Description
In this course, you will :
- 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.