The virtual course "Creating a data science team - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 6 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
Data science is a team sport.
As a data science executive, it's your job to recruit, organize, and manage the team for success.
In this week-long course, we'll 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 of feeling empowered and successful, and how to manage your team as it grows.
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This is a focused course designed to quickly 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 out the technical information so 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 the different members of the data science team 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 4-6 hours Course cover image by JaredZammit.
Creative Commons BY-SA.
https://flic.
kr/p/5vuWZz 4-6 hours Course cover image by JaredZammit.
Creative Commons BY-SA.
https://flic.
kr/p/5vuWZz
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*You save up to USD$500 in 12 months, when you go from paying USD$59 for a monthly subscription, to an annual subscription with the promotion. The normal annual subscription is USD $399. With the promotion you will only pay USD $299. Find out everything by clicking the yellow button.
Johns Hopkins University
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