Learning Tracks

TO BUILD JOB READY DATA SKILLS FASTER

Healthcare Analytics

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

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

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)

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

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

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

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

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

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

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
Data Treatment and Feature Engineering

Data Treatment and Feature Engineering

This learning track provides a hands-on experience with Data Management and Understanding, Data Transformation, and Data Mining along with the applica
  • 1 bar graph
    Difficulty: Beginner
  • Asset 1
    Duration: Approximately 4 Weeks
Python Programming

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

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