Python for Finance: Investment Fundamentals & Data Analytics

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training

Created by: 365 Careers
Creating opportunities for Data Science and Finance students

What Will I 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

Requirements

• You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course
• All software and data used in the course is free

Target audience

• 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