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Project Management




Here is a good rule of thumb: If you are trying to solve a problem, and there are multi-billion dollar firms whose entire business model depends on solving the same problem, and there are whole courses at your university devoted to how to solve that problem, you might want to figure out what the experts do and see if you can’t learn something from it.


Learning Objectives

Once you have completed this section you will be able to:

  • list key principles of project management in the data science context
  • identify popular project management systems like Kanban and CRISP-DS
  • apply key principles of the Kanban task system
  • begin building a repository optimized for effect project management

Background Material

Required Reading:

  1. Motivating the Topic
  2. The “Gold Standard” for Data Science Project Management

According to the articles, what are the key components of a good project management system in data science?

Background Reading:

  1. Project Management Tools
  2. Best Practices for Data Science Project Workflows and File Organization, available on GitHub
  3. One-Page Visual Guide to CRISP-DM
  4. Zen And The aRt Of Workflow Maintenance
  5. Cookie Cutter Data Science: