Python for Finance: Investment Fundamentals & Data Analytics

Learn Python Programming and Conduct Real-World Financial Analysis in Python for Finance: Investment Fundamentals & Data Analytics

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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

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

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Who this Python for Finance: Investment Fundamentals & Data Analytics 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

Python for Finance: Investment Fundamentals & Data Analytics course includes:

  • 8.5 hours on-demand video
  • 1 article
  • 42 downloadable resources

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