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.
Well Taught Course , loved the lecturer present the information,for you who want to improved your management skill in data science this course can provide the introduction ,REST ? read a book
por prasanna v•
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.
por Maxim S•
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.
por Ryan V•
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.
por Clifton d L•
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.
por JOSEPH A•
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
por Vaughan W•
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.
por Ravi K S•
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.
por HYUN K•
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.
por Jeffrey M S•
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.
por Gopal I•
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
por Sergey V•
Most of what has been said can be applied for building Software Engineering Team. Nothing special if you have experience in managing Software Engineers.
por Dan O•
Useful information indeed, but still running into some disconnects between the course material and the tests, which is definitely very frustrating.
por Shriniwas S U•
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
por MANJEET K•
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.
por Guy B•
Gives a good idea of the roles required to build a competent team, dispelling the myth of the all encompassing data science guru
por Alfredo P J•
Great summary of mangement a Data Science Team!-. Includes roles on multiple entrepreneur configurations depending on size.
por Ben G•
Some of the multiple choice questions are _really_ more opinion than fact - making it almost impossible to get them "right"
por Azran O•
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
por Alfredo A C•
Short, well organized, and very useful. Perhaps quizzes could be improved in order to address more relevant topics. Thanks!
por Paul M•
Good course; enjoyed the content; learned quite a bit, although the management elements for pretty basic management tasks.
por Diego S•
This course gave me good insight about building a data science team that can be easily related to my work environment.
por Kelly H•
I think the questions in this course do not map as well as they could to the lectures. But, overall it's very helpful.
por Michele S•
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
por Poul H N•
Nice view from the top input regarding the issues facing performing data science on a daily basis.