Beginner’s Path to Becoming a Data Scientist in 2025 (with GenAI, CNNs & More!)

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Part 1: The Path

The constantly changing field of data science will be dominated by Generative AI, sophisticated deep learning, and real-time analytics 2025. Here’s a methodical road plan including free tools to help you become a data scientist from nothing! (Dont forget to see the list of project ideas in Part 2)

This is my recommended roadmap for any one who wishes to foray into the world of AI. Each step takes 1–2 months to complete depending on how many hours you will dedicate every day. I assume that you can dedicate 3–4 hours everyday with one to two days break every week.

Step 1: Master the Fundamentals of Programming and Mathematics

A strong foundation in Python, statistics, and linear algebra is essential before diving into AI and machine learning.

Learn Python for Data Science

• Python for Everybody — University of Michigan (Coursera)
• CS50’s Introduction to Python — Harvard (edX)

Understand Probability, Statistics, and Linear Algebra

• Khan Academy — Statistics & Probability
• Linear Algebra — MIT OpenCourseWare