Udemy - Quantitative Finance and Financial Engineering with Pytho...

Category: Other
Type: Tutorials
Language: English
Total Size: 3.4 GB
Uploaded By: freecoursewb
Downloads: 42167
Last checked: Aug. 13th '26
Date uploaded: Aug. 13th '26
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INFO HASH: E1AA04DC6245DBB1DAD837A0FA194CF74A750DC6

Quantitative Finance & Financial Engineering with Python

https://WebToolTip.com

Published 7/2026
Created by Christ Raharja
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 21 Lectures ( 5h 46m ) | Size: 3.4 GB

Learn financial mathematics, computational finance, volatility modelling, risk management, and option pricing

What you'll learn
⚡ Learn the basic fundamentals of quantitative finance and financial engineering
⚡ Learn how to access market data from Yahoo Finance, clean the data, analyse and visualise the data using Pandas and Matplotlib
⚡ Learn about financial mathematics and computational finance
⚡ Learn about descriptive statistics, probability, correlation, covariance, and regression analysis
⚡ Learn about time series analysis and volatility modelling using GARCH
⚡ Learn about stochastic calculus and Geometric Brownian Motion
⚡ Learn about risk management, stress testing, and scenario analysis
⚡ Learn how to calculate historical value at risk, parametric value at risk, and conditional value at risk
⚡ Learn how to conduct Monte Carlo risk simulation
⚡ Learn how to optimize portfolio using Capital Asset Pricing Model and mean variance optimization
⚡ Learn how to conduct forward pricing and financial derivative valuation
⚡ Learn how to conduct option pricing using Black Scholes model
⚡ Learn how to conduct derivatives pricing using Binomial Tree Model
⚡ Learn how to conduct fixed income modelling and fixed coupon bond pricing
⚡ Learn how to build implied volatility surface and create 3D visualization
⚡ Learn how to create cointegrated pair simulation and apply mean reversion concept

Requirements
❗ No previous experience in quantitative finance is required
❗ Basic knowledge in Python and statistics