A Beginners Guide to Python for Financial Analysis

提供方
Coursera Project Network
在此指导项目中,您将:

Perform exploratory data analysis and visualization of financial data

Calculate the stocks daily returns and obtain correlations

Perform interactive data visualization using Plotly Express

Clock2 hours
Beginner初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

In this hands-on guided project, we will use the power of python to perform stock data visualization and stock return calculation. We will analyze the performance of following companies: Facebook, Netflix and Twitter over the past 7 years. Also, we will analyze the stocks daily returns and study the correlations between various stocks in a portfolio. 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 and currencies. 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.

您要培养的技能

Data ManipulationFinancial AnalysisPython ProgrammingData Visualization (DataViz)Finance

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Understand the problem statement and business case

  2. Import datasets and libraries

  3. Perform exploratory data analysis

  4. Perform basic data visualization

  5. Perform interactive data visualization

  6. Calculate daily returns for individual stocks

  7. Calculate daily returns for multiple stocks

  8. Analyze daily returns

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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