このコースについて
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次における5の2コース

100%オンライン

自分のスケジュールですぐに学習を始めてください。

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約4時間で修了

推奨:1 week of study, 4-6 hours...

英語

字幕:英語

学習内容

  • Check

    Describe the various roles that make up a Data Science team

  • Check

    Know relevant questions for interviewing data scientists

  • Check

    Manage a Data Science team onboarding

  • Check

    Understand how to encourage and empower Data Science teams

習得するスキル

Team BuildingData ScienceManagementTeam Management

次における5の2コース

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約4時間で修了

推奨:1 week of study, 4-6 hours...

英語

字幕:英語

シラバス - 本コースの学習内容

1
4時間で修了

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...
17件のビデオ (合計83分), 8 readings, 6 quizzes
17件のビデオ
The Data Team2 分
When Do You Need Data Science?3 分
Data Engineer: Qualifications & Skills5 分
Data Scientist: Qualifications & Skills8 分
Data Science Manager: Qualifications & Skills4 分
Where To Find The Data Team2 分
Interviewing For Data Science5 分
Onboarding the Data Science Team5 分
Managing the Data Science Team7 分
Evaluating Success of the Team6 分
Embedded Teams vs. Dedicated Groups5 分
How Does Data Science Interact with Other Groups3 分
Empowering Others to Use Data5 分
Common Interaction Difficulties6 分
Common Internal Difficulties7 分
Wrap-Up1 分
8件の学習用教材
Lecture materials and related reading10 分
Lecture Materials and Related Reading10 分
Lecture Materials and Related Reading10 分
Lecture Materials and Related Reading10 分
Lecture Materials and Related Reading10 分
Lecture Materials and Related Reading10 分
Lecture Materials and Related Reading10 分
Post-Course Survey10 分
6の練習問題
Defining the data science team10 分
Data team qualifications10 分
Assembling the team10 分
Management strategies10 分
Working with other teams10 分
Common difficulties10 分
4.5
322件のレビューChevron Right

55%

コース終了後に新しいキャリアをスタートした

35%

コースが具体的なキャリアアップにつながった

14%

昇給や昇進につながった

人気のレビュー

ハイライト
Applicable teachings
(79)
Brief, helpful lectures
(11)
by NNDec 15th 2017

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.

by JSMar 12th 2017

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

講師

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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health
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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

ジョンズ・ホプキンズ大学(Johns Hopkins University)について

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....

Executive Data Scienceの専門講座について

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects....
Executive Data Science

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