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.
Very well organized. Might consider adding couple of additional speakers with with more executive and management level experience with organizations that successfully implemented Data Science.
By Charissa B•
Really helpful for a manager of a data science team. Not overly technical for those without a data science background. Would certainly recommend to those in management positions who need to get up to speed on data science and managing teams involved with this discipline.
By VIDHYAMBIKA S•
A Very useful course and is recommended for leaders, entrepreneurs who plan to organise and manage a data science team in their company also recommended to all students who plan to become a data science manager or want to just know what makes a datascience team
By Miomir Z•
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.
By Pascal N•
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.
By Olga W•
Mostly relevant information and useful pointers for a quick introduction. Since I am already managing a data science team for over 2 years, I was looking for more in-depth insights and advice on solving a variety of problems.
By Matthias L•
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 Carlos A H•
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 Julien N•
Nice explications of a data science team, its players and how they interact within their team and the other departments of their organisation.
The Capstone project is the perfect application of this class
By 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.
By 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.
By 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.
By 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.
By 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
By 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.
By 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.
By 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.
By 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.
By 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
By 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.
By Dan O•
Useful information indeed, but still running into some disconnects between the course material and the tests, which is definitely very frustrating.
By 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
By 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.
By 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
By Alfredo P J•
Great summary of mangement a Data Science Team!-. Includes roles on multiple entrepreneur configurations depending on size.
By Ben G•
Some of the multiple choice questions are _really_ more opinion than fact - making it almost impossible to get them "right"