EA7C20L1 What does a Quantitative Trader / Quant Analyst do & why it matters today

EA7C20L2 Industry overview, myths vs. realities, and future relevance

EA7C20L3 Personality fit – who thrives in this profession

EA7C20L4 Interests & aptitudes – analytical, mathematical & tech-driven mindset

EA7C20L5 What to choose after 10th – key subjects like Maths, Statistics, Computer Science

EA7C20L6 What to Choose After 12th — Science stream focus, entrance exams & coding foundations

EA7C20L7 Extracurriculars, projects, competitions — Olympiads, coding fests, data challenges

EA7C20L8 Entrance overview – JEE, B.Sc. (Math/Stats/Eco), B.Tech., or Finance routes

EA7C20L9 Top Colleges & Universities — India (IITs, ISI, IIMs) + Global (MIT, LSE, Oxford)

EA7C20L10 Scholarships, alternate routes, and global pathways

EA7C20L11 Course Duration, Levels, and Structure — UG, PG, and specializations

EA7C20L12 Year-by-Year Subject Overview — Probability, Econometrics, Machine Learning, Finance

EA7C20L13 Teaching Style — Mathematical modeling, simulations, lab trading, real-time data

EA7C20L14 Assessment & Exams — Quant projects, coding tests, market case studies

EA7C20L18 First Job Roles — Quant Research Intern, Junior Trader, Analyst

EA7C20L19 Mid-Level Growth — Quant Developer, Portfolio Strategist, Algorithmic Trader

EA7C20L20 Leadership & Entrepreneurship — launching quant funds or fintech startups

EA7C20L21 Salary Insights — India & abroad, by role & skillset

EA7C20L22 Career Maps — growth over 5, 10, and 20 years

EA7C20L23 How AI, machine learning, and blockchain are shaping quant trading

EA7C20L24 New Branches — Crypto quant, High-frequency trading (HFT), DeFi analytics

EA7C20L25 5-year action plan + building your quant career roadmap

EA7C20L26 Related Careers — Data Scientist, Financial Engineer, Risk Analyst, Hedge Fund Manager