Skill Track Archives

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

Difficulty: Intermediate
Duration: Approximately 3-4 Weeks

Skill Track

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

Difficulty: Advanced
Duration: Approximately 5 Weeks

Skill Track

Natural Language Processing

This learning track introduces the fundamental concepts of text analytics, starting with preprocessing techniques like Text Data Cleansing, Text Visua

Difficulty: Intermediate
Duration: Approximately 5 Weeks

Skill Track

Statistics for Data Science

This learning track introduces the fundamental concepts of Statistical Inference, Hypothesis Testing, Significance Level, Measures of Central Tendency

Difficulty: Intermediate
Duration: Approximately 3 months

Skill Track

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

Difficulty: Beginner
Duration: Approximately 4 Weeks

Skill Track

Supervised Machine Learning – Regression

This learning track provides hands-on application of Statistical Analysis, Hypothesis Testing, Data Handling, Data Transformations, and Data Visualiza

Difficulty: Intermediate
Duration: Approximately 5 Weeks

Skill Track

Python Programming

This learning track provides an understanding of the fundamentals of Python programming language and hands-on application of Programming Constructs,

Difficulty: Beginner
Duration: Approximately 12 Hours

Skill Track

Data Understanding

This learning track provides a hands-on experience with Data Exploration, Data Visualization, Univariate and Multivariate Analysis, Correlation, Covar

Difficulty: Beginner
Duration: Approximately 3-4 Weeks

Skill Track

Supervised Machine Learning – Classification

This learning track introduces the fundamental concepts of various Classification algorithms such as Logistic Regression, Naive Bayes, Support Vector

Difficulty: Advanced
Duration: Approximately 5 Weeks

Skill Track

Advanced Supervised Machine Learning

This learning track introduces advanced supervised learning techniques like Bagging, Boosting, Random Forest, Gradient Boosting, Extreme Gradient Boos

Difficulty: Advanced
Duration: Approximately 2 Months

Skill Track

Unsupervised Machine Learning

This learning track introduces the fundamental concepts of dimensionality reduction through the PCA technique along with its Python implementation and

Difficulty: Intermediate
Duration: Approximately 5 Weeks

Skill Track

Time Series Forecasting

This is a placeholder description for this Learning Track that will be displayed on the front facing Track Card.

Difficulty: Beginner
Duration: Approximately 1 Month

Skill Track

Operations Research and Optimization Techniques

This learning track introduces the fundamental concepts of Operations Research and the implementation of various optimization techniques like Linear P

Difficulty: Intermediate
Duration: Approximately 3 Weeks