What you’ll 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
Who this course is for:
- Aspiring data scientists
- Programming beginners
- People interested in finance and investments
- Programmers who want to specialize in finance
- Everyone who wants to learn how to code and apply their skills in practice
- Finance graduates and professionals who need to better apply their knowledge in Python
Deal Score-1
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.