Этот курс входит в специализацию ''Специализация Executive Data Science'
Building a Data Science Team
от партнера
Об этом курсе
4.5
Оценки: 2,077
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
Чему вы научитесь
- Describe the various roles that make up a Data Science team
- Know relevant questions for interviewing data scientists
- Manage a Data Science team onboarding
- Understand how to encourage and empower Data Science teams
Приобретаемые навыки
Team BuildingData ScienceManagementTeam Management
Программа курса: что вы изучите
Week
1Building 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 видео (всего 83 мин.), 8 материалов для самостоятельного изучения, 6 тестов
17 видео
The Data Team2мин
When Do You Need Data Science?3мин
Data Engineer: Qualifications & Skills5мин
Data Scientist: Qualifications & Skills8мин
Data Science Manager: Qualifications & Skills4мин
Where To Find The Data Team2мин
Interviewing For Data Science5мин
Onboarding the Data Science Team5мин
Managing the Data Science Team7мин
Evaluating Success of the Team6мин
Embedded Teams vs. Dedicated Groups5мин
How Does Data Science Interact with Other Groups3мин
Empowering Others to Use Data5мин
Common Interaction Difficulties6мин
Common Internal Difficulties7мин
Wrap-Up1мин
8 материала для самостоятельного изучения
Lecture materials and related reading10мин
Lecture Materials and Related Reading10мин
Lecture Materials and Related Reading10мин
Lecture Materials and Related Reading10мин
Lecture Materials and Related Reading10мин
Lecture Materials and Related Reading10мин
Lecture Materials and Related Reading10мин
Post-Course Survey10мин
6 практического упражнения
Defining the data science team10мин
Data team qualifications10мин
Assembling the team10мин
Management strategies10мин
Working with other teams10мин
Common difficulties10мин
4.5
67%
83%
12%
Лучшие рецензии
Основные моменты
Applicable teachings
(79)Brief, helpful lectures
(11)автор: NN•Dec 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.
автор: JS•Mar 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
Преподавателя
Jeff Leek, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brian Caffo, PhD
Professor, BiostatisticsBloomberg School of Public Health
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
О 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.
О специализации ''Executive Data Science'
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.
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