EA2C2L2 Evolution of Data Science — From Statistics to AI

EA2C2L3 Industry Overview — Domains Using Data Science (Finance, Healthcare, Retail, Agriculture, etc.)

EA2C2L4 Myths vs. Realities — What Being a Data Scientist Really Means

EA2C2L5 Future Relevance — The Global Data Economy

EA2C2L11 What to Choose After 12th — PCM/Commerce + CS/IT Stream Options

EA2C2L12 Extracurriculars & Competitions — Hackathons, Math Olympiads, AI Fests

EA2C2L13 Early Projects to Build Profile — Kaggle, GitHub, Open Datasets

EA2C2L15 Top Colleges & Universities — India (IITs, IIITs, BITS) + Global (MIT, Stanford, Oxford)

EA2C2L16 Admission Pathways — Direct Entry, Online Degrees, Bootcamps

EA2C2L17 Scholarships & Alternate Learning Routes — MOOCs, Coursera, EdX, Google Certifications

EA2C2L19 Year-by-Year Subject Breakdown — Math, Programming, ML, Deep Learning

EA2C2L20 Teaching Style — Lectures, Labs, Case Studies, and Research Work

EA2C2L21 Assessment & Projects — Capstone Projects and Data Challenges

EA2C2L23 Data Handling Skills — Cleaning, Visualization, and Model Deployment

EA2C2L24 Internships & Apprenticeships — Where to Find and How to Apply

EA2C2L25 Communication Skills — Turning Data into Decisions

EA2C2L26 Portfolio Building — GitHub, Kaggle Profile, and Case Studies

EA2C2L28 Mid-Level Growth — Data Engineer, Data Architect, AI Product Manager

EA2C2L29Leadership & Entrepreneurship — Building Your AI Startup or Consultancy

EA2C2L30 Salary Insights — India vs. Abroad, Industry-Wise Breakdown

EA2C2L31Career Maps — 5, 10, and 20-Year Trajectories

EA2C2L33 Emerging Specializations — MLOps, NLP, Responsible AI, and Data Ethics

EA2C2L34 5-Year Learning and Career Action Plan

EA2C2L35 Related Careers — ML Engineer, Data Engineer, Business Analyst, AI Researcher

EA2C2L36 Final Checklist — Building Your Brand as a Data Scientist