Craft of data visualization

This repo supplements Craft of data visualization with Python course taught @january'19.

General info

• Any technical issues, ideas, bugs in course materials, contribution ideas - add an issue

Syllabus

• Day 1 Intro to visualization and matplotlib

  • Lecture: Intro to data visualization with Python
  • Seminar: Python plotting libraries, matplotlib
  • Homework 1!

• Day 2 Advanced plotting

  • Seminar: Seaborn
  • Seminar: Interactive data visualization
  • Homework 2!

• Day 3 Plotting in ML

  • Lecture: How to visualize ML models and their quality
  • Seminar: How to implement all of this in Python
  • Homework 3!

• Day 4 Dimension reduction for visualization

  • Lecture: Intro into Dimension reduction
  • Seminar: An example of dimension reduction
  • Homework 4!

• Day 5 Advanced visualization

  • Lecture: Visualization of big and geospatial data
  • Seminar: Visualization of time series and time series models
  • Homework 5!

Main sources used

• Knaflic, C.N., 2015. Storytelling with data: A data visualization guide for business professionals. John Wiley & Sons.
• Claus O. Wilke, 2018. Fundamentals of Data Visualization
• Tutorial for bokeh

Contributors & course staff

Course materials and teaching performed by

• Alexey Zaytsev - all lectures and some seminars
• Arseniy Bozhenko - notebooks for seminars
• Ivan Nazarov - help during the course preparation