Building a Data Science Team (Coursera)

Building a Data Science Team (Coursera)
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Building a Data Science Team (Coursera)
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.

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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

WHAT YOU WILL LEARN:

- Describe the various roles that make up a Data Science team

- Manage a Data Science team onboarding

- Know relevant questions for interviewing data scientists

- Understand how to encourage and empower Data Science teams

Course 2 of 5 in the Executive Data Science Specialization.


Syllabus


WEEK 1

Building a Data Science Team

Welcome to Building a Data Science Team! This course is one module, intended to be taken in one week. the course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials and every lecture has a 5 question quiz. You need to get 4 out of 5 or better on the quiz to pass. Overall the quizzes are worth 17% of your grade each, with the exception of the last quiz, which is worth 15%. I'm excited to have you in the class and look forward to your contributions to the learning community. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum.If you have questions about course content, please post them in the forums to get help from others in the course community. Good luck as you get started, and I hope you enjoy the course! -Jeff



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