A Beginners Guide to Python for Financial Analysis

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

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
Beginner초급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

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.

개발할 기술

Data ManipulationFinancial AnalysisPython ProgrammingData Visualization (DataViz)Finance

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  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

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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