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Building a Data Science Team

Building a Data Science Team

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8.5/10 (Our Score)
Product is rated as #134 in category Data Science

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 …

Instructor Details

Jeff Leek is an Assistant Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in Biostatistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome Biology, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for Biostatistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.

Specification: Building a Data Science Team

Duration

4 hours

Year

2015

Certificate

Yes

Quizzes

Yes

54 reviews for Building a Data Science Team

4.0 out of 5
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  1. Jay P

    Excellent inputs

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  2. Claudia K J

    EXCELENT CURSE, SO WELL EXPLAINED AND WELL PLANNED

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  3. Matheus M J

    Very insightful!

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  4. Synthia

    A great guide to anyone who is building a data science. The professor explained all the topics really well

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  5. Mallon L

    Good course. Helps you visualize what you need to build a data science team.

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  6. Naim J

    although important. The content is a bit primitive for professionals who have been in the corporate world for more than a decade. It only confirms that team work is essential in any discipline and any practice.

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  7. Promod R

    Fabulous and easy to understand and internalize!

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  8. Jose L M A

    Very good material. Concise and simple. It has been thoroughly worked out. Good job!

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  9. Livia R d C d

    Straight to the point! Very objective information.

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  10. Luis A

    The Professors are world class and the courses provide a great overview of an emerging field.

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  11. Hector R C C

    very nice course!

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  12. ANNE G S

    I found the subject matter well presented. The content is actionable and the instructor engaging.

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  13. Diem–Thy ( T

    Informative and to the point

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  14. Diem Thy ( T

    Informative and to the point

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  15. Balakrishnan.R

    Well thought and constructed instructional materials. Easy to understand and more practical. I actually struggled with the quizzes unlike the First Course in this executive program.

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  16. Gustavo V

    Usefull information to start building a data science team.

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  17. Omar Z

    Great overview and insight into the effective ways of building and managing a data science team within an organization.

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  18. Cedric B

    Little long& If you already managed teams, too much common sense stuffs. Still worth it.

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  19. Priyanka F P

    Excellent technical information!

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  20. Rafael H R

    Horrible experience with one quiz where I lost hours just because it is completely misleading, tricky and bad formulated. Many people had the same experience from long time ago and they didn’t have the courtesy to fixed it.

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  21. Ashish L

    Very nice overview of how to build a Data Science Team.

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  22. Elimane N

    Very nice course

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  23. Omid F

    Thank you very much for your excellent course. Best Regards Omid Faseli

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  24. Craig A B

    It’s a bit too general, and listy.

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  25. Christos R

    Very nice course, highly recommended

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  26. Vijay S K

    A lot of content is more or less generic, same as any software engineering team building. Specific scenarios should have been covered to make it data science team specific.

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  27. Carlos A H

    Excellent insight and guidance on essential practices in building a data science team. Area of improvement is emphasizing python more than R as python has become the preferred programming language in data science.

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  28. James L

    Very applicable course structure. Thank you for placing the strengths and challenges of managing a DS team into a well delivered course.

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  29. Penny A B

    Informative and worth your time especially if you lack HR knowledge.

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  30. Paul T R

    Very useful real world insight

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  31. Manuel E

    Excellent course. Liked the practical approach to interviewing.

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  32. Paulo B M d S

    Excelent combination between management and data science.

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  33. Le T P T

    very good scoure

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  34. Abhishek V K

    This is an excellent course for those who want to conceptualize a Data Science role or team for their organizations. The course not only explains the roles played by a data scientist, data engineer and data science manager, but also cover the intricacies working with the data science team. Their interaction with othe

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  35. Nitin S M

    thanks

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  36. Saurabh G

    A little dense on theory. Also a bit dated for certain parts I would say.

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  37. Florian K

    Some useful insights particular to managing a data science team, otherwise pretty Basic leadership stuff.

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  38. Gregory M S

    Too simple. Would have preferred more rigor and more material

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  39. Ivan D

    It was really helpful, useful and give me a lot of pleasure to listen.

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  40. David J

    Should not be part of a course “Executive Data Science”. very basic and no real insight into what makes a data science team different (if indeed it is).

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  41. Andres J

    Effective. Quick and to the point.

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  42. Rajneesh T

    na

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  43. Gregory L

    Great overview course on the subject

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  44. Marc–Eric L

    Very nicely done. I like that it focused on truly making data scientists performant in the real world of organizations. In scientific work, we tend to underestimate the impact of psychology and social sensibilization to get to results.

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  45. Marc Eric L

    Very nicely done. I like that it focused on truly making data scientists performant in the real world of organizations. In scientific work, we tend to underestimate the impact of psychology and social sensibilization to get to results.

    Helpful(0) Unhelpful(0)You have already voted this
  46. Alexander Z

    Short and up to the point

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  47. Sarah S

    Really heavy on the basics of management, vs the skills needed in individual roles.

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  48. Carlos E O S

    Great set of tools requiered to create an Analytics Strategy, something that is very requiered, event at the same level as technical skills.

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  49. diego m

    It was a great course. I was quite useful for me.

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  50. Peter C

    Really enjoyed this summary course about building a data science team.

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  51. Nina R

    Very useful and easy to comprehend

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  52. Victor D R

    Very good Training, there is great material and aspects that are very important to manage a team. Highly recommended.

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  53. Onedio S S J

    Congratulations! Excelent course!

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  54. Jorge Q G

    Everything is new to me so I found it very interesting. Profesor might understand that he has all kind of backgrounds in the audience and maybe for some of us English is not our native language so, please slow down when speaking. Thanks so much!

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