Save for later

Building a Data Science Team

Executive Data Science,

Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. The different roles in the data science team including data scientist and data engineer 2. How the data science team relates to other teams in an organization 3. What are the expected qualifications of different data science team members 4. Relevant questions for interviewing data scientists 5. How to manage the onboarding process for the team 6. How to guide data science teams to success 7. How to encourage and empower data science teams Commitment: 1 week of study, 4-6 hours Course cover image by JaredZammit. Creative Commons BY-SA. https://flic.kr/p/5vuWZz

Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera and may earn a commission when you buy through our links.

Get a Reminder

Send to:
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

Send to:

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.

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
Enroll Now