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About the program

  • About the Business Analytics Expert Masters Program

    The Business Analytics Expert Masters Program is designed to impart in-depth training in the concepts and techniques of data analytics while building a foundation in business intelligence. The learning path is designed by industry experts and is geared towards helping participants learn various analytics techniques and algorithms, using languages like SAS, R, and Python. Your foundation in business intelligence will be built using tools like Power BI, and Tableau, making you job-ready for the ultimate position in the analytics industry.

    The program provides access to high-quality eLearning content, simulation exams, a community moderated by experts, and other resources that ensure you follow the optimal path to your dream role of a business analyst with strong analytics and business visualization skills.

    The learning path begins with training in business analytics using Excel and moves on to the most in-demand analytics technologies: R or SAS, depending on the participant’s requirements. Following the solid training in analytics techniques, participants will also gain solid skills in the art of business visualization using Tableau Desktop 9. We also cover Python as an elective to give participants an additional skill that will help you to become irreplaceable in the market.

    The Masters program teaches implementation of various data science concepts such as data exploration, visualization, and hypothesis testing. Special focus has been placed on predictive analytics like regression, clustering, and smoothening techniques. The entire learning experience is tied together with demos and a final project. After completing all aspects of the training, you will be well-trained to take up the role of business analyst in analytics team of your target organization.

    The course is a package of more than 90 hours of instructor-led training and 150+ hours of eLearning. Once you meet the requirements of the program, you will receive a Masters certificate from Simplilearn stating that you have acquired the skillset of a Business Analytics Expert.

  • Why be a Business Analyst?

    Data is the new oil for the Digital economy. Analytics professionals are in demand in the current market and the demand is just going to increase. McKinsey reports that the skill gap is going increase by 50%-60% by 2018.  Here are some data points to show the high demand for analytics professionals:

    According to marketsandmarkets.com, the advanced analytics market will be worth $29.53 Billion by 2019

    Randstad reports that pay hikes in the analytics industry are 50% more than IT

    A McKinsey study predicts that by 2018, the US could face a shortage of 140,000 to 190,000 people with deep analytical skills.

  • Who can be a Business Analyst?

    Being an analytics professional is the perfect amalgam of experience, data science knowledge, and the correct tools/ technologies. It is a good career choice for both newbies and experienced professionals who have industry knowledge. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue this path. We would recommend this path strongly for professionals in the following roles:
    • IT professionals
    • Banking and Finance professionals
    • Marketing Managers
    • Supply Chain Network Managers
    • Freshers into data analytics domain
    • Students in UG/ PG Analytics Programs

  • How do I earn the Masters Program certificate?

    Once you complete the following requirements, you will be eligible to receive the Masters program certificate that will validate your acquisition of an analyst professional’s skillset.
     
    Course Course Completion Certificate Simulation Exam Project Certificate
    Business Analytics with Excel Required Score > 75% Required
    Data Science training with R Programming Certification OR Data Science training with SAS Training Required Score > 75% Required
    Tableau Desktop 9 Qualified Associate Required Score > 75% Required
    Tableau Server 10 Qualified Associate Not required - Not required
    Data Science with Python Not required - Not required

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Course Advisor

  • Alvaro Fuentes Founder and Data Scientist at Quant Company

    Alvaro is a Data Scientist who founded Quant Company and has also worked as a lead Economic analyst in the Central Bank of Guatemala. He is a M.S. in Quantitative Economics and Applied Mathematics and is actively involved in consulting and training in the data science space.

  • Paul Sharkov Data Scientist at BMO Financial Group, Member of SAS Canada Community

    Paul is lead SAS Data Scientist at Bank of Montreal. As a SAS Certified Predictive Modeler, SAS Statistical Business Analyst, and SAS Certified Advanced Programmer, Paul is passionate about sharing his knowledge on how data science can support data-driven business decisions.

  • Ronald van Loon
    Ronald van Loon Top 10 Big Data & Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian, and he regularly speaks at renowned events.

  • Simon Tavasoli Analytics Lead at Cancer Care Ontario

    Simon is a Data Scientist with 12 years of experience in Healthcare analytics. He is a Masters in Biostatistics from the University of Western Ontario. Simon is passionate about teaching data science and has a number of journal publications in preventive medicine analytics.

Learning path

Course 1
Business Analytics Certification Training with Excel

Business Analytics With Excel

Business Analytics with excel training has been designed to help initiate you to the world of analytics. For this we use the most commonly used analytics tool i.e. M crosoft Excel. The training will equip you with all the concepts and hard skills required to kick start your analytics career. If you already have some experience in the IT or any core industry, this course will quickly teach you how to understand data and take data driven decisions relative to your domain using Microsoft excel. For a new-comer to the analytics field, this course provides the best required foundation. The training also delves into statistical concepts which are important to derive the best insights from available data and to present the same using executive level dashboards. Finally we introduce Power BI, which is the latest and the best tool provided by Microsoft for analytics and data visualization. ...Know More Less
Course Content
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Course 2
Data Science Certification Training - R Programming

Data Science Certification Training - R Programming

The Data Science with R training course has been designed to impart an in-depth knowledge of the various data analytics techniques which can be performed using R. Th course is packed with real-life projects, case studies, and includes R CloudLabs for practice. ...Know More Less

Accredited By R

Classroom Schedule Course Content
Data Science with SAS Certification Training

Data Science With SAS Training

The data science with SAS certification training is designed to impart an in-depth knowledge of SAS programming language, SAS tools and various advanced analytics te hniques. The training provides a solid base for implementing these techniques. The course is packed with real-life projects and case studies to give a hands-on and practical experience to the participants. ...Know More Less
Classroom Schedule Course Content
Classroom Schedule
Class schedule All Batches
  • Feb 25 - Mar 19 Weekend classes 08:00 - 12:00 CST 8 sessions
    • Feb
    • Sat 25
    • Sun 26
    • Mar
    • Sat 04
    • Sun 05
    • Sat 11
    • Sun 12
    • Sat 18
    • Sun 19
  • Mar 03 - Mar 25 Weekday classes 21:30 - 01:30 CST 8 sessions
    • Mar
    • Fri 03
    • Sat 04
    • Fri 10
    • Sat 11
    • Fri 17
    • Sat 18
    • Fri 24
    • Sat 25
  • Mar 06 - Mar 17 Weekday classes 08:30 - 11:30 CST 10 sessions
    • Mar
    • Mon 06
    • Tue 07
    • Wed 08
    • Thu 09
    • Fri 10
    • Mon 13
    • Tue 14
    • Wed 15
    • Thu 16
    • Fri 17
  • Mar 17 - Apr 08 Weekday classes 22:30 - 02:30 CST 8 sessions
    • Mar
    • Fri 17
    • Sat 18
    • Fri 24
    • Sat 25
    • Fri 31
    • Apr
    • Sat 01
    • Fri 07
    • Sat 08
  • Mar 25 - Apr 16 Weekend classes 09:00 - 13:00 CST 8 sessions
    • Mar
    • Sat 25
    • Sun 26
    • Apr
    • Sat 01
    • Sun 02
    • Sat 08
    • Sun 09
    • Sat 15
    • Sun 16
  • Mar 31 - Apr 22 Weekday classes 22:30 - 02:30 CST 8 sessions
    • Mar
    • Fri 31
    • Apr
    • Sat 01
    • Fri 07
    • Sat 08
    • Fri 14
    • Sat 15
    • Fri 21
    • Sat 22
  • Apr 10 - Apr 21 Weekday classes 09:30 - 12:30 CST 10 sessions
    • Apr
    • Mon 10
    • Tue 11
    • Wed 12
    • Thu 13
    • Fri 14
    • Mon 17
    • Tue 18
    • Wed 19
    • Thu 20
    • Fri 21
  • Apr 21 - May 13 Weekday classes 22:30 - 02:30 CST 8 sessions
    • Apr
    • Fri 21
    • Sat 22
    • Fri 28
    • Sat 29
    • May
    • Fri 05
    • Sat 06
    • Fri 12
    • Sat 13
  • Apr 29 - May 21 Weekend classes 09:00 - 13:00 CST 8 sessions
    • Apr
    • Sat 29
    • Sun 30
    • May
    • Sat 06
    • Sun 07
    • Sat 13
    • Sun 14
    • Sat 20
    • Sun 21

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Data Science with SAS Certification Training

Data Science With SAS Training

The data science with SAS certification training is designed to impart an in-depth knowledge of SAS programming language, SAS tools and various advanced analytics te hniques. The training provides a solid base for implementing these techniques. The course is packed with real-life projects and case studies to give a hands-on and practical experience to the participants. ...Know More Less
Classroom Schedule Course Content
Classroom Schedule
Class schedule All Batches
  • Mar 11 - Apr 02 Weekend classes 08:00 - 12:00 CST 8 sessions
    • Mar
    • Sat 11
    • Sun 12
    • Sat 18
    • Sun 19
    • Sat 25
    • Sun 26
    • Apr
    • Sat 01
    • Sun 02
  • Apr 22 - May 14 Weekend classes 09:00 - 13:00 CST 8 sessions
    • Apr
    • Sat 22
    • Sun 23
    • Sat 29
    • Sun 30
    • May
    • Sat 06
    • Sun 07
    • Sat 13
    • Sun 14

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Course 3
Tableau Desktop 9 Qualified Associate Training Online

Tableau Desktop 9 Qualified Associate

Tableau Desktop 9 associate training provided by Simplilearn is to ensure you are ready to take up a job assignment requiring Tableau Desktop 9 expertise and to equi you to command an associate level expertise in Tableau Desktop 9 software with strong focus on Tableau Desktop 9 skills, such as visualisation building, analytics and dashboards. This course also ensures you are well-prepared to clear Tableau Desktop 9 Qualified Associate exam of Tableau. The course also contains 4 industry projects which will help you gain real world experience in Tableau Desktop 9 industry application. ...Know More Less

Accredited By Tableau

Classroom Schedule Course Content
Class schedule All Batches
  • Feb 25 - Mar 19 Weekend classes 08:00 - 12:00 CST 8 sessions
    • Feb
    • Sat 25
    • Sun 26
    • Mar
    • Sat 04
    • Sun 05
    • Sat 11
    • Sun 12
    • Sat 18
    • Sun 19
  • Mar 25 - Apr 16 Weekend classes 09:00 - 13:00 CST 8 sessions
    • Mar
    • Sat 25
    • Sun 26
    • Apr
    • Sat 01
    • Sun 02
    • Sat 08
    • Sun 09
    • Sat 15
    • Sun 16
  • Apr 22 - May 14 Weekend classes 09:00 - 13:00 CST 8 sessions
    • Apr
    • Sat 22
    • Sun 23
    • Sat 29
    • Sun 30
    • May
    • Sat 06
    • Sun 07
    • Sat 13
    • Sun 14

Download schedule

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Master Program Certificate
Electives
  • Data Science with PythonData Science with Python
  • Tableau Server 10 Qualified AssociateTableau Server 10 Qualified Associate

FAQs

  • What courses will be available for live instructor led online classes?

    The courses that will be available for live instructor-led online classes under this Masters course are:
     
    Srl No Course Name Monthly no. of online classes availability
    1 Data Science training with R Programming 4
    2 Data Science training with SAS Training 2
    3 Tableau Desktop 9 Qualified Associate 2
    4 Tableau Server 10 Qualified Associate 1
    5 Data Science training with Python 1

    So you get access to over 90+ live instructor-led online classes over the span of a year. The advantage of this is that you may come and revisit each and every course as you please. While you still get access to our batch session recordings you get the advantage of completing the entire learning path that empowers you to reach dream destination of becoming an all-around analytics professional.

  • How do I enroll in the Masters program?

    You can enroll for the program on our website and make an online payment using any of these options.
    • Visa Credit or Debit card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal
    Once the online payment is done, you will automatically receive a payment receipt and access information, via email.

  • What can I expect from the Masters program?

    • Access to e-learning content for all the courses included in the learning path
    • Access to exclusive forums, moderated by expert faculty and industry thought leaders
    • A Masters certification, on meeting the program requirements

  • Where and how can I access the e-learning content?

    Once you register and pay for the course, you get 24/7 access to the e-learning content on our website. We will also send an automated course purchase confirmation mail, which will guide you through the process.

  • I am not able to access the online course, whom do I contact for a solution?

    You could raise a request on our Help & Support forum, or chat with us to get an instant solution.

  • Do you provide a money-back guarantee?

    Yes. We provide a 7-day money-back guarantee for our Masters programs. You can raise your requests on our Help & Support forum.

  • Is the exam fee included with this course?

    No, it isn't. However, you will receive certificates once you successfully complete the courses and get the Masters program certificate once you meet all the program requirements.

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