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

2,778 ratings
377 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.


Mar 12, 2017

Extremely practical and essentially human, this was really interesting to better understand the different roles and how to help data science teams to work together, highly recommended

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326 - 350 of 370 Reviews for Building a Data Science Team

By Todd

Feb 17, 2018

Some helpful suggestions but too much content on general, common sense management principles. Should be more focused on specifics of data science.

By Bart v d G

Dec 03, 2017

A lot of open doors if you have management experience but provides some overview of what to take into account specifically for a data science team


Aug 15, 2017

This class might not be designed for people who have had years of managerial experiences in a large organization.

By Jose C O B

Jun 17, 2016

The information is useful, but I think the five courses in the specialization could be merged into a single one.

By Paul D

May 10, 2018

Informative but many of the insights apply to good managers in general; not just for data science teams

By Daniel D

Oct 22, 2018

As having experience managing researcher the subject is not completely new, so it can seems long.

By pamandeep s g

Nov 10, 2015

Good interesting material but the quizzes were badly designed and did not test concepts well.

By Peter L

Jul 25, 2018

Added value is highly dependent of your experience with data analysis or data engeneering

By Grant C

Sep 30, 2016

There could be more work in the assignments in this course. The Quizzes are very simple.

By Shafeeq S

Jan 08, 2019

Good on understanding roles each has to play. but very lengthy to explain those.

By chen s

Sep 27, 2015

Great idea and syllabus.

The videos are too short and missing some explanations.

By Narek V

Feb 06, 2016

Probably, I wouldn't have a course just about how to hire/build a data team.

By Thomas N

Jan 03, 2017

needed more depth, which still could have been achieved in a 1-week format

By Saurabh G

Aug 13, 2019

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

By Ricardo J O

Jan 05, 2016

The courses in the specialization are - in my opinion, excessively short.

By Gregory M S

Sep 12, 2019

Too simple. Would have preferred more rigor and more material

By Djana R

Jun 24, 2018

Recommended for managers of IT companies.

By Peter P

Apr 16, 2016

Interesting, but content is a bit limited

By Deepak G

Jun 28, 2016

Very short. Quality of the course is OK.

By Joey S

Feb 27, 2018

The content is OK, but not exciting.

By Angel S

Jan 11, 2016

Quite useful

By Scott K

Oct 29, 2018

The content of this course was fine, but the quizzes were very poorly worded. The multiple choice answers were ambiguous and vague, making me spend FAR more time fretting on the interpretation of the phrase "assess a skill used in practice" than on recalling the truth of the course and applying that clearly to an answer. Particularly the Management Strategies and Assembling a Team quizzes were the worst of the set. If the article referenced in the question mentions "gaming the system" TWICE in the text, and that's provided as a possible answer, but that answer is wrong, then the quiz itself fails to accomplish the goal.

By Krijn v B

Nov 08, 2016

The explanation of roles is clear. So are other remarkt / piffalls / do's and don'ts. But those are valid for all specialist functions

Couple of remarks:

(1) The target audience seems to be the data manager, rather than any executive (C/ C-1 level) of function (HR) dealing with building a data science team.

(2) With regard to management and organizing, I missed the "academic" level (organisational design) nor did it help in setting up data science (where / how to start ?).

By Tony M

Nov 03, 2016

I'm not sure if the material presented in this course warranted a whole separate course (even if it only was one week). It probably could have been inserted in various segments of a larger data science specialization throughout the classes. Most of the topics discussed should be common knowledge to a mid-level manager of data science or even strategic marketing in general.

By Randhir N

Dec 22, 2017

Many things were unwanted ....for example Assembling team or On-boarding - are common for all the teams. There was nothing new from Data Science point of view. If you replace the word 'Data Science' by 'Any Project' then also the above mentioned module will have same meaning. Hence I did not like this module.