Leading Data Science Teams - A Framework to Help Guide Data Science Project Managers - Jeffrey Saltz

Leading Data Science Teams - A Framework to Help Guide Data Science Project Managers - Jeffrey Saltz

Open Data Science via YouTube Direct link

Intro

1 of 20

1 of 20

Intro

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Leading Data Science Teams - A Framework to Help Guide Data Science Project Managers - Jeffrey Saltz

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 INTRODUCTION
  3. 3 OUTLINE
  4. 4 THINKING ABOUT PROJECT RISKS Some possible Issues
  5. 5 MANAGING PROJECT RISKS Example questions to ask
  6. 6 KEY AREAS OF FOCUS: 1 Team Roles - The composition of team
  7. 7 Data Scientist uses visualizations and machine learning to aid in the understanding data. Has an overview of the end-to-end process
  8. 8 EXAMPLE TEAM ROLES
  9. 9 TEAM PROCESS The process the team uses
  10. 10 TEAM PROCESS: SCRUM
  11. 11 TEAM PROCESS: CRISP-DM
  12. 12 TEAM PROCESS: KANBAN
  13. 13 ETHICS
  14. 14 EXAMPLE ETHICAL QUESTIONS
  15. 15 HOW TO ENSURE DATA QUALITY Some key questions: • Did cleaning introduce errors?
  16. 16 ANALYTICS WORKFLOW EXAMPLE
  17. 17 MODEL MANAGEMENT
  18. 18 PRODUCTION ROBUSTNESS
  19. 19 EXAMPLE MODEL DASHBOARD
  20. 20 2 QUICK POLLS - PRIORITIZATION & ROLE

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.