Python for Finance: Portfolio Statistical Data Analysis

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Python for Finance: Portfolio Statistical Data Analysis provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Python for Finance: Portfolio Statistical Data Analysis is taught by Ryan Ahmed. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • In this project, we will use the power of python to perform portfolio allocation and statistically analyze the performance of portfolio using metrics such as cumulative return, average daily returns and Sharpe ratio. We will analyze the performance of following companies: Facebook, Netflix and Twitter over the past 7 years. This project is crucial for investors who want to properly manage their portfolios, visualize datasets, find useful patterns, and gain valuable insights such as stock daily returns and risks. This project could be practically used for analyzing company stocks, indices or currencies and performance of portfolio.

    Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.