Leading Teams Working with Data: Pitfalls and Best Practices
34mBeginner2021-02-24
Authors
Jason Schenker
Economist, Finance Expert, Futurist, Speaker, and Author
Course details
Data is being created at a faster pace than ever before, and companies increasingly seek value in their data. This requires teams to implement data projects effectively. In this course, instructor Jason Schenker shares challenges and pitfalls to avoid when leading teams working with data. He identifies best practices that help you get data projects done right and lead your data teams to success. Jason discusses the importance of project management and how to use evaluations effectively when leading data teams. Throughout the course, he explores ways to make sure your projects bring your company value, whether your team members work together in person or remotely.
Skills covered
Leadership SkillsLimited SeriesLeadership and Management
Concepts
0. Introduction
- 01 - Deriving value from data
- 02 - Four key elements of succeess
1. Pitfalls
- 03 - Clean and dirty data
- 04 - Version control
- 05 - Error creation
- 06 - Bias
- 07 - Virtual teams and data
2. Best Practices
- 08 - Communicate the big picture
- 09 - Discuss potential issues in the data
- 10 - Assess data storage and processing
- 11 - Review data collection - How and where
- 12 - Create data if you need it
- 13 - Triple check your work
- 14 - Show and teach
3. Project Management
- 15 - Have a plan
- 16 - The value of deadlines
4. Evaluating Work
- 17 - Evaluations
- 18 - Completeness
- 19 - Accuracy
- 20 - Timeliness
- 21 - Neatness
Conclusion
- 22 - Next steps