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Data Visualization & Analysis In Python

Learn Data Visualization & Analysis In Python: Web Development HTML & CSS, D3 Javascript, Django Rest Framework & Restful API.

Data visualization involves the creation and study of the visual representation of data. A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics, but if you don’t master data visualization, you will miss the opportunity to explore data.

Requirements
  • No Prior Knowledge Or Work Is Necessary To Take This Course.
  • Pen And Paper For Precious Notes

In This Data Visualization Training, You’ll Learn:

  • A Language-Learning Bridge Between Python And Java Script
  • Reading And Writing Data With Python
  • Building A Webpage
  • Getting Your Data Off The Web With Python
  • Heavyweight Scraping With Scrapy
  • Using Python To Consume Data From Web API
  • Targeting HTML With Xpaths
  • Cleaning And Exploring Data With Pandas
  • Learning Numpy
  • How To Use Pandas
  • Visualizing Data With Matplotlib
  • Delivering & Serving The Data
  • Dynamic Data With Flask
  • Using Static Or Dynamic Delivery
  • Delivering Static Files
  • Visualizing Your Data With D3
  • Imagining A Nobel Visualization
  • Understanding D3 –The Story Of Bar Chart
  • The HTML Skeleton
  • D3’s Mapping Data Formats, Geo, Projections And Paths
  • Updating The Map
  • Building A Simple Tooltip

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