• Introduction to Artificial Intelligence & Machine Learning
  • Introduction to Machine Learning tools and techniques
  • Introduction to Statistics: Data Distributions, Mean, Variance, Standard Deviation, Probability
  • Data Visualization & Graphs: Types of Charts, Factors Influencing Chart Selection, Scatter Plot, Mekko, Heat Map, Bubble Chart
  • Introduction to Python: Software Setup, Data Types, Strings, Variables, Loops, Decision Making
  • Sequences and File Operations: Python I/O Functions, Lists, Tuples, Functions, OOPs
  • Working with Modules and Handling Exceptions: Standard Libraries, Modules in Python (OS, Sys, Date and Time, etc.), Errors and Exception Handling