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Learner Reviews & Feedback for Building a Data Science Team by Johns Hopkins University

2,946 ratings
403 reviews

About the 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.
Applicable teachings
(79 Reviews)
Brief, helpful lectures
(11 Reviews)

Top reviews


Dec 15, 2017

This course was an exceptional experience where it introduces me to building a data science team, its challenges, nuances and also what kind of approach to take while building and sustaining the team.


Jul 07, 2020

Well Taught Course , loved the lecturer present the information,for you who want to improved your management skill in data science this course can provide the introduction ,REST ? read a book

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176 - 200 of 396 Reviews for Building a Data Science Team

By Diem-Thy ( T

Mar 23, 2019

Informative and to the point

By Tan L

Nov 28, 2018

Learn a lot! Thanks so much!

By Josh T

Nov 20, 2016

great course and instructor!

By Lisa K

Apr 15, 2016

Excellent Course and Series!

By Nupur B

Sep 30, 2015

Very Informative & Elaborate

By John E

Dec 20, 2017

Helpful breakdown, thanks!

By Ghada

Feb 14, 2016

Very enjoyable and useful.

By wonjai c

Aug 11, 2020

This is very good lecture

By Alexander Z

Dec 26, 2019

Short and up to the point

By Alzum S M

Jan 11, 2019

I great course completed.

By Gabriel U U

May 26, 2018

Great learning experience

By Andre G G

Mar 06, 2017

Must do it! Really good!

By Ivan D

Oct 08, 2016

Good and useful material

By Santanu C

May 17, 2017

Excellent.. Thanks Jeff

By olgakl77

Feb 15, 2017

Nice course. Thank you.

By claudio

Aug 12, 2016

Very clearly presented!

By sateesh

Dec 16, 2015

Great Course, Loved it.

By Michelle W

Feb 28, 2018

Succinct and engaging.

By Chris J C

Jan 17, 2018

Pretty engaging class.

By Pooja S

Jul 07, 2017

Great course material!

By Nwokedi T

Nov 26, 2015

Excellent presentation

By Stephanie A

Jun 21, 2017

Excellent Instruction

By Ignatious C

Apr 04, 2017

Really enjoyed myself

By William R

Aug 20, 2018

Excellent Instructor

By Mirza A b

Jul 23, 2017

Excellent experience