Python for Finance: Investment Fundamentals & Data Analytics
Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training
4.44 (28396 reviews)
138 469
students
9 hours
content
Apr 2025
last update
$159.99
regular price
What you will learn
Learn how to code in Python
Take your career to the next level
Work with Python’s conditional statements, functions, sequences, and loops
Work with scientific packages, like NumPy
Understand how to use the data analysis toolkit, Pandas
Plot graphs with Matplotlib
Use Python to solve real-world tasks
Get a job as a data scientist with Python
Acquire solid financial acumen
Carry out in-depth investment analysis
Build investment portfolios
Calculate risk and return of individual securities
Calculate risk and return of investment portfolios
Apply best practices when working with financial data
Use univariate and multivariate regression analysis
Understand the Capital Asset Pricing Model
Compare securities in terms of their Sharpe ratio
Perform Monte Carlo simulations
Learn how to price options by applying the Black Scholes formula
Be comfortable applying for a developer job in a financial institution
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Our Verdict
Python for Finance: Investment Fundamentals & Data Analytics course offers valuable insights into Python's use in finance with exposure to key libraries, advanced topics, and well-paced lessons. However, be prepared to face outdated content, lackluster presentation, limited practical examples, and unengaging coding exercises that need improvement. Updates addressing these issues would significantly enhance the overall educational experience for aspiring data scientists.
What We Liked
- Comprehensive coverage of key libraries used in finance
- Impressive exposure to advanced topics like Black-Scholes and Monte Carlo simulations
- Well-paced lessons for concept reinforcement
- Helpful inclusion of CSV files for continuing the course despite API issues
Potential Drawbacks
- Outdated content, particularly in regard to the Yahoo Finance API and Python 2 usage
- Limited practical examples and unengaging presentation
- Lack of flexible coding exercises and proper feedback mechanisms
- Quizzes that test no practical knowledge and insufficient for skill assessment
Related Topics
1035472
udemy ID
08/12/2016
course created date
28/06/2019
course indexed date
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