Learning Tracks

TO BUILD JOB READY DATA SKILLS FASTER

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
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    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
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    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
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    Difficulty: Intermediate
  • Asset 1
    Duration: Approximately 5 Weeks

Statistics for Data Science

This learning track introduces the fundamental concepts of Statistical Inference, Hypothesis Testing, Significance Level, Measures of Central Tendency
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    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,
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    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
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    Difficulty: Beginner
  • Asset 1
    Duration: Approximately 3-4 Weeks

Advanced Supervised Machine Learning

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

Unsupervised Machine Learning

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

Time Series Forecasting

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

Deep Learning

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