PYTHON III – Data Visualization

People use Python for data-intensive work in genetics, climate research, political and economic analysis, and much more. Data scientists have written an impressive array of visualization and analysis tools in Python.

This course involves exploring data through visual representations. It’s closely associated with data mining, which uses code to explore the patterns and connections in a data set.


SYLLABUS

  • Lesson 1 Getting Started
  • Lesson 2 Plotting a Simple Line Graph
  • Lesson 3 Random Walks
  • Lesson 4 Pygal
  • Lesson 5 Pygal continued
  • Lesson 6 The CSV – Format Information
  • Lesson 7 The CSV – Format Information continued
  • Lesson 8 JSON – Serialize Data
  • Lesson 9 JSON – Serialize Data continued
  • Lesson 10 Using a Web API
  • Lesson 11 Visualizing Repositories Using Pygal
  • Lesson 12 The Hacker News API
  • Lesson 13 Numpy and Pandas
  • Lesson 14 Numpy and Pandas continued
  • Lesson 15 Final Presentation

Requirement:

Leave a Reply

Your email address will not be published. Required fields are marked *