Python for Finance: Investment Fundamentals and Data Analytics

✔ 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

📍 If you are a complete beginner and you know nothing about coding, don’t worry! We start from the very basics. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks. 📍