Name: Building a Data Science Team
Brand: Johns Hopkins University
Availability: OnlineOnly
Rating: 4.5 (454 reviews)

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Learner Reviews & Feedback for Building a Data Science Team by Johns Hopkins University

4.5

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3,331 ratings

About the Course

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...

Highlights

Applicable teachings

(79 Reviews)

Brief, helpful lectures

(11 Reviews)

Top reviews

May 16, 2017

good overview and introduction to manager as to what traits to lookout for and organising the team. Very practical approach and implementable without being over the top.

Jan 22, 2017

Good overview of forming Data science team. The challenges are typical of any SDLC project. However I was looking to glean some specific challenges between DSc team and product or marketing teams.

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