Quizes contain mistakes, some of them did not accept answers which are definitely right (as it was told ithe lectures). Some mistake were not improved since 2015, according to threads from forum.

Good but should come after the Managing Data Analysis for understanding better what the people you hire are actually going to do. Preventing the "Dilbertification" of the data science manager.

Applied advice for the manager of the data science team. Much of the content will be familiar for those with a background in management or are common sense, but a useful reminder nevertheless.

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.

Excellent content - delivery could be improved somewhat but happy overall. Lots of practical advice relevant to the job and team dynamics. Read the supplementary material/links

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.

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.

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.

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.

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

Most of what has been said can be applied for building Software Engineering Team. Nothing special if you have experience in managing Software Engineers.

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

Basic course of DS and I think its not that much effective for those who are already did some basic courses on data science.

Good for very beginner

It was fun and help me understand and enlighten me on how the team works and what is the problem we have to tackle within and outside the team.

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

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

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

Good pointers but not a lot of unique new insights. A lot of this is based on building any team, not unique to Data Science

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

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

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

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

Very interesting perspectives from Professionals

Useful tips and great additional resources shared from the teacher

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

I like this course a lot as it covers the basics on forming and managing a team. very good reminders