Leading Teams Working with Data: Pitfalls and Best Practices

Leading Teams Working with Data: Pitfalls and Best Practices

34mBeginner2021-02-24

Authors

Jason Schenker

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

Introduction

  • Deriving value from data
  • Four key elements of succeess

Pitfalls

  • Clean and dirty data
  • Version control
  • Error creation
  • Bias
  • Virtual teams and data

Best Practices

  • Communicate the big picture
  • Discuss potential issues in the data
  • Assess data storage and processing
  • Review data collection How and where
  • Create data if you need it
  • Triple check your work
  • Show and teach

Project Management

  • Have a plan
  • The value of deadlines

Evaluating Work

  • Evaluations
  • Completeness
  • Accuracy
  • Timeliness
  • Neatness

Conclusion

  • Next steps
40,000 Toman