Why Python: Introduction to Python and its significance in data science.
Google Colab: Learning how to use Google Colab for Python programming.
Data Types: Understanding basic Python data types.
Variables: Introduction to variables and their usage in Python.
Numeric Data: Deep dive into numeric data types and operations.
Strings: Manipulation and usage of string data type.
Conditional Logic: Using if-else and other conditional statements.
Sequence Data Types: Exploring lists, tuples, and range.
Loops: Understanding for and while loops for iteration.
Dictionaries and Sets: Learning about these complex data types.
Functions: Creating and using functions in Python.
Manipulating CSV Sheets: Working with CSV files and data manipulation.
Modular Mini Project: Applying learned concepts in a practical project.