PL-300 Microsoft Power BI Certification Training with Exam

834 Learners

Power BI certification training will help you get the most out of Power BI, enabling you to solve business problems and improve operations. This course helps you master the development of dashboards from published reports, discover better insight from the data, & create practical recipes on the various tasks that you can do with Microsoft Power BI.

Course Overview

Course Curriculum

Course Content

PL-300 Microsoft Power BI Certification Training with Exam
Preview
- Lesson 01: Course Introduction
  Preview
  - 1.01 Welcome to Power BI Course
    00:23
  - 1.02 Skills Covered
    01:19
  - 1.03 Business Intelligence and Data Analytics High level Overview
    05:53
  - 1.04 Introduction to Power BI
    02:04
  - 1.05 Different Power BI Offerings
    02:44
  - 1.06 Installing Power BI
    02:44
- Lesson 02: Get Data From Different Data Sources
  Preview
  - 2.01 Identify and Connect to a Data Source
    01:55
  - 2.02 Change Data Source Settings
    00:41
  - 2.03 Select a Shared Dataset
    01:23
  - 2.04 Select a Storage Mode
    01:08
  - 2.05 Choose an Appropriate Query Type
    02:04
  - 2.06 Use Microsoft Dataverse
    01:22
  - 2.07 Use Parameters
    02:13
  - 2.08 Use or Create a PBIDS file
    01:18
- Lesson 03: Profile The Data
  - 3.01 Identify Data Anomalies
    01:29
  - 3.02 Examine Data Structures
    01:29
  - 3.03 Interrogate Column Properties
    01:42
  - 3.04 Interrogate Data Statistics
    02:40
- Lesson 04: Clean Transform and Load the Data
  Preview
  - 4.01 Resolve Inconsistencies Unexpected or Null Values and Data Quality Issues
    03:51
  - 4.02 Apply User friendly Value Replacements
    02:10
  - 4.03 Evaluate and Transform Column Data Types
    02:19
  - 4.04 Apply Data Shape Transformations to Table Structures
    02:57
  - 4.05 Combine Queries
    01:13
  - 4.06 Apply User friendly Naming Conventions to Columns and Queries
    01:51
  - 4.07 Leverage Advanced Editor to Modify Power Query M code
    01:43
- Lesson 05: Design a Data Model
  - 5.01 Define the Tables
    03:01
  - 5.02 Configure Table and Column Properties
    03:22
  - 5.03 Flatten out a Parent child Hierarchy
    03:33
  - 5.04 Define Role playing Dimensions
    01:34
  - 5.05 Create a Common Date Table
    01:51
- Lesson 06: Develop a Data Model
  Preview
  - 6.01 Apply Cross filter Direction and Security Filtering
    02:36
  - 6.02 Create Calculated Tables
    01:35
  - 6.03 Create Calculated Columns
    01:16
  - 6.04 Implement Row level Security Roles
    01:50
  - 6.05 Set up the Q and A Feature
    02:10
- Lesson 07: Optimize Model Performance
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  - 7.01 Remove Unnecessary Rows and Columns
    01:01
  - 7.02 Identify Poorly Performing Measures Relationships and Visuals
    03:00
  - 7.03 Improve Cardinality Levels
    02:40
  - 7.04 Optimize DirectQuery Models
    01:26
  - 7.05 Create and Manage Aggregations
    01:56
  - 7.06 Use Query Diagnostics
    02:34
- Lesson 08: Create Reports
  Preview
  - 8.01 Add Visualization Items to Reports
    00:36
  - 8.02 Choose an Appropriate Visualization Type
    04:34
  - 8.03 Format and Configure Visualizations
    02:49
  - 8.04 Apply Slicing and Filtering
    02:26
  - 8.05 Add an R or Python Visual
    01:58
- Lesson 09: Create Dashboards
  Preview
  - 9.01 Set Mobile View
    01:24
  - 9.02 Manage Tiles on a Dashboard
    03:26
  - 9.03 Configure Data Alerts
    02:17
  - 9.04 Use the Q and A Feature
    01:27
  - 9.05 Add a Dashboard Theme
    01:59
  - 9.06 Pin a Live Report Page to a Dashboard
    01:21
- Lesson 10: Enhance Reports to Expose Insights
  Preview
  - 10.01 Perform Top N Analysis
    01:05
  - 10.02 Explore Statistical Summary
    01:31
  - 10.03 Use the Q and A Visual
    01:28
  - 10.04 Add a Quick Insights Result to a Report
    02:20
  - 10.05 Use the Play Axis Feature of a Visualization
    00:48
  - 10.06 Personalize Visuals
    01:33
- Lesson 11: Perform Advanced Analysis
  Preview
  - 11.01 Identify Outliers
    01:17
  - 11.02 Conduct Time Series Analysis
    00:41
  - 11.03 Use Groupings and Binnings
    01:59
  - 11.04 Use the Key Influencers to Explore Dimensional Variances
    00:58
  - 11.05 Use the Decomposition Tree Visual to Break Down a Measure
    01:16
  - 11.06 Apply AI Insights
    01:27
- Lesson 12: Manage Semantic Models
  Preview
  - 12.01 Configure a Dataset Scheduled Refresh
    01:59
  - 12.02 Configure Row level Security Group Membership
    01:54
  - 12.03 Configure Incremental Refresh Settings
    03:03
  - 12.04 Promote or Certify Power BI Datasets
    01:50

Why Join this Program

Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts