Building a Data Science Team
- Methode
Building a Data Science Team
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Beschreibung
When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan .
- Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
- Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.
About this course: 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…
Frequently asked questions
Es wurden noch keine FAQ hinterlegt. Falls Sie Fragen haben oder Unterstützung benötigen, kontaktieren Sie unseren Kundenservice. Wir helfen gerne weiter!
When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan .
- Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
- Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.
About this course: 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
Created by: Johns Hopkins University-
Taught by: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health -
Taught by: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health -
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
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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
WEEK 1
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 videos, 8 readings expand
- Video: About your instructor
- Video: The Data Team
- Video: When Do You Need Data Science?
- Reading: Lecture materials and related reading
- Video: Data Engineer: Qualifications & Skills
- Video: Data Scientist: Qualifications & Skills
- Video: Data Science Manager: Qualifications & Skills
- Reading: Lecture Materials and Related Reading
- Video: Where To Find The Data Team
- Video: Interviewing For Data Science
- Reading: Lecture Materials and Related Reading
- Video: Onboarding the Data Science Team
- Video: Managing the Data Science Team
- Video: Evaluating Success of the Team
- Reading: Lecture Materials and Related Reading
- Video: Embedded Teams vs. Dedicated Groups
- Video: How Does Data Science Interact with Other Groups
- Video: Empowering Others to Use Data
- Reading: Lecture Materials and Related Reading
- Video: Common Interaction Difficulties
- Video: Common Internal Difficulties
- Reading: Lecture Materials and Related Reading
- Video: Wrap-Up
- Reading: Lecture Materials and Related Reading
- Reading: Post-Course Survey
Graded: Defining the data science team
Graded: Data team qualifications
Graded: Assembling the team
Graded: Management strategies
Graded: Working with other teams
Graded: Common difficulties
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