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

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.

Great ad

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!

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

Good overview and learning on how to build data science teams

Topics are explained pretty good

Good overview on the roles and how to align expectations.

Very useful for learners who do not have a background in Data Science or, Software engineering

really good practical content

Excellent Certification course on Team and deliverable management related to Data Science.

Good overview of the different roles and skills needed for the roles of a data science team.

This course was much better than the previous one in the series.

Covers theory of basics for building the team very well.

This class had hard quiz.

Sometimes it seemed very basic, but some are hard unless you read and learn really well. Great class/knowledge. Practical real-life examples help.

Good overview of the roles and skills needed, but loses a little momentum when it gets into the team management side of things, which is covered in many other business courses.

A brush up on management 101 with a data twist

This course gave me good insight about building a data science team that can be easily related to my work environment.

Good course

Gives a good idea of the roles required to build a competent team, dispelling the myth of the all encompassing data science guru

Great one

Ver good with clear and on point material. I would suggest to include real life stories of success and failure some managers had in building a data science team, and discuss about the mistakes or the strengths of their recruitment process.

Good coverage in a very fast intro to the subject. Definitely take away some things I am able to put into use in my work. I get the feeling this is quite a new course (compared with the very well established Data Science Specialization) and does not have the student interaction base yet. I hope this aspect develops - perhaps even with the TAs. For this level course student interaction could be even more valuable than the more hands on data science subjects. Hope this specialization takes off as well as the DSS did!

good insights and ways to avoid problems in building and importantly advertising your team

Nice view from the top input regarding the issues facing performing data science on a daily basis.

I found this course useful, especially the hints regarding a code of conduct for Data teams and the interactions with other teams. Also a good refresher on general team-leadership/management.