Python for Finance: Portfolio Statistical Data Analysis

oferecido por
Coursera Project Network
Neste projeto guiado, você irá:

Perform exploratory data analysis and visualization of financial data

Portfolio allocation and calculate portfolio statistical metrics

Perform interactive data visualization using Plotly Express

Clock2 hours
BeginnerBásico
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

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.

Habilidades que você desenvolverá

  • Data Manipulation
  • Financial Analysis
  • Python Programming
  • Data Visualization (DataViz)
  • Finance

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  1. Understand the problem statement and business case

  2. Import datasets and libraries

  3. Perform random asset allocation and calculate portfolio daily return

  4. Perform random asset allocation and calculate portfolio daily return

  5. Perform portfolio data visulaization

  6. U​nderstand and calculate portfolio statistical metrics

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

Perguntas Frequentes – FAQ

Perguntas Frequentes – FAQ

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