COURSES INCLUDED

1.

Data Science with SAS

21,000 worth

Get comprehensive, hands-on training on analytics using SAS, the most popular analytics language

  • 01. An overview of Analytics and Data Science
  • 02. Business Statistics and Application
  • 03. SAS language for data modeling
    • 04. Predictive Models and Machine Learning

1 more modules

2.

Data Science with R

21,000 worth

Learn R, the most widely used open source analytics tool in the world

  • 01. An Overview of Analytics and Data Science
  • 02. Business Statistics and Application
  • 03. An Introduction to R
    • 04. Predictive Models and Machine Learning

1 more modules

3.

Data Science with Python

25,000 worth

Learn to use Python to implement Data Science and Machine Learning

  • 01. Introduction to Data Science with Python
  • 02. Scientific Distributions Used in Python for Data Science
  • 03. Machine Learning
    • 04. Practical Applications of Machine Learning

1 more modules

4.

Advanced SAS: Macros & SQL

13,000 worth

Discover relationships within variables in data

  • 01. Introduction to SQL
  • 02. SQL Operations
  • 03. SQL Operations – Part 2
YOUR
SAVINGS
By choosing this learning path you end up saving 60,000

WHAT YOU GET

SQTL Learning Centre

Gain free access to a variety of supplemental resources like handouts, reference material, guides, lecture transcripts and student forums for a period of 12 months.

Faculty Support

Get your doubts solved by the SQTL Faculty via email, phone or chat

Q&A Sessions

2 hours of sessions every month, conducted by IT mentors to resolve your questions and doubts.

SQTL Lab

Access to a cloud-based solution, for hands-on experience with real-life business data using the latest tools

Career Counseling

Avail professional guidance on resume building, interview preparation and identification of relevant opportunities, for the IT field.

Placement Assistance

Help you get your dream job via industry references, interview preparations and specialized walk-in drives at SQTL Campus.

FINAL OUTCOME

After completing this specialization, you would have mastered the most popular analytical tools – SAS, R, Python and Advanced SAS (SQL and Macros). Your exhaustive data science skill set would enable you to build your analytics career in a better way.

WHO SHOULD DO IT

The Machine Learning Specialization is for:

Big data analysts and specialists who analyse unstructured data or large volumes of data.

  • Students & Freshers with relevant background:

    Those with engineering/ technology/ mathematics background.

  • Data Scientists

    Any data scientist who wishes to build expertise on machine learning.

  • Industry Experts

    Big data analysts and specialists who analyse unstructured data or large volumes of data.

If you need clarity on how online training works, please visit How It Works.

Or if you have any other questions, please visit the FAQs page.

In case you still have any unanswered questions, we encourage you to register for an upcoming webinar.