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.
제공자:
Executive Data Science 특화 과정존스홉킨스대학교이 강좌에 대하여
최근 조회 53,394회
학습자 경력 결과
50%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
32%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
12%
가 급여 인상 또는 승진 성취
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 4시간 필요
영어
자막: 영어, 아랍어
배울 내용
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
귀하가 습득할 기술
Team BuildingData ScienceManagementTeam Management
학습자 경력 결과
50%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
32%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
12%
가 급여 인상 또는 승진 성취
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 4시간 필요
영어
자막: 영어, 아랍어
제공자:
존스홉킨스대학교
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.
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 개의 읽기 자료, 6 개의 테스트
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
검토
BUILDING A DATA SCIENCE TEAM의 최상위 리뷰
NN 제공2017년 12월 14일
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.
PV 제공2017년 1월 22일
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.
RV 제공2016년 5월 21일
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.
CL 제공2017년 11월 20일
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.
Executive Data Science 특화 과정 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.
자주 묻는 질문
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:
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.
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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