14 дек. 2017 г.
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.
14 янв. 2021 г.
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.
автор: Fuzzy C•
14 мар. 2016 г.
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.
автор: Jeffrey M S•
15 авг. 2017 г.
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.
автор: Gopal I•
3 сент. 2018 г.
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
автор: Sergey V•
13 февр. 2018 г.
Most of what has been said can be applied for building Software Engineering Team. Nothing special if you have experience in managing Software Engineers.
автор: Dan O•
24 апр. 2016 г.
Useful information indeed, but still running into some disconnects between the course material and the tests, which is definitely very frustrating.
автор: Shriniwas S U•
19 мая 2020 г.
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
автор: MANJEET K•
18 июня 2020 г.
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.
автор: Guy B•
12 февр. 2016 г.
Gives a good idea of the roles required to build a competent team, dispelling the myth of the all encompassing data science guru
автор: Alfredo P J•
13 янв. 2018 г.
Great summary of mangement a Data Science Team!-. Includes roles on multiple entrepreneur configurations depending on size.
автор: Ben G•
6 апр. 2017 г.
Some of the multiple choice questions are _really_ more opinion than fact - making it almost impossible to get them "right"
автор: Azran O•
12 янв. 2017 г.
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
автор: Alfredo A C•
9 янв. 2017 г.
Short, well organized, and very useful. Perhaps quizzes could be improved in order to address more relevant topics. Thanks!
автор: Paul M•
16 мая 2017 г.
Good course; enjoyed the content; learned quite a bit, although the management elements for pretty basic management tasks.
автор: Diego S•
4 окт. 2016 г.
This course gave me good insight about building a data science team that can be easily related to my work environment.
автор: Kelly H•
29 февр. 2016 г.
I think the questions in this course do not map as well as they could to the lectures. But, overall it's very helpful.
автор: Michele S•
2 июня 2020 г.
Very interesting perspectives from Professionals
Useful tips and great additional resources shared from the teacher
17 февр. 2019 г.
A great guide to anyone who is building a data science. The professor explained all the topics really well
автор: Poul H N•
27 янв. 2018 г.
Nice view from the top input regarding the issues facing performing data science on a daily basis.
автор: Rodrick B•
9 апр. 2021 г.
Good overview of what to expect as a Data Manager - content aligns with my real life experiences
автор: Anand P•
21 янв. 2017 г.
Very useful for learners who do not have a background in Data Science or, Software engineering
автор: Scott K•
10 окт. 2015 г.
Good overview of the different roles and skills needed for the roles of a data science team.
автор: Hrishikesh J•
25 дек. 2016 г.
Excellent Certification course on Team and deliverable management related to Data Science.
автор: bruce b•
29 июля 2016 г.
good insights and ways to avoid problems in building and importantly advertising your team
автор: Cédric B•
13 апр. 2019 г.
Little long… If you already managed teams, too much common sense stuffs. Still worth it.
автор: Joseph F•
5 июля 2021 г.
This is a good course to understand the concepts and how to build a data science team