Skip to content

Latest commit

 

History

History
32 lines (23 loc) · 1.56 KB

README.md

File metadata and controls

32 lines (23 loc) · 1.56 KB

Python Data Analytics and Visualization

Code repository for Python Data Analytics and Visualization by Packt

What you learn

  • Understand the importance of data analysis and get familiar with its processing steps
  • Get acquainted with NumPy to use with arrays and array-oriented computing in data analysis
  • Process and analyze data using the time-series capabilities of Pandas
  • Interact with different kind of database systems, such as file, disk format, Mongo, and Redis
  • Understand statistical and mathematical concepts behind predictive analytics algorithms
  • Analyze the result parameters arising from the implementation of predictive analytics algorithms
  • Recognize and mitigate various contingencies and issues
  • Use Pandas and NumPy to process and analyze data
  • Understand best practices while handling datasets and simple mathematical simulations
  • Data Visualization with Matplotlib
  • Interactive plotting with NumPy, Scipy, and MKL functions
  • Building financial models using Monte-Carlo simulations
  • Creating directed graphs and multi-graphs
  • Advanced visualization with D3

Note

[Click here] (https://docs.google.com/forms/d/e/1FAIpQLSe5qwunkGf6PUvzPirPDtuy1Du5Rlzew23UBp2S-P3wB-GcwQ/viewform) if you have any feedback or suggestions.

Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781788290098