Building a Data Science Team

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Beschreibung

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About this course: Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team…

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Frequently asked questions

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Noch nicht den perfekten Kurs gefunden? Verwandte Themen: Data Engineering, Data Science, Microsoft SQL Server, SQL & MySQL und Big Data.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. The different roles in the data science team including data scientist and data engineer 2. How the data science team relates to other teams in an organization 3. What are the expected qualifications of different data science team members 4. Relevant questions for interviewing data scientists 5. How to manage the onboarding process for the team 6. How to guide data science teams to success 7. How to encourage and empower data science teams Commitment: 1 week of study, 4-6 hours Course cover image by JaredZammit. Creative Commons BY-SA. https://flic.kr/p/5vuWZz

Created by:  Johns Hopkins University
  • Taught by:  Jeff Leek, PhD, Associate Professor, Biostatistics

    Bloomberg School of Public Health
  • Taught by:  Brian Caffo, PhD, Professor, Biostatistics

    Bloomberg School of Public Health
  • Taught by:  Roger D. Peng, PhD, Associate Professor, Biostatistics

    Bloomberg School of Public Health
Basic Info Course 2 of 5 in the Executive Data Science Specialization Commitment 1 week of study, 4-6 hours Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.5 stars Average User Rating 4.5See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Johns Hopkins University The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

Syllabus


WEEK 1


Building a Data Science Team



Welcome to Building a Data Science Team! This course is one module, intended to be taken in one week. the course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials and every lecture has a 5 question quiz. You need to get 4 out of 5 or better on the quiz to pass. Overall the quizzes are worth 17% of your grade each, with the exception of the last quiz, which is worth 15%. I'm excited to have you in the class and look forward to your contributions to the learning community. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum.If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center.Good luck as you get started, and I hope you enjoy the course! -Jeff


17 videos, 8 readings expand


  1. Video: About your instructor
  2. Video: The Data Team
  3. Video: When Do You Need Data Science?
  4. Reading: Lecture materials and related reading
  5. Video: Data Engineer: Qualifications & Skills
  6. Video: Data Scientist: Qualifications & Skills
  7. Video: Data Science Manager: Qualifications & Skills
  8. Reading: Lecture Materials and Related Reading
  9. Video: Where To Find The Data Team
  10. Video: Interviewing For Data Science
  11. Reading: Lecture Materials and Related Reading
  12. Video: Onboarding the Data Science Team
  13. Video: Managing the Data Science Team
  14. Video: Evaluating Success of the Team
  15. Reading: Lecture Materials and Related Reading
  16. Video: Embedded Teams vs. Dedicated Groups
  17. Video: How Does Data Science Interact with Other Groups
  18. Video: Empowering Others to Use Data
  19. Reading: Lecture Materials and Related Reading
  20. Video: Common Interaction Difficulties
  21. Video: Common Internal Difficulties
  22. Reading: Lecture Materials and Related Reading
  23. Video: Wrap-Up
  24. Reading: Lecture Materials and Related Reading
  25. Reading: Post-Course Survey

Graded: Defining the data science team
Graded: Data team qualifications
Graded: Assembling the team
Graded: Management strategies
Graded: Working with other teams
Graded: Common difficulties

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