Dec 14, 2017
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.
Jan 14, 2021
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 Ravi K S•
Apr 4, 2018
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 Fuzzy C•
Mar 14, 2016
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•
Aug 15, 2017
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 Deleted A•
Sep 3, 2018
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•
Feb 13, 2018
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•
Apr 24, 2016
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•
May 19, 2020
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•
Jun 18, 2020
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•
Feb 12, 2016
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•
Jan 13, 2018
Great summary of mangement a Data Science Team!-. Includes roles on multiple entrepreneur configurations depending on size.
By Ben G•
Apr 6, 2017
Some of the multiple choice questions are _really_ more opinion than fact - making it almost impossible to get them "right"
By Azran O•
Jan 12, 2017
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
By Alfredo A C•
Jan 9, 2017
Short, well organized, and very useful. Perhaps quizzes could be improved in order to address more relevant topics. Thanks!
By Paul M•
May 16, 2017
Good course; enjoyed the content; learned quite a bit, although the management elements for pretty basic management tasks.
By Diego S•
Oct 4, 2016
This course gave me good insight about building a data science team that can be easily related to my work environment.
By Kelly H•
Feb 29, 2016
I think the questions in this course do not map as well as they could to the lectures. But, overall it's very helpful.
By Michele S•
Jun 2, 2020
Very interesting perspectives from Professionals
Useful tips and great additional resources shared from the teacher
Feb 17, 2019
A great guide to anyone who is building a data science. The professor explained all the topics really well
By Victoria F M•
Oct 26, 2022
I like this course a lot as it covers the basics on forming and managing a team. very good reminders
By Poul H N•
Jan 27, 2018
Nice view from the top input regarding the issues facing performing data science on a daily basis.
By Rodrick B•
Apr 9, 2021
Good overview of what to expect as a Data Manager - content aligns with my real life experiences
By Anand P•
Jan 21, 2017
Very useful for learners who do not have a background in Data Science or, Software engineering
By Scott K•
Oct 10, 2015
Good overview of the different roles and skills needed for the roles of a data science team.
By Hrishikesh J•
Dec 25, 2016
Excellent Certification course on Team and deliverable management related to Data Science.
By bruce b•
Jul 29, 2016
good insights and ways to avoid problems in building and importantly advertising your team