Mathematical Finance with Python : Theory and Practice
Python coding from scratch, Black-Scholes model building, Monte-carlo simulations, Machine Learning, Technical Analysis
3.98 (77 reviews)
868
students
13 hours
content
Jul 2024
last update
$13.99
regular price
What you will learn
Essentials of Python Programming : Printing, Data Types, Branching, Loops, Advanced Data Structures, Functions, Recursion, Classes & Object oriented programming
Python for Finance : Statistics, Detailed modelling of Options using the Black-Scholes Model, Bond Valuation, Mathematical functions for finance(exp,log-normal)
Stochastic Finance : Random Walk Modelling, Monte-Carlo simulation for finance (Estimation of stock and options price), Brownian process , Histogram generation.
Machine Learning for Finance : Technical Analysis with Candlestick OHLC and other charts, Prediction of stock prices using advanced machine learning algorithms.
Detailed Mathematical Modelling of Black-Scholes Equation with Python. Comparison techniques for different BS Options pricing models with respect to impact
Special techniques for testing and debugging codes. Conceptual understanding of testing and debugging coupled with live debugging sessions in the virtual lab
Building mathematical models for financial instruments using custom functions & classes. Converting mathematical expressions into concise pieces of python code
Clear understanding of essential mathematical concepts required for financial modelling ( writing a mathematical expression in python language using functions)
Theoretical understanding of programming concepts and Hands-on python lab for each concept to apply the theoretical learning immediately in coding environment
Key model building techniques for Finance like Black-Scholes Options Pricing, Monte Carlo Simulation for Finance, Stock prediction using Machine Learning etc.,
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4642392
udemy ID
14/04/2022
course created date
02/05/2022
course indexed date
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