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 徽標

约翰霍普金斯大学

教學大綱 - 您將從這門課程中學到什麼

內容評分Thumbs Up91%(3,525 個評分)Info
1

1

完成時間為 4 小時

Building a Data Science Team

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

查看所有評論

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....
数据科学管理

常見問題

  • 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:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • 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.

  • 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.

  • 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.

  • 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.

還有其他問題嗎?請訪問 學生幫助中心