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 course is part of the Executive Data Science Specialization
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Executive Data Science SpecializationJohns Hopkins UniversityAbout this Course
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Course 2 of 5 in the
Approx. 6 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat 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
Skills you will gain
- Team Building
- Data Science
- Management
- Team Management
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 5 in the
Approx. 6 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Syllabus - What you will learn from this course
6 hours to complete
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. For technical problems with the Coursera platform, visit the Learner Help Center.Good luck as you get started, and I hope you enjoy the course! -Jeff
6 hours to complete
17 videos (Total 83 min), 8 readings, 6 quizzes
Reviews
- 5 stars62.35%
- 4 stars28.31%
- 3 stars6.85%
- 2 stars1.60%
- 1 star0.86%
HIGHLIGHTS
"Applicable teachings" in 79 reviews
"Brief, helpful lectures" in 11 reviews
TOP REVIEWS FROM BUILDING A DATA SCIENCE TEAM
by PWOct 13, 2018
Excellent course. All leadership in organizations that are data-driven or taking steps towards being data driven should enroll to this course. The quizzes could be better though.
by DKMar 13, 2016
This class had hard quiz.
Sometimes it seemed very basic, but some are hard unless you read and learn really well. Great class/knowledge. Practical real-life examples help.
by MGNov 4, 2016
Hi everyone !
It is my honor to appreciate what I learnt from this course. I love it,the university,and the instructors. It is a step forward for my carrier.
by BBMar 30, 2019
Well thought and constructed instructional materials. Easy to understand and more practical. I actually struggled with the quizzes unlike the First Course in this executive program.
About the Executive Data Science Specialization
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
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