Data Science with Python

From Python fundamentals to machine learning. Data manipulation with NumPy and Pandas, visualization, statistics, and model building with Scikit-Learn.

40 days

Curriculum

Phase 1: Python Foundations (day1-9)

Goal: Master the syntax and logic of the Python language.

Days 1&2: The Basics. Variables, Data Types (Strings, Integers, Booleans), and Basic Math.
Days 3&4: Control Flow. if/else statements, for and while loops, and list comprehensions.
Days 5&6: Functions. Learning how to write reusable code blocks and understanding "Scope."
Day 7,8&9: Data Structures. Deep dive into Lists, Dictionaries, Sets, and Tuples.

Phase 2: Data Manipulation & Analysis (Day 10–20)

Phase 3: Visual Storytelling (Days 21–25)

Phase 4: Statistics & Probability (Days 26–30)

Phase 5: Machine Learning (Days 31–37)

Phase 6: Final Capstone & Portfolio (Days 38–40)