30 days Roadmap To Learn Python For Data Analysis

Deepshika

30 days Roadmap To Learn Python For Data Analysis

Here is the 30 days Roadmap To Learn Python For Data Analysis:

Days 1-5: Introduction to Python

1. Day 1: Install Python and a code editor (e.g., Anaconda, Jupyter Notebook).

2. Day 2-5: Learn Python basics (variables, data types, and basic operations).

Days 6-10: Control Flow and Functions

6. Day 6-8: Study control flow (if statements, loops).

9. Day 9-10: Learn about functions and modules in Python.

Days 11-15: Data Structures

11. Day 11-12: Explore lists, tuples, and dictionaries.

13. Day 13-15: Study sets and string manipulation.

Days 16-20: Libraries for Data Analysis

16. Day 16-17: Get familiar with NumPy for numerical operations.

18. Day 18-19: Dive into Pandas for data manipulation.

20. Day 20: Basic data visualization with Matplotlib.

Days 21-25: Data Cleaning and Analysis

21. Day 21-22: Data cleaning and preprocessing using Pandas.

23. Day 23-25: Exploratory data analysis (EDA) techniques.

Days 26-30: Advanced Topics

26. Day 26-27: Introduction to data visualization with Seaborn.

27. Day 28-29: Introduction to machine learning with Scikit-Learn.

30. Day 30: Create a small data analysis project.

Use platforms like Kaggle to find datasets for projects & GeekforGeeks to practice coding problems.