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About the program

  • About the Data Scientist Masters Program

    The Data Scientist Masters Program has been designed keeping in mind the requirements of the new wave of demand for strong analytics professionals. It equips you with all the conceptual and technical skills required 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 Data Scientist.

    The course introduces the participant to business analytics using excel and then slowly transitions us to the most in-demand analytics technologies – R, SAS and Python– and 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 placed to take up the role of data scientist with the analytics team of your target organization.

    The course is a package of over 100+ hours of instructor led online classes and 200+ hours of e-learning. Once you meet the requirements of the program, you will receive a master’s certificate from Simplilearn stating that you have acquired the skillset of a Data Scientist.

  • Why be a data scientist?

    “Data Scientist” is the pinnacle rank in an analytics organization. Glassdoor has ranked Data Scientist first in the 25 Best Jobs for 2016. Needless to say, good data scientists are scarce and in great demand. As a data scientist you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
    There is a huge skill gap when it comes to Data Science. Companies are ramping up analytics teams, to have the ability to squeeze the maximum customer insight from data.
    • According to marketsandmarkets.com, the advanced analytics market will be worth $29.53 Billion by 2019
    • Wired.com points to a report by Glassdoor that the average salary of a data scientist is $118,709
    • Randstand reports that pay hikes in the analytics industry is 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 data scientist?

    Becoming a data scientist is the ultimate goal in the field of analytics. The role 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. A data scientist is a mandatory requirement in every industry and every function. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue the path of a data scientist.

    We would recommend this path strongly for professionals in the following roles:
    • IT professionals
    • Analytics Managers
    • Business Analysts
    • 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 Data Scientist's skillset.
     
    Course Course Completion Certificate Simulation Exam Project Certificate
    Data Scientist with R Programming Certification Required Score > 75% Required
    Data Scientist with SAS Training Required Score > 75% Required
    Big-Data and Hadoop Developer Required Score > 75% Required
    Business Analytics with Excel Not required - Not required
    Data Science with Python Not required - Not required

    Sample Certificate

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Course Advisor

  • 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.

  • Sina Jamshidi Big Data Lead at Bell Labs

    Sina has over 10 years of experience in the Technology field as a Big Data Architect at Bell Labs and a Platinum level trainer. Sina is a very passionate about building a Big Data education ecosystem and has been a contributor in a number of public and journal publications.

Learning path

Course 1
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
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 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
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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Course 3
Big Data Hadoop and Spark Developer Certification Training

Big Data Hadoop And Spark Developer

The Big Data Hadoop and Spark developer course has been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed ith real-life projects and case studies to be executed in the CloudLab. ...Know More Less

Accredited By Apache

Classroom Schedule Course Content
Class schedule All Batches
  • Mar 11 - Apr 09 Weekend classes 08:00 - 12:00 CST 10 sessions
    • Mar
    • Sat 11
    • Sun 12
    • Sat 18
    • Sun 19
    • Sat 25
    • Sun 26
    • Apr
    • Sat 01
    • Sun 02
    • Sat 08
    • Sun 09
  • Mar 13 - Mar 29 Weekday classes 09:30 - 12:30 CST 13 sessions
    • Mar
    • Mon 13
    • Tue 14
    • Wed 15
    • Thu 16
    • Fri 17
    • Mon 20
    • Tue 21
    • Wed 22
    • Thu 23
    • Fri 24
    • Mon 27
    • Tue 28
    • Wed 29
  • Mar 17 - Apr 15 Weekday classes 22:30 - 02:30 CST 10 sessions
    • Mar
    • Fri 17
    • Sat 18
    • Fri 24
    • Sat 25
    • Fri 31
    • Apr
    • Sat 01
    • Fri 07
    • Sat 08
    • Fri 14
    • Sat 15
  • Mar 25 - Apr 23 Weekend classes 09:00 - 13:00 CST 10 sessions
    • Mar
    • Sat 25
    • Sun 26
    • Apr
    • Sat 01
    • Sun 02
    • Sat 08
    • Sun 09
    • Sat 15
    • Sun 16
    • Sat 22
    • Sun 23
  • Apr 01 - Apr 30 Weekend classes 09:00 - 13:00 CST 10 sessions
    • Apr
    • Sat 01
    • Sun 02
    • Sat 08
    • Sun 09
    • Sat 15
    • Sun 16
    • Sat 22
    • Sun 23
    • Sat 29
    • Sun 30
  • Apr 03 - Apr 18 Weekday classes 09:30 - 12:30 CST 12 sessions
    • Apr
    • Mon 03
    • Tue 04
    • Wed 05
    • Thu 06
    • Fri 07
    • Mon 10
    • Tue 11
    • Wed 12
    • Thu 13
    • Fri 14
    • Mon 17
    • Tue 18
  • Apr 07 - May 06 Weekday classes 22:30 - 02:30 CST 10 sessions
    • Apr
    • Fri 07
    • Sat 08
    • Fri 14
    • Sat 15
    • Fri 21
    • Sat 22
    • Fri 28
    • Sat 29
    • May
    • Fri 05
    • Sat 06
  • Apr 16 - May 01 Weekday classes 19:30 - 22:30 CST 12 sessions
    • Apr
    • Sun 16
    • Mon 17
    • Tue 18
    • Wed 19
    • Thu 20
    • Sun 23
    • Mon 24
    • Tue 25
    • Wed 26
    • Thu 27
    • Sun 30
    • May
    • Mon 01
  • Apr 21 - May 20 Weekday classes 22:30 - 02:30 CST 10 sessions
    • Apr
    • Fri 21
    • Sat 22
    • Fri 28
    • Sat 29
    • May
    • Fri 05
    • Sat 06
    • Fri 12
    • Sat 13
    • Fri 19
    • Sat 20
  • Apr 29 - May 28 Weekend classes 09:00 - 13:00 CST 10 sessions
    • Apr
    • Sat 29
    • Sun 30
    • May
    • Sat 06
    • Sun 07
    • Sat 13
    • Sun 14
    • Sat 20
    • Sun 21
    • Sat 27
    • Sun 28

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Course Content
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Master Program Certificate
Electives
  • Business Analytics with ExcelBusiness Analytics with Excel
  • Data Science with PythonData Science with Python

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 Scientist with R Programming 4
    2 Data Scientist with SAS Training 2
    3 Big Data Hadoop Developer 6
    4 Data Science with Python 2

    So you get access to over 160+ 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-round Data Scientist.

  • How do I enroll for the masters program?

    You can enroll for the program on our website and make an online payment using any of these options:
    • Visa debit/credit card
    • American Express and Diners Club cards
    • Master Card
    • 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 aslo 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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