Learning Tracks

TO BUILD JOB READY DATA SKILLS FASTER

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
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
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
Advanced Supervised Machine Learning

Advanced Supervised Machine Learning

This learning track introduces advanced supervised learning techniques like Bagging, Boosting, Random Forest, Gradient Boosting, Extreme Gradient Boos
  • 3 bar graph
    Difficulty: Advanced
  • Asset 1
    Duration: Approximately 2 Months
Unsupervised Machine Learning

Unsupervised Machine Learning

This learning track introduces the fundamental concepts of dimensionality reduction through the PCA technique along with its Python implementation and
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 5 Weeks
Time Series Forecasting

Time Series Forecasting

This is a placeholder description for this Learning Track that will be displayed on the front facing Track Card.
  • 1 bar graph
    Difficulty: Beginner
  • Asset 1
    Duration: Approximately 1 Month
Deep Learning

Deep Learning

This learning track introduces the fundamental concepts of Deep Learning, starting with the simple Perceptron model to understanding and implementing
  • 2 bar graph
    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 4-5 weeks