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Volver a Python for Finance: Portfolio Statistical Data Analysis

Opiniones y comentarios de aprendices correspondientes a Python for Finance: Portfolio Statistical Data Analysis por parte de Coursera Project Network

Acerca del Curso

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....

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1 - 4 de 4 revisiones para Python for Finance: Portfolio Statistical Data Analysis

por 20human00

18 de abr. de 2021

Clear, easy to follow, and essential lecture! Just what I needed as a practitioner who's relatively new to python.

por Gregory G J

15 de ene. de 2021

Thumbs Up!

por Octavio L A

1 de feb. de 2021

Great course.

por Michele A

15 de ago. de 2021

Very basic course where simple tasks has been performed. Anyway since it-s for beginner it-s very good for start. Author is very clear in the explanations and everything is done step by step. I give 2 stars since for me it was too easy and too long for what it-s offering.