Dec 15, 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.
Mar 12, 2017
Extremely practical and essentially human, this was really interesting to better understand the different roles and how to help data science teams to work together, highly recommended
By Nupur B•
Sep 30, 2015
Very Informative & Elaborate
By Sophie L B•
Mar 04, 2018
very nice. The boundaries of skills between data engineers and data scientists are sometimes a little artificial but I enjoyed the material a lot.
By Luis E B C•
Dec 04, 2016
I will be using in my project,
It is really important to articulate the various areas of my organization with the data censors, can work transversally
By William J W•
Jun 20, 2018
What a great overview of a data science team and what it takes to build one. As a graduate with a MBA, concentration in DSBA, it took this course to really understand the makeup of a data science team and how to build one. I plan on meshing my understanding of how a business works with my newfound understanding of DS teams!
By Fanick S B A•
Jun 18, 2016
It does what it says
By Olga A•
Jan 19, 2017
Very good course! Thanks to it, i got an interest in developing my skills in Data Analysis further.
By Josue P•
Jul 27, 2017
very useful information with excelent and enjoyable exposition
By bojana m•
Jun 08, 2016
Well organized body of knowledge on how to build efficient data science team, from 0 to 60. Addresses a number of challenges including how to build an inter-disciplinary team, what to expect from practitioners from different disciplines, how to recognize right candidates, how to assign the right mix of practitioners to right business problems, how to cross-polinate the knowledge, how to keep feedback loops at professional level as it's fraught with potential for conflicting opinions, when to stop analysis, how to empower the team to initiate next iterations with business, common pitfalls and more. Worth every $ and all the time you'll spend on it.
By Sylvia M•
Jun 05, 2017
Excellent course with the right amount of detail. Examples were directly applicable and additional resources are a bonus.
By Matthew B•
Apr 21, 2016
Great advice, helpful reference material.
By Anand S•
May 01, 2017
This class was a great introduction to the topic of building a data science team.
The material was practically oriented, cited a lot of relevant external sources (e.g., news articles about data science), and was easy to understand.
The production quality was excellent - easy to listen to, ready to follow the slides, and the questions immediately followed each short segment.
I would have preferred it if the Professor had gone through different examples of data scientist and data engineering resumes to show me what performers in each quintile look like and what signals distinguish members of each quintile from the higher or lower quintile. Apart from the signals, and interview questions used to elicit these signals, how would the ability levels be different.
By Silvia T•
May 01, 2018
Excellent course. Great presentations.
By Stephen L•
Oct 04, 2015
I thought this course was great.
By Antonio P L•
Sep 26, 2015
By Paul H•
Jan 04, 2017
Great overview, lots of useful tips, and an interesting angle to approach data science that i was not well versed in.
By Mukesh R•
Jul 04, 2017
This course proved very useful to me as I am in the process of setting up a data science team for my customer.
By tommy c•
May 23, 2016
great for existence human and android based life-form simulation internal lifestyle...
The course improves life within the simulation 10 fold at least(when combined with the other specialization courses) ...
Perfect learning tool for those who have worked professionally in research field sin our simulation and yet now have a touch of "the turrings" or you know : CBI...
Special thanks to the designers of the course.
Top scores for coursera.org &John Hopkins ...
By Nisha S•
Aug 26, 2017
This course is a good-start for new Data science managers
By Shibaji M•
Sep 20, 2015
This is a great course for helping you decide where you fit in the data science domain. The content is very clear, informative and have definite suggestions and conclusions. Unlike most of the information available on this topic, which mostly says that you need to be a unicorn to be in this space, this course talks sense, divides scope, suggests achievable targets and you can plan and assess rationally.
Also Jeff is a classic teacher,it's always rewarding to listen to him whatever be the topic.
By Vijai K S•
Feb 10, 2016
Short yet nice :)
By Ashley K•
Dec 27, 2017
Great overview, especially if you're a first time manager or getting ready to lead your first data science team. Formative, but just listening (took me one afternoon), gives me more confidence moving forward.
By Lisa G•
Oct 27, 2016
Really well put together material and the Jeff Leek is engaging as a lecturer
By Michael B•
Sep 04, 2017
Clear and concise guidelines on what to consider when building and managing a high performing data science organization.
By Laurie J P•
Jan 26, 2017
Excellent lecturer and the topic focuses on issues specific to data science teams rather than general business practice.
By Felix E R P•
Jun 15, 2016
Good course to build a foundation on how to recruit your data science team