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.
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About this Course
최근 조회 25,094회
학습자 경력 결과
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이 강좌를 수료한 후 새로운 경력 시작하기
32%
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12%
급여 인상 또는 승진하기
귀하가 습득할 기술
Team BuildingData ScienceManagementTeam Management
학습자 경력 결과
50%
이 강좌를 수료한 후 새로운 경력 시작하기
32%
이 강좌를 통해 확실한 경력상 이점 얻기
12%
급여 인상 또는 승진하기
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 5개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 4시간 필요
권장: 1 week of study, 4-6 hours
영어
자막: 영어, 아랍어
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 4시간 필요
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
완료하는 데 4시간 필요
17개 동영상 (총 83분), 8 readings, 6 quizzes
17개의 동영상
The Data Team2m
When Do You Need Data Science?3m
Data Engineer: Qualifications & Skills5m
Data Scientist: Qualifications & Skills8m
Data Science Manager: Qualifications & Skills4m
Where To Find The Data Team2m
Interviewing For Data Science5m
Onboarding the Data Science Team5m
Managing the Data Science Team7m
Evaluating Success of the Team6m
Embedded Teams vs. Dedicated Groups5m
How Does Data Science Interact with Other Groups3m
Empowering Others to Use Data5m
Common Interaction Difficulties6m
Common Internal Difficulties7m
Wrap-Up1m
8개의 읽기 자료
Lecture materials and related reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Post-Course Survey10m
6개 연습문제
Defining the data science team10m
Data team qualifications10m
Assembling the team10m
Management strategies10m
Working with other teams10m
Common difficulties10m
4.5
354개의 리뷰Building a Data Science Team의 최상위 리뷰
하이라이트
Applicable teachings
(79)Brief, helpful lectures
(11)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.
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
존스홉킨스대학교 정보
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.
Executive Data Science 전문 분야 정보
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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