Learning Tracks

TO BUILD JOB READY DATA SKILLS FASTER

Healthcare Analytics

This learning track introduces the concepts, techniques, and applications of Data Treatment, Data Visualizations, Feature Engineering, Descriptive and
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 3 months

Insurance Analytics

This learning track introduces the concepts, techniques, and applications of Data Treatment, Data Visualizations, Feature Engineering, Descriptive and
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 3 months

Python Programming for Data Science

This learning track provides with hands-on application of Programming Constructs in Python using Data Structures, and introduces the concepts and tech
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 3-4 Weeks

Explainable AI (XAI)

This learning track introduces a highly efficient approach for understanding the predictions of any model through Explainable AI methods LIME and SHAP
  • 3 bar graph
    Difficulty: Advanced
  • Asset 1
    Duration: Approximately 5 Weeks

Natural Language Processing

This learning track introduces the fundamental concepts of text analytics, starting with preprocessing techniques like Text Data Cleansing, Text Visua
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 5 Weeks

Telecommunications Analytics

This learning track introduces the concepts, techniques, and applications of Data Treatment, Data Visualizations, Feature Engineering, Descriptive and
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 3 months

Statistics for Data Science

This learning track introduces the fundamental concepts of Statistical Inference, Hypothesis Testing, Significance Level, Measures of Central Tendency
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 3 months

Manufacturing Analytics

This learning track introduces the concepts, techniques, and applications of Data Treatment, Data Visualizations, Feature Engineering, Descriptive and
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 3 months

Retail and Consumer Goods Analytics

This learning track introduces the concepts, techniques, and applications of Data Treatment, Data Visualizations, Feature Engineering, Descriptive and
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 3 months

Automotive Industry Analytics

This learning track introduces the concepts, techniques, and applications of Data Treatment, Data Visualizations, Feature Engineering, Descriptive and
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 3 months

Python Programming

This learning track provides  an understanding of the fundamentals of Python programming language and hands-on application of Programming Constructs,
  • 1 bar graph
    Difficulty: Beginner
  • Asset 1
    Duration: Approximately 12 Hours

Data Understanding

This learning track provides a hands-on experience with Data Exploration, Data Visualization, Univariate and Multivariate Analysis, Correlation, Covar
  • 1 bar graph
    Difficulty: Beginner
  • Asset 1
    Duration: Approximately 3-4 Weeks