Career in Quant Finance vs Career in Tech/IT

MOST IMPORTANT QUANT FINANCE MODELS FOR ABSOLUTE BEGINNERS

HOW MUCH FINANCE IS NEEDED IN QUANTITAIVE FINANCE

ROADMAP TO BECOMING A QUANT (QUANTITATIVE FINANCE)

AREAS OF RISK MODELLING (FOR CAREER IN QUANTITATIVE FINANCE)

SALARY EXPECTATIONS IN QUANTITATIVE FINANCE

USE OF MACHINE LEARNING IN QUANTITATIVE FINANCE

CAREER PATHS IN QUANTITATIVE FINANCE

GRADIENT BOOSTING - MACHINE LEARNING

PRE-REQUISITES TO STUDY QUANTITATIVE FINANCE

CROSS VALIDATION IN MACHINE LEARNING/AI (K-FOLD AND LOOCV)

MOST IMPORTANT TOPICS IN QUANTITATIVE FINANCE

ADAPTIVE BOOSTING (ADABOOST) - MACHINE LEARNING

THINHGS TO KNOW FOR JOB SWITCH IN THE DATA FIELDS

HOW HAS DATA SCIENCE/ANALYTICS CHANGED OVER TIME

BEGINNER LEVEL QUANTITATIVE FINANCE PROJECTS

8 COMMON MISTAKES MADE IN DATA SCIENCE/STATISTICAL MODELLING

MONTE CARLO INTEGRATION IN PYTHON

Kernel Density Estimation in Python

MONTE CARLO SIMULATION EXAMPLES IN R (BASIC EXAMPLES)

HOW TO SWITCH CAREER FROM ACADEMIA TO INDUSTRY

EXTREME VALUE THEORY || MODELLING RARE EVENTS

AI ETHICS, BIAS IN AI AND REGULATIONS IN AI (GOOGLE'S PRINCIPLES)

JP MORGAN'S PAPER ON USE OF ML/AI IN INVESTMENT/TRADING

FREE COURSE ON GENERATIVE AI BY GOOGLE

QUANTITATIVE FINANCE CAREER

MONTY HALL PROBLEM (PROBABILITY PUZZLE)

14 DATA RELATED CAREER OPTIONS TO EXPLORE (BESIDE DATA SCIENCE)

UNDERSTANDING RIEMANN HYPOTHESIS | RIEMANN ZETA FUNCTION

VOLATILITY MODELLING IN FINANCE (AN INTRODUCTION)