Building a Data Science Team
Get a Reminder
Rating | 4.3★ based on 356 ratings |
---|---|
Length | 2 weeks |
Effort | 1 week of study, 4-6 hours |
Starts | Jul 3 (44 weeks ago) |
Cost | $49 |
From | Johns Hopkins University via Coursera |
Instructors | Roger D. Peng, PhD, Jeff Leek, PhD, Brian Caffo, PhD |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Business |
Tags | Data Science Data Analysis Business Leadership And Management |
Get a Reminder
Similar Courses
What people are saying
science team
Informative but many of the insights apply to good managers in general; not just for data science teams Excellent course.
It was a good refresher for me on management strategies and learn specifically Data Science team related people management topics.
Great summary of mangement a Data Science Team!-.
Great overview, especially if you're a first time manager or getting ready to lead your first data science team.
A lot of open doors if you have management experience but provides some overview of what to take into account specifically for a data science team Good class for some one completely new to building DS teams Informative overview of the various roles in a data science team.
the course is easy to learn , thank all that the course teacher Great course to understand several different roles in data science team.
This is a great course for gaining a top-level understanding of how to build a Data Science team.
It not only apply data science team but in general team management as well.
The course offers all the basics of how to build a data science team.
Great insight into how to build a data science team beyond common management issues that typically apply to team management.
a good course to get the Data Science team up and running.
I am the Manager of a Data Science team Manager, so I'm a bit removed from the team and this course is helping me appreciate and understand more about what goes on within the team and how we as an organisation can get more from them and they from the organisation.
Very Informative 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.
The different roles in a data science team and the challenges faced are well explained.
Read more
building a data science
Building a Data Science Team is the second course in “Executive Data Science” specialization offered by John Hopkins University on Coursera.
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.
I know the course was about Building a data science team but it talked a lot about interactions.
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.
Very informative course on building a data science team!
But those are valid for all specialist functionsCouple of remarks: (1) The target audience seems to be the data manager, rather than any executive (C/ C-1 level) of function (HR) dealing with building a data science team.
Good and useful material This course gave me good insight about building a data science team that can be easily related to my work environment.
Easy to understanding the structure knowledge of building a data science team.
Building a Data Science Team does indeed contain helpful recommendations for starting data science teammanagers/executives; for me it had a little too much of a Hu Good overview on the roles and how to align expectations.
Quite useful Great overview of building a data science team Excellent resource for a manager in data science projects.
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.
Very useful and easy to comprehend Really enjoyed this summary course about building a data science team.
Excellent insight and guidance on essential practices in building a data science team.
Usefull information to start building a data science team.
Read more
too much
Very helpful 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 Some helpful suggestions but too much content on general, common sense management principles.
Too much talk with too little substance.
If you already managed teams, too much common sense stuffs.
There’s not too much to dislike about this course apart from its brevity.
Read more
data analysis
This course gave me a good understanding and helpful tips on how to deal with a professional team to keep them motivated and increase productivity Good coverage regarding finer nuances of managing a Data Science team Very Important with Managing Data Analysis course Excellent overview of the data science team P Excellent introduction to how to build a data scientist team.
Thanks to it, i got an interest in developing my skills in Data Analysis further.
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 ... Good but should come after the Managing Data Analysis for understanding better what the people you hire are actually going to do.
Good to understand the basics Added value is highly dependent of your experience with data analysis or data engeneering Very useful course given a very good overview of the tasks, profiles and skills you need to build and manage a data science team.
Read more
different roles
It was a great overview of the different roles and also the interfaces between people and different teams.
very good course for beginners, in my case I built the same team and processes by heart and it matched the suggestions in this course 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 This seemed more appropriate for a startup, and most of the content was rudimentary This course was much better than the previous one in the series.
Read more
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | 4.3★ based on 356 ratings |
---|---|
Length | 2 weeks |
Effort | 1 week of study, 4-6 hours |
Starts | Jul 3 (44 weeks ago) |
Cost | $49 |
From | Johns Hopkins University via Coursera |
Instructors | Roger D. Peng, PhD, Jeff Leek, PhD, Brian Caffo, PhD |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Business |
Tags | Data Science Data Analysis Business Leadership And Management |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course