- Data Analysis Lifecycle – Concept of Data Analysis and Its Lifecycle - Installing and Setting Up the Python Environment (Anaconda / Jupyter Notebook) - Python Basics: Variables, Data Types, Loops, and Functions - Introduction to Core Libraries: NumPy, Pandas, Matplotlib - Reading Files (CSV and JSON) and Writing Them - Overview of the Data Analysis Project Workflow