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返回到 Python for Finance: Portfolio Statistical Data Analysis

学生对 Coursera Project Network 提供的 Python for Finance: Portfolio Statistical Data Analysis 的评价和反馈

课程概述

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 - Python for Finance: Portfolio Statistical Data Analysis 的 4 个评论(共 4 个)

创建者 20human00

Apr 18, 2021

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

创建者 Gregory G J

Jan 15, 2021

Thumbs Up!

创建者 Octavio L A

Feb 1, 2021

Great course.

创建者 Michele A

Aug 15, 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.