Comprehensive Data Science Roadmap
Table of Contents
Phase 1: Build Strong Foundation in Math & Statistics
1.1 Statistics & Probability
1.2 Linear Algebra
1.3 Calculus
Phase 2: Python Programming for Data Science
Phase 3: Python Libraries for Data Science
Phase 4: Machine Learning
Phase 5: Deep Learning & AI
Phase 6: AI/ML Projects (Beginner → Advanced)
Phase 7: Tools & Additional Skills
Suggested Learning Sequence
- Math & Stats → Python Basics → Python Libraries → ML Basics → ML Advanced → Deep Learning → AI Projects
- Always combine theory + coding + mini projects
- Build a portfolio of 5–10 projects to showcase your skills