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

4.5
2,536 ratings
339 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. https://flic.kr/p/5vuWZz...
Highlights
Applicable teachings
(79 Reviews)
Brief, helpful lectures
(11 Reviews)

Top reviews

NN

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.

JS

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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251 - 275 of 332 Reviews for Building a Data Science Team

By Alfredo P J

Jan 13, 2018

Great summary of mangement a Data Science Team!-. Includes roles on multiple entrepreneur configurations depending on size.

By VERONICA C

Sep 16, 2017

Great ad

By Nilay B

Dec 18, 2016

Material presented was succinct and easily understandable.

By Juliana A

Jul 12, 2017

Very informative but a bit repetitive ate some points.

By Ravi K S

Apr 04, 2018

1 start less because of the ever-confusing quiz questions. Hit and trials make you go mad, and insance when you figure out the correct answer that you couldn't have imagined.

By Usman A

Jan 17, 2018

There are too many variations in how teams get built, recruited and ramped up.

By Matthias L

Aug 11, 2017

It was a great overview of the different roles and also the interfaces between people and different teams. Nice to see that culture and communication were seriously discussed, showing awareness for organisational theory!

By Srinivasa L

Dec 02, 2017

Good class for some one completely new to building DS teams

By Marianne O

Feb 23, 2018

Very helpful

By Stellios S

Sep 17, 2017

Good course that puts various aspects of a Data Science manager day-to-day activities into perspective presented by a talented instructor. However, I feel that there are a couple of things that could fit into the course like the role of Data Curators in a team or the distinction between Analysts and Scientists (which, I know, is not always clear). The notions of KPIs and OKRs could also have been pointed out when it comes to setting goals and managing.

By SATISH R

Jun 02, 2017

great course

By Jeffrey M S

Aug 16, 2017

This course had a lot of practical, helpful guidelines for managing technology professionals in general, in addition to specific pointers for managing a data science team.

By Matheus R

Feb 06, 2016

Good overview on the roles and how to align expectations.

By Sourav P

Feb 27, 2018

Good course

By Paul M

May 16, 2017

Good course; enjoyed the content; learned quite a bit, although the management elements for pretty basic management tasks.

By Keuntae K

Mar 07, 2018

Overall, this course is good. Some sections seem to be quite lengthy.

By Dan O

Apr 24, 2016

Useful information indeed, but still running into some disconnects between the course material and the tests, which is definitely very frustrating.

By Ben G

Apr 06, 2017

Some of the multiple choice questions are _really_ more opinion than fact - making it almost impossible to get them "right"

By prasanna v

Jan 23, 2017

Good overview of forming Data science team. The challenges are typical of any SDLC project. However I was looking to glean some specific challenges between DSc team and product or marketing teams.

By Jeffrey B J

Aug 29, 2018

Quick and helpful for starting and supporting a team in an immature company.

By Gopal I

Sep 03, 2018

Team building is common. Could have cited examples of skill sets needed and how to keep track of changing industry and academia needs for building a team

By Elimane N

Apr 20, 2019

Very nice course

By Carlos A H

Jun 15, 2019

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.

By Shafeeq S

Jan 08, 2019

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

By Naim J

Feb 22, 2019

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.