課程信息
4.5
1,973 ratings
276 reviews
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...
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建議:1 week of study, 4-6 hours

完成時間大約為4 小時
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您將學到的內容有

  • 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

您將獲得的技能

Data ScienceTeam ManagementManagementTeam Building
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Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
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建議:1 week of study, 4-6 hours

完成時間大約為4 小時
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English

字幕:English

教學大綱 - 您將從這門課程中學到什麼

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完成時間為 4 小時

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...
Reading
17 個視頻(共 83 分鐘), 8 個閱讀材料, 6 個測驗
Video17 個視頻
The Data Team2分鐘
When Do You Need Data Science?3分鐘
Data Engineer: Qualifications & Skills5分鐘
Data Scientist: Qualifications & Skills8分鐘
Data Science Manager: Qualifications & Skills4分鐘
Where To Find The Data Team2分鐘
Interviewing For Data Science5分鐘
Onboarding the Data Science Team5分鐘
Managing the Data Science Team7分鐘
Evaluating Success of the Team6分鐘
Embedded Teams vs. Dedicated Groups5分鐘
How Does Data Science Interact with Other Groups3分鐘
Empowering Others to Use Data5分鐘
Common Interaction Difficulties6分鐘
Common Internal Difficulties7分鐘
Wrap-Up1分鐘
Reading8 個閱讀材料
Lecture materials and related reading10分鐘
Lecture Materials and Related Reading10分鐘
Lecture Materials and Related Reading10分鐘
Lecture Materials and Related Reading10分鐘
Lecture Materials and Related Reading10分鐘
Lecture Materials and Related Reading10分鐘
Lecture Materials and Related Reading10分鐘
Post-Course Survey10分鐘
Quiz6 個練習
Defining the data science team10分鐘
Data team qualifications10分鐘
Assembling the team10分鐘
Management strategies10分鐘
Working with other teams10分鐘
Common difficulties10分鐘
4.5
Direction Signs

67%

完成這些課程後已開始新的職業生涯
Briefcase

83%

通過此課程獲得實實在在的工作福利
Money

12%

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創建者 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.

創建者 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

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

關於 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....

關於 Executive Data Science 專項課程

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

常見問題

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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