Class 1: Python Basics: Syntax, Variables, Data Types, Operators, Casting, Input, Comments

Class 2: Data Structures (List, Tuple, Set, Dictionary), Control Flow (If-Else, Loops), Problem- Solving

Class 3: Looping (For, While), Python Statements (pass, continue, break), Functions, Lambda, Math Module, Array

Class 4: OOP Basics: Classes, Objects, Inheritance, Iterators, Exception & File Handling

Class 5: Recap + Integrative Problem Solving

Class 6: Final Python Problem-Solving Class

Class 1: NumPy: Arrays, Indexing, Reshaping, Mathematical Ops, Joins, Splits

Class 2: Pandas: DataFrames, Importing, Cleaning, Filtering, Sorting, Merging, Missing Values

Class 3: Real-World Data Practice with Pandas

Class 1: Matplotlib: Line, Bar, Scatter, Histogram, Pie, Customization

Class 2: Seaborn: Relational, Categorical, and Distribution Plots, Countplot, Swarmplot, Real Dataset Plotting

Class 3: Data Visualization Project

Class 1: Data Processing Techniques

Class 2: Data Analysis Project