Unit 1: Introduction to Python for Finance
Unit 2: NumPy for Numerical Computing
Unit 3: Pandas for Data Analysis
Unit 4: SciPy for Scientific Computing
Unit 5: Working with Financial Data Sources
Quantitative Finance for Data Science Students: Python, Calculus, and Interview Prep
A comprehensive course equipping data science students with the quantitative finance knowledge, Python skills, and interview preparation needed to excel in the financial industry.
Unit 1: Calculus Review
Unit 2: Brownian Motion
Unit 3: Ito's Lemma
Unit 4: Asset Price Dynamics
Unit 1: Option Pricing Models: Black-Scholes
Unit 2: Option Pricing Models: Binomial Trees
Unit 3: Hedging Strategies
Unit 4: Value at Risk (VaR)
Unit 5: Expected Shortfall (ES)
Unit 1: Introduction to Time Series Analysis
Unit 2: Advanced Time Series Models
Unit 3: Machine Learning for Finance
Unit 4: Algorithmic Trading Basics
Unit 1: Quant Fundamentals Review
Unit 2: Brainteasers and Logic Puzzles
Unit 3: Coding and Algorithm Challenges
Unit 4: Communication and Behavioral Skills