This specialization will prepare you for the role of a Machine learning specialist


Data Science with R

10,000 worth

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

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

1 more modules


Introduction to Machine Learning

5000 worth

Master the fundamentals of Machine Learning

  • 01. Introduction
  • 02. Regression Algorithms
  • 03. Classifiers: Bayesian and kNN
    • 04. Tree Based Algorithms
    • 05. SVM and Improving Performance

2 more modules


Random Forest

4000 worth

Learn an ensemble learning method for classification and regression by using decision trees

  • 01. Single Decision Tree
  • 02. Rise of Ensemble Method
  • 03. Hands-on Session in R on Business Cases


General Boosting & Bagging

3000 worth

Build an ensemble of machine learning algorithms using boosting and bagging methods

  • 01. Decision Tree Ensembles: Bagging and Boosting
  • 02. Case Study: Analysis of Credit Data
  • 03. Case Study: The Titanic Accident
    • 04. Case Study: Comparing Alogrit

1 more modules


Support Vector Machines

5000 worth

Learn machine learning’s most high-performing algorithm

  • 01. Introduction to Support Vector Machines


Neural Networks

4000 worth

Learn advanced machine learning techniques using the Neural Networks algorithms

  • 01. Introduction to Artificial Neural Networks
  • 02. A Detailed Look at Neural Networks
  • 03. Demo Sessions


Text Mining with R

9000 worth

Get a thorough understanding of text analytics.

  • 01. Introduction to Text Mining
  • 02. TM Packages in R
  • 03. Regular Expressions
    • 04. Sentiment Analysis
    • 05. Topic Modelling
    • 06. Network Analysis
    • 07. Clustering

4 more modules

By choosing this learning path you end up saving 20,000


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.


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.


After completing this specialization, you would have mastered the most technology in the current world. Your exhaustive machine learning skill set would enable you to build your IT career in a better way. Machine Learning is future of 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.