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.
提供方
数据科学管理 專項課程约翰霍普金斯大学課程信息
56,337 次近期查看
學生職業成果
50%
完成這些課程後已開始新的職業生涯
32%
通過此課程獲得實實在在的工作福利
12%
加薪或升職
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 2 門課程（共 5 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為4 小時
英語（English）
字幕：英語（English）, 阿拉伯語（Arabic）
您將學到的內容有
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
您將獲得的技能
Team BuildingData ScienceManagementTeam Management
學生職業成果
50%
完成這些課程後已開始新的職業生涯
32%
通過此課程獲得實實在在的工作福利
12%
加薪或升職
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 2 門課程（共 5 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為4 小時
英語（English）
字幕：英語（English）, 阿拉伯語（Arabic）
提供方
约翰霍普金斯大学
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.
教學大綱 - 您將從這門課程中學到什麼
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
完成時間為 4 小時
17 個視頻 （總計 83 分鐘）, 8 個閱讀材料, 6 個測驗
17 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
8 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
6 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
審閱
來自构建数据科学团队的熱門評論
由 NN 提供2017年12月14日
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.
由 PV 提供2017年1月22日
Good overview of forming Data science team. The challenges are typical of any SDLC project. However I was looking to glean some specific challenges between DSc team and product or marketing teams.
由 RV 提供2016年5月21日
Good but should come after the Managing Data Analysis for understanding better what the people you hire are actually going to do. Preventing the "Dilbertification" of the data science manager.
由 CL 提供2017年11月20日
I found this course useful, especially the hints regarding a code of conduct for Data teams and the interactions with other teams. Also a good refresher on general team-leadership/management.
關於 数据科学管理 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.
常見問題
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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