Module 1: Python Foundations

Learn Python from the ground up with a focus on data science applications. This module covers why Python dominates data science, core syntax, variables, operations, and control flow. You’ll understand Python’s design philosophy and write your first programs.

Learning Objectives

By the end of this module, you will:

Understand object-oriented programming concepts and compare Python with other languages
Explain why Python is the standard for data science and machine learning
Write Python code following proper syntax and indentation rules
Work with different data types and perform basic operations
Use conditional statements and loops to control program flow
Create functions to organize and reuse code

Sections

Section 1: Object-Oriented Programming

Introduction to OOP concepts, classes, and objects. Compare Python’s approach with R, C++, SQL, and Java to understand programming paradigms.

Section 2: Variables and Data Types

Why Python dominates data science, syntax basics, variables, data types, and operations. Compare Python with familiar tools like Excel and R.

Section 3: Control Flow

Conditional statements, loops, and advanced iteration techniques. Learn to control program flow and process data efficiently.

Section 4: Functions

Define and use functions for code organization and reusability. Understand parameters, return values, and scope.