nice, easy to follow introduction and guidlines to the topic

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

I really liked the course structure

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

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

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.

Gave summarized managerial overview.

Good overview for beginners. I totally suggest.

Data science part was very valuable to me while some basics of people management are just basic. Overall solid course that i would recommend. More advance/modern/popular tools such as coaching and shared leadership were missing to make it 5 stars.

Best,

Miomir

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

Expensive course.

Good for how to find a team.

Good for introduction in Data Science

Good introduction.

It covers all the essentials

Excellent Introduction.

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

Short, well organized, and very useful. Perhaps quizzes could be improved in order to address more relevant topics. Thanks!

I have studied this course as part of the Executive Data Science Specialization. I think this set of four courses meet my objectives by providing a very nice overview on the key points of data science projects. They are good to give a flavor on data science and data science projects helping decide if you want to search for more in depth knowledge.

I think the questions in this course do not map as well as they could to the lectures. But, overall it's very helpful.

Clear. Compact. Good.

Informative overview of the various roles in a data science team. The course is well-paced with plenty of supplemental curriculum to add substance beyond hiring. This covers the qualitative qualities that define and differentiate the human interactions of a successful team from that of the technical.

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

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!

too pricy