Data Science Machine Learning Full Stack Roadmap 🚀 FREE Code and Videos

GitHub: https://github.com/hemansnation/God-Level-Data-Science-ML-Full-Stack

YouTube: https://www.youtube.com/@Himanshu-Ramchandani/videos

This roadmap contains 16 Chapters that can be completed in 8 months, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science.

After completing these topics, you will feel confident with your proof of work, skills, knowledge, projects, and portfolio

📢 This roadmap is for those who are targeting the following positions:

Data Scientist, Data Engineer, Machine Learning Engineer, NLP Engineer, Computer Vision Engineer, Research Scientist

Path for Data Science Full Stack:

1 - Python‌ ‌Programming‌ ‌and‌ ‌Logic‌ ‌Building‌

2 - Data‌ ‌Structure‌ ‌&‌ ‌Algorithms‌

3 - Pandas‌ ‌NumPy‌ ‌Matplotlib‌

4 - Statistics‌

5 - Machine‌ ‌Learning‌

6 - ML Operations

7 - Natural‌ ‌Language‌ ‌Processing‌

8 - Computer‌ ‌Vision‌‌

9 - Data‌ ‌Visualization‌ ‌with‌ ‌Tableau‌

10 - Structured ‌Query‌ ‌Language‌ ‌(SQL)

11 - Data Engineering

12 - Data System Design

13 - Five‌ ‌Major‌ Capstone ‌Projects‌

14 - Interview Preparations

15 - Git & GitHub

16 - Personal Branding and Portfolio

Join the Data Science Full Stack community group:

https://chat.whatsapp.com/BSUPbYhzzM1BcJplcTTIxb

Join Telegram For Data Science and ML Resources:

https://t.me/+sREuRiFssMo4YWJl

Notes on Data, Product, and AI - Newsletter (10.8k Subscribers): https://www.linkedin.com/newsletters/notes-on-data-product-ai-7014799989251956736/

Are you interested in these topics:

Python🐍 Machine Learning🤖 Data Science🥼

Data Engineering🧑‍💻 Computer Vision🖥️

NLP🤍 Business Problems🚀

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