • 4.4 Background
        04:59
      • 4.5 Boeings Lean Journey
        00:31
      • 4.6 History and Background
        01:14
      • 4.7 Lean Principles Embraced
        01:32
      • 4.8 Lean Implementation
        01:52
      • 4.9 Waste Elimination Focus Areas
        02:13
      • 4.10 Summary
        00:25
      • 4.11 Quiz
      • 4.12 Thank You
        00:03

    • Lesson 05 - Lean in Service

      18:07Preview
      • 5.1 Welcome
        00:07
      • 5.2 Lean in Service
        00:36
      • 5.3 Agenda
        00:21
      • 5.4 Background
        03:21
      • 5.5 Lean in Healthcare
        00:17
      • 5.6 Types of Waste
        03:03
      • 5.7 Case Study Virginia Mason
        09:47
      • 5.8 Summary
        00:31
      • 5.9 Quiz
      • 5.10 Thank You
        00:04

    • Lesson 06 - Lean in Office

      15:56Preview
      • 6.1 Welcome
        00:08
      • 6.2 Lean Management Lean in Office
        00:51
      • 6.3 Agenda
        00:23
      • 6.4 Background
        01:25
      • 6.5 Lean in Office
        00:19
      • 6.6 Five-S in Office
        07:21
      • 6.7 Types of Waste in Office
        01:58
      • 6.8 Types of Waste in Office(cont.)
        02:32
      • 6.9 Summary
        00:56
      • 6.10 Quiz
      • 6.11 Thank You
        00:03

    • Lesson 07 - Lean Metrics

      29:55Preview
      • 7.1 Welcome
        00:08
      • 7.2 Lean Management Lean Metrics
        00:53
      • 7.3 Agenda
        01:04
      • 7.4 Overview
        02:44
      • 7.5 OEE
        06:25
      • 7.6 FPY & RTY
        02:42
      • 7.7 Days in Inventory
        01:46
      • 7.8 Schedule Adherence Attainment
        04:31
      • 7.9 Lean Accounting
        04:52
      • 7.10 Lean Accounting(Cont.)
        03:15
      • 7.11 Summary
        01:30
      • 7.12 Quiz
      • 7.13 Thank You
        00:05

    • Lesson 08 - Other Methodologies That Complement Lean

      29:55Preview
      • 8.1 Welcome
        00:08
      • 8.2 Lean Management Other Methodologies That Complement Lean
        00:52
      • 8.3 Agenda
        00:46
      • 8.4 Theory of Constraints
        04:10
      • 8.5 Theory of Constraints(Cont.)
        08:25
      • 8.6 Quick Response Manufacturing
        04:45
      • 8.7 Factory Physics
        02:11
      • 8.8 Six Sigma
        05:18
      • 8.9 Six Sigma Implementation Roles
        02:17
      • 8.10 Summary
        00:59
      • 8.11 Quiz
      • 8.12 Thank You
        00:04

    • Lesson 09 - Lean Maturity Matrix

      22:00
      • 9.1 Welcome
        00:08
      • 9.2 Lean Maturity Matrix
        00:51
      • 9.3 Agenda
        00:30
      • 9.4 Overview
        02:43
      • 9.5 Assessment Process
        02:38
      • 9.6 Assessment Criteria
        06:30
      • 9.7 Lean Maturity Levels
        06:50
      • 9.8 Lean Maturity Matrix
        00:48
      • 9.9 Summary
        00:58
      • 9.10 Quiz
      • 9.11 Thank You
        00:04
  • Free Course

  • Certification of Capability in Business Analysis (CCBA®)

    Preview

    • Lesson 01 - Introduction to IIBA® and CCBA® Certification

      12:57Preview
      • 1.1 Introduction to CCBA® Certification
        12:57

    • Lesson 02 - Introduction to BABOK® V3

      18:12Preview
      • 2.1 Introduction to BABOK® V3
        02:41
      • 2.2 Business Analysis
        10:16
      • 2.3 Competencies of a Business Analyst
      • 2.4 Techniques referred to by BABOK® V3
        04:25
      • 2.5 Quiz
      • 2.6 Key Takeaways
        00:50

    • Lesson 03 - Business Analysis Planning and Monitoring

      32:29Preview
      • 3.1 Introduction to Business Analysis Planning and Monitoring
        10:58
      • 3.2 Plan Stakeholder Engagement
        10:09
      • 3.3 Plan Business Analysis Governance
        02:55
      • 3.4 Plan Business Analysis Information Management
        02:30
      • 3.5 Identify Business Analysis
        04:35
      • 3.6 Quiz
      • 3.7 Key Takeaways
        01:22
      • 3.8 Case Study

    • Lesson 04 - Elicitation and Collaboration

      33:40Preview
      • 4.1 Introduction to Elicitation and Collaboration
        03:01
      • 4.2 Prepare For Elicitation
        03:39
      • 4.3 Conduct Elicitation
        19:09
      • 4.4 Confirm Elicitation Results
        01:51
      • 4.5 Communicate Business Analysis Information
        01:55
      • 4.6 Manage stakeholder collaboration
        02:59
      • 4.7 Quiz
      • 4.8 Key Takeaways
        01:06
      • 4.9 Case Study

    • Lesson 05 - Requirements Life Cycle Management

      38:58Preview
      • 5.1 Introduction to Requirements Life Cycle Management
        05:48
      • 5.2 Trace Requirements
        04:07
      • 5.3 Maintain Requirements
        03:01
      • 5.4 Prioritize Requirements
        12:44
      • 5.5 Assess Requirements Changes
        04:36
      • 5.6 Approve Requirements
        06:32
      • 5.7 Quiz
      • 5.8 Key Takeaways
        02:10
      • 5.9 Case Study

    • Lesson 06 - Strategy Analysis

      58:25Preview
      • 6.1 Introduction to Strategy Analysis
        04:33
      • 6.2 Analyze Current State
        14:19
      • 6.3 Define Future State
        18:11
      • 6.4 Assess Risks
        07:21
      • 6.5 Define Change Strategy
        12:30
      • 6.6 Quiz
      • 6.7 Key Takeaways
        01:31
      • 6.8 Case Study

    • Lesson 07 - Requirements Analysis and Design Definition

      01:03:37Preview
      • 7.1 Introduction to Requirements Analysis and Design Definition
        05:35
      • 7.2 Specify and Model Requirements
        30:43
      • 7.3 Verify Requirements
        04:58
      • 7.4 Validate Requirements
        03:12
      • 7.5 Define Requirements Architecture
        03:54
      • 7.6 Define Design Options
        05:40
      • 7.7 Analyze Potential Value and Recommend Solution
        07:19
      • 7.8 Quiz
      • 7.9 Key Takeaways
        02:16
      • 7.10 Case Study

    • Lesson 08 - Solution Evaluation

      37:54Preview
      • 8.1 Introduction to Solution Evaluation
        04:26
      • 8.2 Measure Solution Performance
        05:33
      • 8.3 Analyze Performance Measures
        07:42
      • 8.4 Assess Solution Limitations
        04:28
      • 8.5 Assess Enterprise Limitations
        08:07
      • 8.6 Recommend Actions to Increase Solution Value
        06:25
      • 8.7 Quiz
      • 8.8 Key Takeaways
        01:13
      • 8.9 Case Study
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  • Introduction to Digital Marketing

    Preview

    • Introduction to SEO

      14:56Preview
      • 1 Part 1 - Introduction to SEO
        08:33
      • 2 Part 2 - A Model of Search Engines
        06:23

    • Introduction to Social Media

      43:43Preview
      • 1 Part 01 - Understanding Social Media Strategy
        24:03
      • 2 Part 02 - Building a Social Media Strategy
        19:40

    • Introduction to Content Marketing

      18:28
      • 1 Introduction to Content Marketing
        18:28

    • Introduction to Email Marketing

      14:36Preview
      • 1 Part 1 - Introduction to Email
        04:54
      • 2 Part 2 - Basic Terminology
        09:42

    • Introduction to Mobile Marketing

      15:17
      • 1 Introduction to Mobile Marketing
        15:17

    • Introduction to PPC

      27:21Preview
      • 1 Part 1 - Introduction to PPC
        13:36
      • 2 Part 2 - Psychology of Search
        13:45

    • Introduction to Conversion Optimization

      15:19
      • 1 Introduction to Conversion Optimization
        15:19

    • Introduction to Digital Analytics

      18:13
      • 1 Introduction to Digital Analytics
        18:13

    • Introduction to Marketing Automation

      10:33Preview
      • 1 Introduction to Marketing Automation
        10:33

    • Introduction to Programmatic Buying

      07:59
      • 1 Introduction to Programmatic Buying
        07:59

    • Introduction to Digital Marketing Test

      • Digital Marketing Introduction Test
  • Free Course

  • Financial Modeling with MS Excel

    Preview

    • Module 00 - Introduction

      04:13Preview
      • 1 Introduction to Financial Modeling program
        00:29
      • 2 Agenda
        00:21
      • 3.What is Financial Modeling
        00:18
      • 4 Course structure
        01:33
      • 5 Spreadsheet usage in Financial Modeling
        01:13
      • 6 Thank You
        00:19

    • Module 1A - Part 01 - Introduction to valuation modeling

      39:38Preview
      • 1 Module 1-A : Valuation modelling Part 1 - Introduction to valuation modelling
        00:55
      • 2 Agenda
        01:21
      • 3 Understanding integrated financial models
        00:55
      • 4 Understanding integrated financial model (ctd1)
        01:22
      • 5 Understanding integrated financial models (ctd2)
        01:46
      • 6 Understanding integrated financial models (ctd3)
        01:14
      • 7 Understanding integrated financial models (cdt4)
        01:14
      • 8 Understanding integrated financial models (cdt5)
        00:47
      • 9 Understanding integrated financial models (cdt6)
        01:20
      • 10 Case study 1 : How to define a worst case scenario
        01:10
      • 11 Scenario analysis
        00:55
      • 12 Case study 1 : how to define a worst case scenario (ctd1)
        01:06
      • 13 Case study 1 : How to define a worst case scenario (ctd2)
        01:26
      • 14 Working with cash-flows
        01:16
      • 15 Working with cash-flows (ctd1)
        00:32
      • 16 Case study 2 : building a cash-flow projection for a fixed-coupon bond
        00:19
      • 17 Interest-rates and the price of time
        00:50
      • 18 Interest-rates and the price of time (ctd1)
        01:07
      • 19 Interest-rates and the price of time (ctd2)
        01:29
      • 20 Interest-rates and the price of time (ctd3)
        01:04
      • 21 Interest-rates and the price of time (ctd4)
        01:06
      • 22 Quiz
        16:16
      • 23 Thank You
        00:08

    • Module 1A - Part 02 - Putting it together : How to value a company

      30:51Preview
      • 1 Module 1-A : Valuation modelling Part 2 - Putting it together : How to value a company
        00:53
      • 2 Agenda
        01:38
      • 3 Backward-looking accounting-based valuation techniques
        00:54
      • 4 Backward-looking accounting-based valuation techniques (ctd1)
        00:51
      • 5 Backward-looking accounting-based valuation techniques (ctd2)
        01:35
      • 6 Backward-looking accounting-based valuation techniques (ctd3)
        00:30
      • 7 Backward-looking accounting-based valuation techniques (ctd4)
        00:50
      • 8 Backward-looking accounting-based valuation techniques (ctd5)
        01:23
      • 9 Backward-looking accounting-based valuation techniques (ctd6)
        00:36
      • 10 Backward-looking accounting-based valuation techniques (ctd7)
        01:36
      • 11 Backward-looking accounting-based valuation techniques (ctd8)
        00:45
      • 12 Backward-looking accounting-based valuation techniques (ctd9)
        00:40
      • 13 Backward-looking accounting-based valuation techniques (ctd10)
        01:10
      • 14 Case study 3 : profitability analysis
        01:00
      • 15 Forward-looking accounting-based valuation techniques
        01:20
      • 16 Forward-looking accounting-based valuation techniques (ctd1)
        00:58
      • 17 Forward-looking accounting-based valuation techniques (ctd2)
        01:04
      • 18 Discounted cash-flows valuation techniques
        01:33
      • 19 Discounted cash-flows valuation techniques (ctd1)
        00:54
      • 20 Discounted cash-flows valuation techniques (ctd2)
        01:09
      • 21 Discounted cash-flows valuation techniques (ctd3)
        01:12
      • 22 Discounted cash-flows valuation techniques (ctd4)
        00:52
      • 23 Quiz
        07:25
      • 24 Thank You
        00:03

    • Module 1B - Part 01 - Profitability analysis

      30:46Preview
      • 1 Module 1-B : Project finance modeling Part 1 - Profitability analysis
        01:05
      • 2 Agenda
        01:30
      • 3 The Internal Rate of Return (IRR)
        01:43
      • 4 Case study: Calculating an IRR
        00:47
      • 5 Case study: Calculating an IRR (ctd1)
        01:07
      • 6 Analysis of costs
        00:53
      • 7 Analysis of costs (ctd...)
        01:10
      • 8 Analysis of costs (ctd...)
        00:59
      • 9 Opportunity cost
        00:50
      • 10 Opportunity cost (ctd 1)
        00:36
      • 11 Opportunity cost (ctd 2)
        00:54
      • 12 Case study: The prisoner's dilemma
        00:50
      • 13 Case study: The prisoner's dilemma (ctd1)
        00:49
      • 14 Case study: The prisoner's dilemma (ctd2)
        00:32
      • 15 Case study 6 : Profitability of a Venture Capital(VC) fund investment
        00:49
      • 16 Various measures of profitability
        00:42
      • 17 Case study 6 : Profitability of a Venture Capital(VC) fund investment
        00:31
      • 18 Quiz
        14:51
      • 19 Thank You
        00:08

    • Module 1B - Part 02 - Capital usage and diversification

      26:53Preview
      • 1 Module 1-B : Project finance modelling Part 2 - Capital usage and diversification
        00:56
      • 2 Agenda
        00:57
      • 3 Introduction to Capital
        00:36
      • 4 Introduction to Capital (ctd 1)
        00:26
      • 5 Introduction to Capital (ctd 2)
        00:41
      • 6 Introduction to Capital (ctd 3)
        00:37
      • 7 Introduction to Capital (ctd 4)
        00:58
      • 8 Introduction to Capital (ctd 5)
        00:46
      • 9 Capital-based profitability measures
        00:44
      • 10 Capital-based profitability measures (ctd 1)
        01:22
      • 11 Capital-based profitability measures (ctd 2)
        01:32
      • 12 Capital-based profitability measures (ctd 3)
        00:51
      • 13 Capital-based profitability measures (ctd 4)
        00:53
      • 14 Capital-based profitability measures (ctd 5)
        01:52
      • 15 Contribution of additional risks
        01:00
      • 16 Case study 7 : understanding diversification
        01:19
      • 17 Case study 7 : Understanding diversification (ctd 1)
        01:37
      • 18 Assessing required capital
        01:01
      • 19 Case study 8 : Calculating a Value at Risk
        00:55
      • 20 Case study 8 : Calculating a Value at Risk (ctd 1)
        01:03
      • 21 Quiz
        06:39
      • 22 Thank You
        00:08

    • Module 1C - Part 01 - Advanced company valuation

      23:10Preview
      • 1 Module 1-C : Merger and acquisition modeling Part 1 - Advanced company valuation
        00:51
      • 2 Agenda
        01:39
      • 3 From several values to one valuation
        01:15
      • 4 From several values to one valuation (ctd1)
        01:07
      • 5 From several values to one valuation (ctd2)
        01:38
      • 6 From several values to one valuation (ctd3)
        00:35
      • 7 From several values to one valuation (ctd4)
        00:52
      • 8 From several values to one valuation (ctd5)
        01:06
      • 9 Influence of external factors
        00:58
      • 10 Influence of external factors (ctd1)
        01:14
      • 11 Case study 9: impact of credit rating agencies
        00:41
      • 12 Case study 9: impact of credit rating agencies (ctd1)
        01:00
      • 13 Case study 9: impact of credit rating agencies (ctd2)
        01:40
      • 14 Case study 9: impact of credit rating agencies (ctd3)
        01:25
      • 15 Analysis of synergies
        01:00
      • 16 Analysis of synergies (cdt1)
        00:57
      • 17 Quiz
        05:04
      • 18 Thank You
        00:08

    • Module 1C - Part 02 - Debt and equity structures

      23:53Preview
      • 1 Module 1-C : Merger and acquisitions modelling Part 2 - Debt and equity structures
        01:04
      • 2 Agenda
        01:31
      • 3 Financing acquisition deals
        01:19
      • 4 Financing acquisition deals (ctd1)
        01:24
      • 5 Financing acquisition deals (ctd2)
        00:49
      • 6 The various types of M and A deals
        01:13
      • 7 The various types of M and A deals (ctd1)
        00:34
      • 8 Case study 10: valuing warrants
        01:41
      • 9 Case study 10: valuing warrants (ctd1)
        01:05
      • 10 Case study 10: valuing warrants (ctd2)
        00:45
      • 11 Capital increases: dilution and accretion effects
        01:18
      • 12 Case study 11: Leveraged buy-outs
        01:05
      • 13 Case study 11: Leveraged buy-outs (ctd1)
        00:54
      • 14 Case study 12: Full valuation model
        01:09
      • 15 Case study 12: Full valuation model (ctd1)
        00:29
      • 16 Case study12 Full valuation model (ctd2)
        00:45
      • 17 Quiz
        06:40
      • 18 Thank You
        00:08

    • Module 2A - Part 01 - Introduction to the use of macros

      31:48Preview
      • 1 Module 2-A : Macros for financial modelling Part 1 - Introduction to the use of macros
        01:03
      • 2 Agenda
        01:23
      • 3 Writing and using macros
        01:20
      • 4 Writing and using macros (cdt1)
        00:57
      • 5 Writing and using macros (cdt2)
        01:42
      • 6 Writing and using macros
        00:52
      • 7 Case study 13: price of a fixed coupon bond macro
        01:05
      • 8 Case study 13: price of a fixed coupon bond macro (ctd1)
        00:54
      • 9 Case study 13: price of a fixed coupon bond macro (ctd1)
        01:02
      • 10 Case study 13: price of a fixed coupon bond macro (ctd1)
        01:11
      • 11 Working with cells and ranges
        01:45
      • 12 Working with cells and ranges (ctd1)
        01:27
      • 13 Working with cells and ranges (ctd2)
        00:38
      • 14 Working with cells and ranges (ctd1)
        00:38
      • 15 Working with cells and ranges (ctd2)
        01:08
      • 16 Working with cells and ranges (ctd3)
        01:09
      • 17 Working with cells and ranges (ctd4)
        01:14
      • 18 Working with cells and ranges (ctd5)
        01:06
      • 19 Case study 14: applying a function to an array
        01:17
      • 20 Working with cells and ranges (ctd6)
        01:17
      • 21 Using VB forms controls for flexible GUIs
        01:07
      • 22 Case study 15: Displaying the result of a calculation in a VB form
        01:04
      • 23 Quiz
        06:29

    • Module 2A - Part 02 - Dynamic use of macros and advanced concepts

      31:22Preview
      • 1 Module 2-A : Macros for financial modelling Part 2 - Dynamic use of macros and advanced concepts
        00:53
      • 2 Agenda
        02:08
      • 3 The various elements of VBA coding
        02:03
      • 4 The various elements of VBA coding (ctd1)
        00:26
      • 5 The various elements of VBA coding (ctd2)
        01:53
      • 6 The various elements of VBA coding (ctd3)
        01:07
      • 7 The various elements of VBA coding (ctd4)
        01:17
      • 8 The various elements of VBA coding (ctd5)
        01:12
      • 9 Case study 16: defining new types of objects
        01:09
      • 10 Case study 16: defining new types of objects (ctd1)
        01:01
      • 11 Case study 16: defining new types of objects (ctd2)
        00:32
      • 12 Case study 16: defining new types of objects (ctd3)
        00:37
      • 13 Case study 16: defining new types of objects (ctd4)
        00:05
      • 14 Breaking circular loops
        01:00
      • 15 Breaking circular loops (ctd1)
        00:50
      • 16 Writing a comprehensive macro
        00:43
      • 17 Case study 17: Monte-Carlo simulation macro to price an equity option
        02:01
      • 18 Case study 17: Monte-Carlo simulation macro to price an equity option (ctd1)
        01:23
      • 19 Case study 17: Monte-Carlo simulation macro to price an equity option (ctd2)
        00:39
      • 20 Case study 17: Monte-Carlo simulation macro to price an equity option (ctd3)
        00:13
      • 21 Quiz
        10:10

    • Module 2B - Part 01 - Spreadsheet data manipulation

      18:46Preview
      • 1 Module 2-B : Advanced Excel Functions for Financial Modelling Part 1 - Spreadsheet Data Manipulation
        01:28
      • 2 Agenda
        00:52
      • 3 Search Functions
        00:55
      • 4 Search Functions (ctd1)
        02:55
      • 5 Case study: Vlookup Function
        01:27
      • 6 Ranges and Names
        01:18
      • 7 Name Manager
        00:18
      • 8 Name Manager (ctd1)
        00:15
      • 9 Introduction to the Excel Solver
        02:55
      • 10 Introduction to the Excel Solver (ctd1)
        00:08
      • 11 Case study: calculating an IRR using the Excel Solver
        01:51
      • 12 Case study: calculating an IRR (ctd1)
        01:12
      • 13 Quiz
        03:04
      • 14 Thank You
        00:08

    • Module 2B - Part 02 - Using excel built-in functions

      38:10Preview
      • 1 Module 2-B : Advanced Excel Functions for Financial Modelling Part 2 - Using excel built-in functions
        00:39
      • 2 Agenda
        01:09
      • 3 Statistical Functions
        02:49
      • 4 Case study: Percentile Function
        00:59
      • 5 Case study: Percentrank Function
        01:28
      • 6 Probabilistic Functions
        01:23
      • 7 Normal Distribution Functions
        00:55
      • 8 Normal Distribution Functions
        01:08
      • 9 Normal Distribution Functions
        00:51
      • 10 Normal Distribution Functions
        01:16
      • 11 Normal Distribution Functions
        00:56
      • 12 Case study: Black-Scholes Model
        00:45
      • 13 Case study: Black-Scholes Model (ctd1)
        00:10
      • 14 Case study: Black-Scholes Model (ctd2)
        00:12
      • 15 Case study: Black-Scholes Model (ctd3)
        01:48
      • 16 Date and Time Functions
        01:37
      • 17 Date and Time Functions
        01:58
      • 18 Case study: Bond Valuation using DAYS360 Function
        01:50
      • 19 Case study: Bond Valuation using DAYS360 Function
        01:42
      • 20 Case study: Bond Valuation using DAYS360 Function
        02:51
      • 21 Case study: Bond Valuation using DAYS360 Function
        05:44
      • 22 Text and String Functions
        01:34
      • 23 Text and String Functions (ctd1)
        01:20
      • 24 Text and String Functions (ctd2)
        00:56
      • 25 Quiz
        02:02
      • 26 Thank You
        00:08

    • Module 2C - Part 01 - Using charts in Excel

      16:20Preview
      • 1 Module 2-C : Advanced charting and dash-boarding techniques Part 11 - Using charts in Excel
        00:53
      • 2 Agenda
        01:00
      • 3 Charts basics
        00:48
      • 4 Charts basics (ctd1)
        01:03
      • 5 Charts basics - Case study 23: examples of charts
        01:14
      • 6 Charts basics - Case study 23: examples of charts (ctd1)
        01:21
      • 7 Charts basics - Case study 23: examples of charts (ctd2)
        00:56
      • 8 Charts basics - Case study 23: examples of charts (ctd3)
        00:53
      • 9 Charts basics - Case study 23: examples of charts (ctd4)
        01:05
      • 10 Charts formatting
        00:27
      • 11 Charts formatting (ctd1)
        00:48
      • 12 Charts formatting (ctd2)
        00:21
      • 13 Charts formatting (ctd3)
        00:28
      • 14 Advanced charting techniques
        00:36
      • 15 Advanced charting techniques (ctd1)
        00:49
      • 16 Advanced charting techniques (ctd2)
        00:41
      • 17 Advanced charting techniques (ctd3)
        00:25
      • 18 Advanced charting techniques - Case study 24: changing the data ranges from VB
        00:33
      • 19 Quiz
        01:51
      • 20 Thank You
        00:08

    • Module 2C - Part 02 - Using tables and automatic formatting

      12:00Preview
      • 1 Module 2-C : Advanced charting and dash-boarding techniques Part 2 - Using tables and automatic formatting
        01:07
      • 2 Agenda
        01:03
      • 3 Using tables
        00:56
      • 4 Using tables (ctd1)
        00:44
      • 5 Creating dashboards
        00:44
      • 6 Creating dashboards (ctd1)
        00:44
      • 7 Creating dashboards (ctd2)
        00:44
      • 8 Creating dashboards (ctd3)
        00:44
      • 9 Creating dashboards (ctd4)
        00:44
      • 10 Creating dashboards (ctd5)
        01:20
      • 11 Creating dashboards - Case study 25: creating a company dashboard
        00:57
      • 12 Quiz
        02:05
      • 13 Thank You
        00:08
  • Free Course

  • Financial modeling with excel advanced

    Preview

    • Module 01 - ValuationModeling

      39:27Preview
      • 1.1 Welcome
        00:07
      • 1.2 Advanced Financial Modeling Course
        00:48
      • 1.3 Advanced Financial Modeling An Introduction
        02:10
      • 1.4 Advanced FM Course Contents
        02:13
      • 1.5 Valuation Modeling
        00:45
      • 1.6 Agenda
        00:50
      • 1.7 Excel Shortcuts for Financial Modeling 1
        02:53
      • 1.8 Excel Shortcuts for Financial Modeling 2
        02:04
      • 1.9 Excel Formulas for Financial Modeling
        02:30
      • 1.10 Building Historical and Projected Financial Statements
        10:14
      • 1.11 Ratio Analysis 1
        02:35
      • 1.12 Ratio Analysis 2
        03:13
      • 1.13 Ratio Analysis 3
        02:41
      • 1.14 Ratio Analysis 4
        05:25
      • 1.15 Summary
        00:55
      • 1.16 Quiz
      • 1.17 Thank You
        00:04

    • Module 02 - Merger and Acquisition Analysis

      24:47Preview
      • 2.1 Welcome
        00:07
      • 2.2 Merger and Acquisition Analysis
        00:24
      • 2.3 Agenda
        00:35
      • 2.4 Merger and Acquisition Analysis Basics
        02:36
      • 2.5 Bid Evaluation
        09:47
      • 2.6 Accretion and Dilution Analysis
        03:29
      • 2.7 Accretion and Dilution Analysis Example
        02:41
      • 2.8 Contribution Analysis
        01:04
      • 2.9 Contribution Analysis Example
        03:21
      • 2.10 Summary
        00:39
      • 2.11 Quiz
      • 2.12 Thank You
        00:04

    • Module 03 - Project Finance Modeling

      25:22Preview
      • 3.1 Welcome
        00:07
      • 3.2 Project Finance Modeling
        00:46
      • 3.3 Agenda
        00:39
      • 3.4 Project Finance An Introduction
        03:03
      • 3.5 Project Finance Modeling An Introduction
        02:18
      • 3.6 Date Functions in Excel
        04:13
      • 3.7 Risk Analysis
        03:10
      • 3.8 Modeling Cash Flow Waterfall
        03:42
      • 3.9 Circular References and Modeling IDC
        06:29
      • 3.10 Summary
        00:51
      • 3.11 Quiz
      • 3.12 Thank You
        00:04

    • Module 04 - Monte Carlo Simulation

      20:03Preview
      • 4.1 Welcome
        00:06
      • 4.2 Monte Carlo Simulation
        01:01
      • 4.3 Agenda
        00:33
      • 4.4 Monte Carlo Simulation An Introduction
        04:25
      • 4.5 Monte Carlo Simulation Alternative Approaches
        04:30
      • 4.6 Monte Carlo Simulation Using Excel Worksheet
        08:39
      • 4.7 Summary
        00:46
      • 4.8 Quiz
      • 4.9 Thank You
        00:03

    • Module 05 - Advanced MapReduce

      17:31Preview
      • 5.1 Welcome
        00:07
      • 5.2 Advanced Excel Functions for FM
        00:42
      • 5.3 Agenda
        00:33
      • 5.4 The INDEX Function
        06:55
      • 5.5 The MATCH Function
        04:44
      • 5.6 Advanced Lookups Using INDEX and MATCH
        03:41
      • 5.7 Summary
        00:44
      • 5.8 Quiz
      • 5.9 Thank You
        00:05

    • Module 06 - Advanced Charting Techniques

      07:46Preview
      • 6.1 Welcome
        00:06
      • 6.2 Advanced Charting Techniques
        00:40
      • 6.3 Agenda
        00:33
      • 6.4 Creating a Valuation Football Field Chart
        03:32
      • 6.5 Valuation Football Field Godrej Properties Example 1
        00:11
      • 6.6 Valuation Football Field Godrej Properties Example 2
        00:58
      • 6.7 Floating Bar Charts Importance and Uses
        01:03
      • 6.8 Summary
        00:40
      • 6.9 Quiz
      • 6.10 Thank You
        00:03
  • Free Course

  • Usage of Financial Calculator

    Preview

    • Usage of Financial Calculator

      08:11Preview
      • 1.1 Financial Risk Manager (FRM Use of Financial Calculator)
        01:01
      • 1.2 Agenda
        00:35
      • 1.3 Approved Calculators
        00:23
      • 1.4 Time Value of Money - First step
        00:45
      • 1.5 Time Value of Money - Present Value of Annuities
        00:33
      • 1.6 Time Value of Money - Future Value of Annuities
        00:31
      • 1.7 Time Value of Money - Payment Amount
        00:29
      • 1.8 Time Value of Money - Number of Periods
        00:27
      • 1.9 Time Value of Money - Interest Rate
        00:27
      • 1.10 Time Value of Money - Annuities Due
        00:41
      • 1.11 Uneven Cash Flows
        00:18
      • 1.12 Future Value of Uneven Cash Flows
        00:34
      • 1.13 Internal Rate of Return (IRR)
        00:19
      • 1.14 Bond Valuation
        00:24
      • 1.15 Bond Yield
        00:10
      • 1.16 Bond Duration
        00:26
      • 1.17 Thank You
        00:08
  • Free Course

  • Introduction to Big Data and Hadoop

    Preview

    • Lesson 1.0 - Introduction to Big Data and Hadoop

      29:37Preview
      • 1 Introduction to Big Data and Hadoop
        00:21
      • 2 Objectives
        00:26
      • 3 Need for Big Data
        01:42
      • 4 Three Characteristics of Big Data
        00:35
      • 5 Characteristics of Big Data Technology
        01:52
      • 6 Appeal of Big Data Technology
        00:50
      • 7 Handling Limitations of Big Data
        00:49
      • 8 Introduction to Hadoop
        01:00
      • 9 Hadoop Configuration
        00:53
      • 10 Apache Hadoop Core Components
        00:36
      • 11 Hadoop Core Components—HDFS
        01:07
      • 12 Hadoop Core Components—MapReduce
        00:45
      • 13 HDFS Architecture
        01:13
      • 14 Ubuntu Server—Introduction
        00:51
      • 15 Hadoop Installation—Prerequisites
        00:26
      • 16 Hadoop Multi-Node Installation—Prerequisites
        00:29
      • 17 Single-Node Cluster vs. Multi-Node Cluster
        00:49
      • 18 MapReduce
        01:09
      • 19 Characteristics of MapReduce
        00:56
      • 20 Real-Time Uses of MapReduce
        01:01
      • 21 Prerequisites for Hadoop Installation in Ubuntu Desktop 12.04
        00:20
      • 22 Hadoop MapReduce—Features
        00:52
      • 23 Hadoop MapReduce—Processes
        00:48
      • 24 Advanced HDFS–Introduction
        00:47
      • 25 Advanced MapReduce
        00:55
      • 26 Data Types in Hadoop
        01:15
      • 27 Distributed Cache
        00:41
      • 28 Distributed Cache (contd.)
        00:40
      • 29 Joins in MapReduce
        00:44
      • 30 Introduction to Pig
        00:40
      • 31 Components of Pig
        01:00
      • 32 Data Model
        00:43
      • 33 Pig vs. SQL
        01:07
      • 34 Prerequisites to Set the Environment for Pig Latin
        00:20
      • 35 Summary
        00:55

    • Lesson 1.1 - Hive HBase and Hadoop Ecosystem Components

      29:59Preview
      • 1 Hive, HBase and Hadoop Ecosystem Components
        00:22
      • 2 Objectives
        00:23
      • 3 Hive—Introduction
        00:55
      • 4 Hive—Characteristics
        01:20
      • 5 System Architecture and Components of Hive
        00:18
      • 6 Basics of Hive Query Language
        00:38
      • 7 Data Model—Tables
        00:32
      • 8 Data Types in Hive
        00:16
      • 9 Serialization and De serialization
        01:19
      • 10 UDF/UDAF vs. MapReduce Scripts
        00:47
      • 11 HBase—Introduction
        01:15
      • 12 Characteristics of HBase
        00:42
      • 13 HBase Architecture
        01:04
      • 14 HBase vs. RDBMS
        01:08
      • 15 Cloudera—Introduction
        00:44
      • 16 Cloudera Distribution
        01:07
      • 17 Cloudera Manager
        00:34
      • 18 Hortonworks Data Platform
        00:42
      • 19 MapR Data Platform
        00:43
      • 20 Pivotal HD
        00:53
      • 21 Introduction to ZooKeeper
        00:23
      • 22 Features of ZooKeeper
        01:12
      • 23 Goals of ZooKeeper
        00:38
      • 24 Uses of ZooKeeper
        00:49
      • 25 Sqoop—Reasons to Use It
        01:26
      • 26 Sqoop—Reasons to Use It (contd.)
        01:09
      • 27 Benefits of Sqoop
        00:42
      • 28 Apache Hadoop Ecosystem
        00:59
      • 29 Apache Oozie
        00:43
      • 30 Introduction to Mahout
        00:22
      • 31 Usage of Mahout
        00:28
      • 32 Apache Cassandra
        00:54
      • 33 Apache Spark
        01:28
      • 34 Apache Ambari
        00:32
      • 35 Key Features of Apache Ambari
        00:51
      • 36 Hadoop Security—Kerberos
        00:53
      • 37 Summary
        00:48

    • Lesson 1.2 - Quiz

      • Quiz

    • Lesson 1.3 - Thank You

      00:09
      • Thank You
        00:09
  • Free Course

  • Apache Cassandra

    Preview

    • Lesson 0 - Course Overview

      03:04Preview
      • 0.001 Course Overview
        00:14
      • 0.003 Course Objectives
        00:24
      • 0.004 Course Overview
        00:32
      • 0.005 Target Audience
        00:25
      • 0.006 Course Prerequisites
        00:21
      • 0.007 Value to the Professionals
        00:37
      • 0.008 Lessons Covered
        00:22
      • 0.009 Conclusion
        00:09

    • Lesson 1 - Apache Cassandra L1 Overview Big Data and NoSQL Database

      19:12Preview
      • 1.001 Overview of Big Data and NoSQL Database
        00:12
      • 1.002 Course Map
        00:19
      • 1.003 Objectives
        00:23
      • 1.004 The 3 Vs of Big Data
        00:54
      • 1.005 Volume
        00:40
      • 1.006 Data Sizes-Terms
        00:31
      • 1.007 Velocity
        00:56
      • 1.008 Variety
        00:40
      • 1.009 Data Evolution
        00:42
      • 1.010 Features of Big Data
        00:57
      • 1.011 Big Data-Use Cases
        01:26
      • 1.012 Big Data Analytics
        00:55
      • 1.013 Traditional Technology vs. Big Data Technology
        01:05
      • 1.014 Apache Hadoop
        01:06
      • 1.015 HDFS
        01:04
      • 1.016 MapReduce
        00:49
      • 1.017 NoSQL Databases
        01:08
      • 1.018 Brewers CAP Principle
        00:59
      • 1.019 Approaches to NoSQL Databases-Types
        03:22
      • 1.20 Quiz
      • 1.021 Summary
        00:56
      • 1.022 Conclusion
        00:08

    • Lesson 2 - Introduction to Cassandra

      17:07Preview
      • 2.001 Introduction to Cassandra
        00:10
      • 2.002 Course Map
        00:11
      • 2.003 Objectives
        00:20
      • 2.004 Introducing Cassandra
        00:22
      • 2.005 Behind the Name
        00:23
      • 2.006 History of Cassandra
        00:54
      • 2.007 Main Features of Cassandra
        00:34
      • 2.008 When is Cassandra Used
        00:47
      • 2.009 Simple Cassandra Program
        00:35
      • 2.010 Cassandra Command Line Interface
        00:58
      • 2.011 Advantages of Cassandra
        00:43
      • 2.012 Limitations of Cassandra
        00:38
      • 2.013 VMware
        00:28
      • 2.014 Simplilearn Virtual Machine
        00:25
      • 2.015 PuTTY
        00:20
      • 2.16 WinSCP
      • 2.017 Demo-Install and Setup VM
        00:07
      • 2.018 Demo-Install and Setup VM
        08:12
      • 2.19 Quiz
      • 2.020 Summary
        00:52
      • 2.021 Conclusion
        00:08

    • Lesson 3 - Cassandra Architecture

      22:16Preview
      • 3.001 Cassandra Architecture
        00:11
      • 3.002 Course Map
        00:10
      • 3.003 Objectives
        00:21
      • 3.004 Architecture Requirements of Cassandra
        00:54
      • 3.005 Cassandra Architecture
        01:01
      • 3.006 Cassandra Architecture (contd.)
        00:23
      • 3.007 Effects of the Architecture
        01:02
      • 3.008 Cassandra Write Process
        01:10
      • 3.009 Rack
        00:54
      • 3.010 Cassandra Read Process
        01:19
      • 3.011 Example of Cassandra Read Process
        01:27
      • 3.012 Data Partitions
        01:14
      • 3.013 Replication in Cassandra
        00:59
      • 3.014 Network Topology
        01:43
      • 3.015 Snitches
        00:31
      • 3.016 Gossip Protocol
        01:08
      • 3.017 Seed Nodes
        00:48
      • 3.018 Configuration
        00:37
      • 3.019 Virtual Nodes
        01:19
      • 3.020 Token Generator
        00:56
      • 3.021 Example of Token Generator
        01:10
      • 3.022 Failure Scenarios Node Failure
        00:28
      • 3.023 Failure Scenarios Disk Failure
        00:30
      • 3.024 Failure Scenarios Rack Failure
        00:24
      • 3.025 Failure Scenarios Data Center Failure
        00:38
      • 3.26 Quiz
      • 3.027 Summary
        00:50
      • 3.028 Conclusion
        00:09

    • Lesson 4 - Cassandra Installation and Configuration

      21:35Preview
      • 4.001 Cassandra Installation and Configuration
        00:12
      • 4.002 Course Map
        00:12
      • 4.003 Objectives
        00:19
      • 4.004 Cassandra Versions
        00:53
      • 4.005 Steps to Install and Configure Cassandra on Ubuntu System
        00:42
      • 4.006 Step 1-Operating System Selection
        00:33
      • 4.007 Step 2-Machine Selection
        00:36
      • 4.008 Step 3-Preparing for Installation
        00:23
      • 4.009 Step 4-Setup Repository
        01:12
      • 4.010 Step 5-Install Cassandra
        00:37
      • 4.011 Step 6-Check the Installation
        00:57
      • 4.012 Step 7-Configuring Cassandra
        01:06
      • 4.013 Step 8-Configuration for a Single-Node Cluster
        00:53
      • 4.014 Step 9-Configuration for a Multi-Node and Multi-Datacenter Clusters
        00:37
      • 4.015 Step 10-Setup Property File
        01:15
      • 4.016 Step 11-Configuration for a Production Cluster
        00:33
      • 4.017 Step 12-Setup Gossiping Property File
        00:41
      • 4.018 Step 13-Starting Cassandra Services
        01:07
      • 4.019 Step 14-Connecting to Cassandra
        00:49
      • 4.020 Installing on CentOS
        01:09
      • 4.021 Demo-Installing and Configuring Cassandra on Ubuntu
        00:05
      • 4.022 Demo-Installing and Configuring Cassandra on Ubuntu
        05:36
      • 4.23 Quiz
      • 4.024 Summary
        00:59
      • 4.025 Conclusion
        00:09

    • Lesson 5 - Cassandra Data Model

      53:15Preview
      • 5.001 Cassandra Data Model
        00:10
      • 5.002 Course Map
        00:10
      • 5.003 Objectives
        00:18
      • 5.004 Cassandra Data Model
        00:34
      • 5.005 Cassandra Data Model Components
        00:52
      • 5.006 Keyspaces
        01:09
      • 5.007 Tables
        01:50
      • 5.008 Columns
        00:39
      • 5.009 UUID and TimeUUID
        00:49
      • 5.010 Counter
        01:00
      • 5.011 Compound Keys
        01:32
      • 5.012 Indexes
        00:42
      • 5.013 Collection Columns
        01:07
      • 5.014 Collection Columns Set
        01:09
      • 5.015 DDL and DML Statements
        00:28
      • 5.016 DDL Statements
        01:18
      • 5.017 DML Statements INSERT
        00:55
      • 5.018 DML Statements UPDATE
        01:33
      • 5.019 DML Statements COPY
        01:43
      • 5.020 DML Statements SELECT
        01:11
      • 5.021 SELECT Statements Restrictions
        01:04
      • 5.022 Valid and Invalid SELECT Statements Example
        01:19
      • 5.023 DML Statements DELETE
        00:57
      • 5.024 Demo 1-Data Definition and Data Manipulation Statements
        00:05
      • 5.025 Demo 1-Data Definition and Data Manipulation Statements
        12:25
      • 5.026 Demo 2-Create a Table with Composite Key
        00:05
      • 5.027 Demo 2-Create a Table with Composite Key
        13:31
      • 5.028 Demo 3-Collection Columns in Cassandra
        00:05
      • 5.029 Demo 3-Collection Columns in Cassandra
        03:32
      • 5.30 Quiz
      • 5.031 Summary
        00:55
      • 5.032 Conclusion
        00:08

    • Lesson 6 - Cassandra Interfaces

      11:32Preview
      • 6.001 Lesson 6-Cassandra Interfaces
        00:11
      • 6.002 Course Map
        00:11
      • 6.003 Objectives
        00:28
      • 6.004 Cassandra Interfaces
        00:32
      • 6.005 Cassandra Command Line Interface
        01:02
      • 6.006 Cqlsh Options
        00:52
      • 6.007 Cqlsh Commands
        00:59
      • 6.008 Cqlsh Shell Commands
        01:00
      • 6.009 Cqlsh Help
        00:41
      • 6.010 Java Interfaces
        00:44
      • 6.11 Using the Java Interface
      • 6.012 Querying Cassandra using Java
        00:26
      • 6.013 Java Example
        00:20
      • 6.014 Java Example (contd.)
        00:23
      • 6.15 Full Program
      • 6.016 Compiling the Java Program
        00:39
      • 6.017 Compiling the Java Program (contd.)
        00:55
      • 6.018 Running the Java Program
        00:38
      • 6.019 Java Interface observations
        00:29
      • 6.20 ODBC Interface
      • 6.21 Quiz
      • 6.022 Summary
        00:53
      • 6.023 Conclusion
        00:09

    • Lesson 7 - Cassandra Advanced Architecture

      21:05Preview
      • 7.001 Cassandra Advanced Architecture and Cluster Management
        00:14
      • 7.002 Course Map
        00:13
      • 7.003 Objectives
        00:22
      • 7.004 Partitioning
        00:30
      • 7.005 Murmur3Partitioner
        00:27
      • 7.006 RandomPartitioner
        00:32
      • 7.007 ByteOrderedPartitioner
        00:21
      • 7.008 Replication of Data
        01:16
      • 7.009 Replication Strategy
        00:37
      • 7.010 SimpleStrategy
        01:00
      • 7.011 NetworkTopologyStrategy
        01:03
      • 7.012 NetworkTopologyStrategy (contd.)
        00:37
      • 7.013 Replication Example
        01:05
      • 7.014 Tunable Consistency
        01:24
      • 7.015 Read Consistency
        01:22
      • 7.016 Write Consistency
        01:24
      • 7.017 Read or Write Failure
        01:07
      • 7.018 Hinted Handoff
        00:40
      • 7.019 Time to Live
        00:48
      • 7.020 Tombstones
        00:55
      • 7.021 Monitoring the Cluster
        00:58
      • 7.022 Nodetool Options
        00:12
      • 7.023 Install and Configure OpsCenter
        00:14
      • 7.024 Monitoring with OpsCenter
        00:55
      • 7.025 Monitoring with OpsCenter (contd.)
        00:51
      • 7.026 Administer using OpsCenter
        00:40
      • 7.27 Quiz
      • 7.028 Summary
        01:07
      • 7.029 Conclusion
        00:11

    • Lesson 8 - Apache Ecosystem around Cassandra

      18:03Preview
      • 8.001 Apache Ecosystem around Cassandra
        00:12
      • 8.002 Course Map
        00:13
      • 8.003 Objectives
        00:19
      • 8.004 Stream
        00:45
      • 8.005 Apache Storm
        00:23
      • 8.006 Storm Architecture
        00:37
      • 8.007 Storm Architecture (contd.)
        00:36
      • 8.008 Storm Data Model
        00:44
      • 8.009 Storm Topology
        01:08
      • 8.010 Storm Topology - Example
        01:02
      • 8.011 Apache Kafka
        00:21
      • 8.012 Kafka Data Model
        00:25
      • 8.013 Kafka Data Model (contd.)
        00:34
      • 8.014 Kafka Architecture
        00:36
      • 8.015 Kafka Architecture (contd.)
        00:29
      • 8.016 Kafka-Queue System
        00:47
      • 8.017 Kafka-Publish-Subscribe System
        00:54
      • 8.018 Real-Time Data Analysis Platform
        00:45
      • 8.019 Real-Time Data Analysis Platform (contd.)
        00:27
      • 8.020 Apache Spark
        00:51
      • 8.021 Apache Spark Architecture
        00:46
      • 8.022 Resilient Distributed Datasets
        00:41
      • 8.023 Operations in Spark
        01:06
      • 8.024 Spark and Scala
        01:16
      • 8.025 Spark - Example
        00:56
      • 8.26 Quiz
      • 8.027 Summary
        01:04
      • 8.028 Thank you
        00:06
  • Free Course

  • AWS Technical Essentials

    Preview

    • Lesson 01: Introduction to AWS Cloud Practitioner Course

      29:16Preview
      • 1.01 AWS CP Introduction
        02:04
      • 1.02 Introduction to AWS Cloud Practitioner Course
        05:02
      • 1.03 Domain Introduction
        08:38
      • 1.04 AWS Certification Path
        08:44
      • 1.05 Exam Details
        04:48

    • Lesson 02: Core Concept of Cloud Computing

      01:32:45Preview
      • 2.01 Learning Objectives
        00:50
      • 2.02 Networking Terminologies Part 1
        08:14
      • 2.03 Networking Terminologies Part 2
        07:52
      • 2.04 Client Server Architecture
        07:30
      • 2.05 Classic Data Centres
        06:40
      • 2.06 Virtualization
        07:43
      • 2.07 Basics of Cloud Computing
        07:48
      • 2.08 Cloud Computing Deployment Models
        00:30
      • 2.09 Public Cloud
        06:56
      • 2.10 Private Cloud
        06:02
      • 2.11 Hybrid Cloud
        06:47
      • 2.12 Community Cloud
        02:30
      • 2.13 Comparison of Deployment Models
        03:54
      • 2.14 Cloud Computing Service Models Part 1
        09:02
      • 2.15 Cloud Computing Service Models Part 2
        03:09
      • 2.16 Pizza Analogy
        02:22
      • 2.17 Cloud Service Providers
        03:09
      • 2.18 Summary
        01:47

    • Lesson 03: Introduction to AWS

      04:25:50Preview
      • 3.01 Learning Objective
        00:32
      • 3.02 AWS Overview
        09:04
      • 3.03 Demo Setting Up AWS Account
        04:03
      • 3.04 Gartner Research
        01:59
      • 3.05 Cloud Architecture Design Principles
        04:34
      • 3.06 Well Architected Framework
        05:38
      • 3.07 Operational Excellence
        04:27
      • 3.08 Security
        05:34
      • 3.09 Reliability
        04:19
      • 3.10 Performance Efficiency
        04:11
      • 3.11 Cost Management
        03:17
      • 3.12 AZ and Regions
        10:07
      • 3.13 CloudFront Infrastructure
        03:01
      • 3.14 Edge Locations
        02:56
      • 3.15 Networking and Content Delivery Services
        00:54
      • 3.16 Virtual Private Cloud(VPC)
        15:26
      • 3.17 VPC Peering
        02:37
      • 3.18 VPC End Points
        01:18
      • 3.19 Domain Name System(DNS)
        01:47
      • 3.20 CDN
        04:15
      • 3.21 CloudFront Infrastructure
        02:36
      • 3.22 Elastic Load Balancer
        03:50
      • 3.23 ELB Types
        06:35
      • 3.24 Compute Services
        08:46
      • 3.25 What is EC2
        03:28
      • 3.26 EC2 Benefits and Features
        08:13
      • 3.27 EC2 Creation Steps
        02:42
      • 3.28 Amazon Machine Image(AMI)
        04:08
      • 3.29 EC2 Instance Types
        05:26
      • 3.30 EC2 Creation Steps(Continue)
        05:43
      • 3.31 Demo Launching EC2 Instance using AWS Console
        13:04
      • 3.32 AWS CLI
        01:40
      • 3.33 Demo Launch an EC2 Instance using AWS Command Line Interface
        11:44
      • 3.34 EC2 Auto Scaling
        05:02
      • 3.35 Elastic Beanstalk
        07:06
      • 3.36 AWS Storage Services
        02:39
      • 3.37 Amazon S3(Simple Storage Service)
        07:42
      • 3.38 S3 Policies
        02:47
      • 3.39 Demo Create S3 Bucket and Bucket Policies
        08:10
      • 3.40 Database Services
        01:44
      • 3.41 AWS Databases
        03:41
      • 3.42 Database Types
        02:47
      • 3.43 Relational Database Service(RDS)
        05:08
      • 3.44 Database Connection
        04:01
      • 3.45 Demo RDS Usage
        12:19
      • 3.46 Introduction to DynamoDB
        02:06
      • 3.47 Demo Managing AWS DynamoDB
        05:28
      • 3.48 Resource Groups and Tagging
        07:35
      • 3.49 Case Study
        04:32
      • 3.50 Demo Use of VPC and Subnet
        13:41
      • 3.51 Summary
        01:28

    • Lesson 04: AWS Security and Compliance

      01:49:32Preview
      • 4.01 Learning Objective
        00:37
      • 4.02 Security Aspects
        08:21
      • 4.03 Security and Compliance Principles
        07:56
      • 4.04 AWS Access Control and IAM
        10:10
      • 4.05 IAM Working
        04:38
      • 4.06 Security BestPractices Part 1
        08:36
      • 4.07 Security Best Practices Part 2
        07:50
      • 4.08 Web Application Firewall
        09:56
      • 4.09 AWS Shield
        06:17
      • 4.10 Firewall Manager
        03:38
      • 4.11 AWS CloudTrail
        05:42
      • 4.12 AWS CloudWatch
        07:29
      • 4.13 AWS Config Service
        03:46
      • 4.14 CloudWatch vs CloudTrail
        00:59
      • 4.15 AWS Config vs CloudTrail
        00:40
      • 4.16 AWS Inspector
        04:25
      • 4.17 AWS Trusted Advisor
        04:59
      • 4.18 Demo Managing IAM Service
        12:54
      • 4.19 Summary
        00:39

    • Lesson 05: AWS Costing and Support Service

      38:50Preview
      • 5.01 Learning Objective
        00:34
      • 5.02 Understand AWS Pricing
        05:22
      • 5.03 AWS Pricing Models
        07:37
      • 5.04 Cost Calculator
        07:51
      • 5.05 Support Plans
        06:44
      • 5.06 Marketplace
        05:17
      • 5.07 Demo Setup Billing Budget and Check Invoice
        04:01
      • 5.08 Summary
        01:24
  • Free Course

  • Business Analytics with Excel

    Preview

    • Lesson 01: Course Introduction

      05:12Preview
      • 1.01 Introduction
        03:12
      • 1.02 What Will You Learn
        02:00

    • Lesson 02: Introduction to Business Analytics

      09:48Preview
      • 2.01 Introduction to Business Analytics
        02:04
      • 2.02 Learning Objectives
        00:45
      • 2.03 Types of Analytics
        02:14
      • 2.04 Areas of Analytics
        03:57
      • 2.05 Quick Recap
        00:48
      • Knowledge Check

    • Lesson 03: Data Cleaning and Preparation

      09:53
      • 3.01 Learning Objectives
        00:50
      • 3.02 Sort and filter
        01:29
      • 3.03 Group by and subtotal
        02:10
      • 3.04 Text to Column
        01:13
      • 3.05 Removing Duplicates
        02:07
      • 3.06 Data Validation
        01:31
      • 3.07 Quick Recap
        00:33
      • Knowledge Check

    • Lesson 04: Formatting, Conditional Formatting, and Important Functions

      36:05Preview
      • 4.01 Introduction
        01:54
      • 4.02 Learning Objectives
        00:49
      • 4.03 Introduction to Custom Formatting
        00:57
      • 4.04 Custom Formatting: Example
        02:29
      • 4.05 Introduction to Conditional Formatting
        00:49
      • 4.06 Conditional Formatting: Example One
        01:38
      • 4.07 Conditional Formatting: Example Two
        02:04
      • 4.08 Conditional Formatting: Example Three
        01:20
      • 4.09 Logical Functions
        03:37
      • 4.10 Lookup and reference functions
        00:30
      • 4.11 VLOOKUP Function
        02:14
      • 4.12 HLOOKUP Function
        01:28
      • 4.13 MATCH Function
        02:57
      • 4.14 INDEX and OFFSET Function
        03:26
      • 4.15 Statistical functions
        00:27
      • 4.16 SUMIFS Function
        01:34
      • 4.17 COUNTIFS Function
        01:11
      • 4.18 PERCENTILE and QUARTILE
        01:55
      • 4.19 STDEV, MEDIAN and RANK Function
        02:38
      • 4.20 Exercise: Introduction
        00:34
      • 4.21 Exercise
        00:54
      • 4.22 Quick Recap
        00:40
      • Knowledge Check

    • Lesson 05: Spotlight

      02:12
      • Spotlight
        02:12

    • Lesson 06: Analyzing Data with Pivot Tables

      20:57Preview
      • 6.01 Introduction
        01:20
      • 6.02 Learning Objectives
        00:42
      • 6.03 Introduction to Pivot tables
        01:09
      • 6.04 Creating a Pivot Table
        02:33
      • 6.05 Grouping in Pivot tables
        00:24
      • 6.06 Grouping in Pivot Table: Example One
        01:55
      • 6.07 Grouping in Pivot Table: Example Two
        01:57
      • 6.08 Custom Calculation
        01:10
      • 6.09 Calculated Field and Calculated Item
        00:27
      • 6.10 Calculated Field Example
        01:26
      • 6.11 Calculated Item Example
        02:07
      • 6.12 Slicer introduction
        00:42
      • 6.13 Creating a Slicer
        01:26
      • 6.14 Exercise Introduction
        00:57
      • 6.15 Exercise
        02:00
      • 6.16 Quick Recap
        00:42
      • Knowledge Check

    • Lesson 07: Dashboarding

      44:40Preview
      • 7.01 Introduction
        01:14
      • 7.02 Learning Objectives
        00:39
      • 7.03 What is a Dashboard
        00:45
      • 7.04 Principles of a Great Dashboard Design
        02:09
      • 7.05 How to Create Charts in Excel
        02:35
      • 7.06 Chart Formatting
        01:27
      • 7.07 Thermometer Chart
        04:01
      • 7.08 Pareto Chart
        02:51
      • 7.09 Speedometer chart
        00:55
      • 7.10 Create a Speedometer Chart
        03:26
      • 7.11 Stacked Column Chart
        01:27
      • 7.12 Funnel chart
        01:09
      • 7.13 Pivot Chart
        02:22
      • 7.14 Form Controls in Excel
        01:19
      • 7.15 Interactive Dashboard with Form Control
        03:48
      • 7.16 Chart with Checkbox
        04:57
      • 7.17 Chart With Combobox
        00:31
      • 7.18 Chart With Scrollbar
        00:38
      • 7.19 Interactive Chart
        04:20
      • 7.20 Exercise: Introduction
        00:51
      • 7.21 Exercise One
        01:18
      • 7.22 Exercise Two
        01:14
      • 7.23 Quick Recap
        00:44
      • Knowledge Check

    • Lesson 08: Business Analytics With Excel

      21:01Preview
      • 8.01 Introduction
        01:52
      • 8.02 Learning Objectives
        00:37
      • 8.03 Histogram
        05:03
      • 8.04 Solver Add in
        04:28
      • 8.05 Goal Seek
        02:47
      • 8.06 Data Table
        01:47
      • 8.07 Descriptive Statistics
        01:30
      • 8.08 Exercise: Introduction
        00:53
      • 8.09 Excercise
        01:18
      • 8.10 Quick Recap
        00:46
      • Knowledge Check

    • Lesson 09: Spotlight

      01:59
      • Spotlight
        01:59

    • Lesson 10: Data Analysis Using Statistics

      40:18Preview
      • 10.01 Introduction
        01:53
      • 10.02 Learning Objectives
        00:40
      • 10.03 Moving Average
        02:32
      • 10.04 Hypothesis Testing
        03:54
      • 10.05 ANOVA
        02:32
      • 10.06 Covariance
        01:57
      • 10.07 Correlation
        03:44
      • 10.08 Regression
        05:08
      • 10.09 Multiple Linear Regression
        03:36
      • 10.10 Logistic Regression
        02:32
      • 10.11 Normal Distribution
        06:13
      • 10.12 Exercise One: Introduction
        00:34
      • 10.13 Exercise One
        01:12
      • 10.14 Exercise Two: Introduction
        00:22
      • 10.15 Exercise Two
        01:11
      • 10.16 Exercise Three: Introduction
        00:26
      • 10.17 Exercise Three
        00:48
      • 10.18 Quick Recap
        01:04
      • Knowledge Check

    • Lesson 11: Using Macros for Analytics

      07:22Preview
      • 11.01 Learning Objectives
        00:35
      • 11.02 Using Macros for Analytics
        01:17
      • 11.03 Mean of Data Using Macros
        00:46
      • 11.04 5 Point Summary Using Macros
        01:50
      • 11.05 Correlation Coefficient Using Macros
        01:09
      • 11.06 Removing Duplicates Using Macros
        01:00
      • 11.07 Quick Recap
        00:45
      • Knowledge Check

    • Lesson 12: Spotlight

      02:12
      • Spotlight
        02:12
  • Free Course

  • Introduction to Artificial Intelligence

    Preview

    • Lesson 00 - Course Introduction

      03:09Preview
      • Introduction
        03:09

    • Lesson 01 - Decoding Artificial Intelligence

      21:09Preview
      • 01 Decoding Artificial Intelligence
        00:19
      • 02 Meaning, Scope, and Stages Of Artificial Intelligence
        00:46
      • 03 Three Stages of Artificial Intelligence
        02:19
      • 04 Applications of Artificial Intelligence
        01:06
      • 05 Image Recognition
        01:26
      • 06 Applications of Artificial Intelligence - Examples
        01:06
      • 07 Effects of Artificial Intelligence on Society
        03:54
      • 08 Supervises Learning for Telemedicine
        03:10
      • 09 Solves Complex Social Problems
        03:17
      • 10 Benefits Multiple Industries
        02:39
      • 11 Key Takeaways
        01:07
      • Knowledge Check

    • Lesson 02 - Fundamentals of Machine Learning and Deep Learning

      31:00Preview
      • 01 Fundamentals Of Machine Learning and Deep Learning
        00:50
      • 02 Meaning of Machine Learning
        02:22
      • 03 Relationship between Machine Learning and Statistical Analysis
        01:31
      • 04 Process of Machine Learning
        01:32
      • 05 Types of Machine Learning
        01:34
      • 06 Meaning of Unsupervised Learning
        01:24
      • 07 Meaning of Semi-supervised Learning
        01:59
      • 08 Algorithms of Machine Learning
        01:00
      • 09 Regression
        03:12
      • 10 Naive Bayes
        01:09
      • 11 Naive Bayes Classification
        02:45
      • 12 Machine Learning Algorithms
        02:22
      • 13 Deep Learning
        02:45
      • 14 Artificial Neural Network Definition
        01:46
      • 15 Definition of Perceptron
        01:18
      • 16 Online and Batch Learning
        02:17
      • 17 Key Takeaways
        01:14
      • Knowledge Check

    • Lesson 03 - Machine Learning Workflow

      14:52Preview
      • 01 Learning Objective
        00:28
      • 02 Machine Learning Workflow
        01:06
      • 03 Get more data
        00:41
      • 04 Ask a Sharp Question
        02:07
      • 05 Add Data to the Table
        03:20
      • 06 Check for Quality
        01:15
      • 07 Transform Features
        02:41
      • 08 Answer the Questions
        01:49
      • 09 Use the Answer
        00:31
      • 11 Key takeaways
        00:54
      • Knowledge Check

    • Lesson 04 - Performance Metrics

      19:39Preview
      • 01 Performance Metrics
        00:31
      • 02 Need For Performance Metrics
        01:10
      • 03 Key Methods Of Performance Metrics
        00:53
      • 04 Confusion Matrix Example
        01:15
      • 05 Terms Of Confusion Matrix
        01:53
      • 06 Minimize False Cases
        01:37
      • 07 Minimize False Positive Example
        01:07
      • 08 Accuracy
        01:42
      • 09 Precision
        01:13
      • 10 Recall Or Sensitivity
        02:32
      • 11 Specificity
        01:36
      • 12 F1 Score
        03:01
      • 13 Key takeaways
        01:09
      • Knowledge Check
  • Free Course

  • Introduction to Robotic Process Automation (RPA)

    Preview

    • Lesson 01: Course Introduction

      01:55Preview
      • 1.1 Course Introduction
        01:55

    • Lesson 02: Robotic Process Automation

      09:10Preview
      • 2.1 Robotic Process Automation
        09:10

    • Lesson 03: How RPA works

      07:40Preview
      • 3.1 How RPA works
        07:40

    • Lesson 04: ROI-Building a business case

      06:21
      • 4.1 ROI-Building a business case
        06:21

    • Lesson 05: RPA Implementation in Enterprise

      17:59
      • 5.1 RPA Implementation in Enterprise
        17:59

    • Lesson 06: List of RPA Tools and Selection Checklist

      05:42Preview
      • 6.1 List of RPA Tools and Selection Checklist
        05:42

    • Lesson 07: Case study on Henn na hotel

      02:56
      • 7.1 Case study on Henn na hotel
        02:56
  • Free Course

  • Introduction to Cyber Security

    Preview

    • Lesson 1 - Course Introduction

      03:09Preview
      • 0.1 Course Introduction
        03:09

    • Lesson 2 - Cybersecurity Fundamentals

      46:48Preview
      • 1.1 Introduction
        00:40
      • 1.2 Fundamentals of Cybersecurity
        10:47
      • 1.3 Threat Actors, Attacks, and Mitigation
        12:17
      • 1.4 Security Policies and Procedures
        04:18
      • 1.5 Cybersecurity Mitigation Methods
        17:45
      • 1.6 Key Takeaways
        01:01

    • Lesson 3 - Enterprise Architecture and Components

      35:00Preview
      • 2.1 Introduction
        00:42
      • 2.2 Secure Architecture
        07:44
      • 2.3 Wireless Networks
        09:47
      • 2.4 Network Security Controls
        05:13
      • 2.5 Cloud, Virtualization, BYOD, and IOT Security
        07:13
      • 2.6 Security Testing
        03:17
      • 2.7 Key Takeaways
        01:04

    • Lesson 4 - Information System Governance and Risk Assessment

      23:54Preview
      • 3.1 Introduction
        00:33
      • 3.2 Information Security Governance
        05:35
      • 3.3 Risk Management
        06:24
      • 3.4 Information Security Programs
        10:43
      • 3.5 Key Takeaways
        00:39

    • Lesson 5 - Incident Management

      16:34Preview
      • 4.1 Introduction
        00:35
      • 4.2 Developing an Incident Management and Response System
        05:29
      • 4.3 Digital Forensics
        04:46
      • 4.4 Business Continuity and Disaster Recovery
        05:10
      • 4.5 Key Takeaways
        00:34

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Skills Covered

  • Application of SAFe
  • Execute Agile Release Trains
  • Coordinate value streams
  • Manage LeanAgile portfolio
  • Configure the framework
  • Unlock intrinsic motivation
  • Support LeanAgile

Benefits

This leading SAFe Agilist certification training in Pasadena helps you become a major stakeholder in your organization’s success. The SAFe Agilist certification course in Pasadena trains you how to execute and deliver value through Agile Release Trains, and how to lead a Lean-Agile transformation. That’s why the certification is so valued.

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    Source: Glassdoor
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SAFe Agilist Exam & Certification

Leading SAFe Agilist

  • What are the prerequisites for the SAFe Agilist Certification Training in Pasadena?

    Of course, all are welcome to attend the SAFe Agilist certification training in Pasadena, regardless of experience. However, these prerequisites are strongly recommended for anyone intending to take the SA certification exam.

    • A minimum of five years experience in software development, business analysis, testing, product or project management
    • Basic experience with Scrum

  • How do I get certified as a SAFe Agilist?

    These are the steps in the certification process:

    • Step one: Attend the SAFe Agilist certification training in Pasadena course
    • Step two: Pass the SAFe Agilist online test presented by Scaled Agile
    • Step three: Correctly answer at least 34 out of the exam’s 45 questions (in other words, a 75% passing score)
    • Once you pass the exam, you will need to submit a license agreement to the Scrum Alliance for acceptance, and a membership profile must be completed

  • How many attempts do I have to pass the SAFe exam?

    After completing the SAFe Agilist certification training in Pasadena, you have one attempt to pass the exam.

  • What will I get in SAFe Certification Kit?

    Learners who complete the SAFe Agilist certification course in Pasadena and pass the certification exam get:

    • Their SAFe Agilist Certificate
    • A SAFe 4 Agilist digital badge to highlight your accomplishment
    • A one-year certified membership as a SAFe Agilist, including access to the SA Community of Practice
    • A SAFe Agilist certification usage guide, complete with SA certification marks
    • Access to a number of learning resources to support you in your SAFe journey

  • How many questions are there in the SAFe certification exam?

    There are a total of 45 multiple choice questions.
     

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    Sushil Rapatwar

    London

    It was very flexible which suited my time and other requirements. The staff was fantastic and accommodating, helping to explain things, and following up regularly. They were responsive, whether it be through phone or email. The course content was also excellent, detailed easy to understand.

  • Eli Lattouf

    Eli Lattouf

    Montreal

    It was a positive and beneficial journey with Karthik (the mentor) and the Simplilearn team. From the beginning to the last minute, they were there when I needed them. Thank you so much for this fantastic experience. All the best.

  • Jithin Khurana

    Jithin Khurana

    Bangalore

    Simplilearn is a fantastic platform to learn new technologies while being employed. The course content is excellent. After getting certified, I was able to change my job role and grab a 30% salary hike.

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SAFe Agilist Training FAQs

  • What is SAFe Agile certification?

    The SAFe Agile certification is your first step towards becoming a Lean-Agile leader. This credential demonstrates that you understand the Lean-Agile mindset, know how to enable agile product delivery, and implement lean portfolio management in a DevOps environment. 

  • What does a certified SAFe Agilist do?

    A certified SAFe Agilist (SA) is a professional who applies SAFe to scale Lean and Agile development in the enterprise. They plan and execute program increments successfully, execute and release values through Agile Release Trains (ARTs), and build an Agile portfolio with Lean-Agile budgeting.

  • Why should you take this SAFe Agilist certification?

    Professionals should consider earning their SAFe Agilist certification because it enables them to build upon their current agile product development efforts. Certification holders will know how to lead a Lean-Agile business transformation and drive an efficient organization that continues to deliver value to stakeholders and end-users with the shortest and most sustainable time-to-market.

  • How do I enroll for the SAFe Agile classroom training in Pasadena?

    You can enroll for this classroom training online. Payments can be made using any of the following options and a receipt will be issued to the candidate automatically via email.
    1. Visa Debit/Credit Card
    2. American Express and Diners Club Card
    3. Master Card, Or
    4. PayPal

  • Where will the training be held in Pasadena?

    The venue is finalized few weeks prior to the training and you will be informed about it via email. You can get in touch with our 24/7 Support Team for more details. Write us at Help & Support. If you are looking for an instant support, you can chat with us too.

  • Who should pursue this SAFe Agile certification in Pasadena?

    The SAFe® Agilist certification is designed for professionals who want to lead a Lean-Agile enterprise and gain expertise in the framework at a strategic level. The certification is also suitable for professionals working as project managers, team leads, portfolio managers, business analysts, change agents, and product managers.

  • What is the demand for a SAFe Agilist Certification in Pasadena?

    The Scaled Agile Framework is the world’s leading framework for enterprise agility. At present, the framework is in its 5th iteration and has been adopted by over 20,000 organizations across the world. There are more than 700,000 SAFe-trained professionals and many of them work in 70 percent of U.S. Fortune 100 enterprises.

  • How to get SAFe agile certification in Pasadena?

    Next, they need to enroll in the Leading SAFe course offered by Scaled Agile. Finally, they need to pass the SAFe® 4 Agilist Exam – or – SAFe® 5 Agilist Exam.

  • What are the prerequisites for this SAFe Agile Certification course in Pasadena?

    Candidates who want to achieve the SAFe agile certification should have at least five years of experience in software development, project management, testing, or business analysis. Some experience in Scrum is also helpful.

  • What is the salary of a SAFe Agilist in Pasadena?

    SAFe is one of the most popular agile frameworks. A professional and skilled Safe Agilist has a good salary package. In the USA, the salary package of a Safe Agilist is 52184 dollars. Different companies offer salary packages based on the candidate's skills and experience. Individuals can make a good amount of money after completing safe Agilist certification training in Pasadena.

  • What are the major companies hiring for Safe Agilist?

    A Safe Agilist improves productivity, employee satisfaction, quality, and time to market by applying Agile, Lean, and Product Development principles. Thus, they have a high demand. The companies looking for Safe Agilist are Takeda, Capgemini, Edward Jones, Alten, and CSL Behring. Usually, the companies prefer individuals who have completed safe Agilist certification training in Pasadena.

  • What are the major industries in Pasadena?

    Pasadena is home to a wide range of businesses. The major industries include Engineering, healthcare, Finance, and Academics. All the industries are actively looking for professionals with safe Agilist certification training in Pasadena.

  • How to become a Safe Agilist in Pasadena?

    A profile of Safe Agilist is quite reasonable that also offers you to earn more. Working on different factors will surely help you in becoming a good safe agilist. Following are some points that you must consider if you want to be a skilled Safe Agilist:

    • Learn strategic management skills.
    • Learn to work with the team.
    • Work on your communication skills.
    • Learn how to make the right decision based on the different factors.
    • Keep yourself updated.
    • Apply for safe Agilist certification training Pasadena

  • How to find safe Agilist certification training in Pasadena?

    A safe agilist plays a vital role in the companies. Different companies prefer candidates who have completed safe Agilist certification training in Pasadena. However, finding the best course could be difficult.

    The points mentioned above could be helpful when looking for a safe agilist:

    • Network with people who have opted for the same course or training.
    • Take help from experts and ask for their opinions.
    • Use the internet to find more about the course.
    • Make a list of all the institutes that offer them.
    • Always consider the course cost.
    • Go through institutes' websites to know more about the training or course.

  • Who will be the trainer for the SAFe Agilist classroom training?

    Highly qualified and certified instructors with 20+ years of experience deliver the classroom training.

  • Do you provide transportation and refreshments along with the training?

    We do not provide transportation but refreshments are included along with the training.

  • Can I change the city, place, and date after enrolling for any classroom training?

    Yes, you can change the city, place, and date for any classroom training. However, a rescheduling fee is charged. For more information, please go through our Rescheduling Policy.

  • Can I cancel my enrollment? Do I get a refund?

    Yes, you can cancel your enrollment. We provide a complete refund after deducting the administration fee. To know more please go through our Refund Policy.

  • Do you provide a Money Back Guarantee for the training programs?

    Yes. We do offer a money-back guarantee for many of our training programs. You can refer to the Refund Policy and raise refund requests via our Help and Support portal.

  • Do you provide any course completion certificate?

    Yes, we offer a course completion certificate after you successfully complete the training program.

  • Do you provide any group discounts for classroom training programs?

    Yes, we offer group discounts for our online training programs. Get in touch with us. Drop us a Query, Request a Callback, or Live Chat with us to find out more about our group discount packages.

  • How can I learn more about this SAFe agile training program?

    You can get in touch with our customer support team or fill the Contact Us form to know more about this SAFe agile course.

  • What are the objectives of this SAFe Agilist certification training?

    Simplilearn’s SAFe Agilist training helps you grasp the importance of mastering business agility to thrive in the digital world and learn how to lead a Lean-Agile enterprise by leveraging the Scaled Agile Framework.

Leading SAFe® 5.1 Agile Certification Training in Pasadena

Pasadena, also known as the City of Roses, is 18 km northeast of downtown Los Angeles. The city covers an area of 59.84 km square with a population of 1.41 lakhs (2019).

When we talk about the weather, the city has a Mediterranean climate. The summers are hotter, and winters are slightly chilly. The average temperature of the city is 17.7 degrees Celsius.

The average income of a household is around 41,268 dollars. In 2017, the GDP per capita amounted to 67,763 dollars.

Pasadena is one of the beautiful cities in California, which is famous for its Rose Bowl game and New Year's Day Rose Parade. Following are some top-rated attractions of the city:

  • Old Pasadena ( reflects city's past )
  • The Huntington Library, Art Museum, and Botanical Gardens ( you will find something that catches your interest)
  • Rose Bowl Stadium 
  • Norton Simon Museum

The places mentioned above are worth visiting.

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