The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.
존스홉킨스대학교이 강좌에 대하여
최근 조회 39,875회
학습자 경력 결과
34%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
40%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
19%
가 급여 인상 또는 승진 성취
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 7시간 필요
영어
자막: 영어, 한국어
배울 내용
Create a useful data product for the public
Apply your exploratory data analysis skills
Build an efficient and accurate prediction model
Produce a presentation deck to showcase your findings
귀하가 습득할 기술
Data ScienceMachine LearningR ProgrammingNatural Language Processing
학습자 경력 결과
34%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
40%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
19%
가 급여 인상 또는 승진 성취
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 7시간 필요
영어
자막: 영어, 한국어
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 1시간 필요
Overview, Understanding the Problem, and Getting the Data
This week, we introduce the project so you can get a clear grip on the problem at hand and begin working with the dataset.
완료하는 데 1시간 필요
7개 동영상 (총 20분), 6 개의 읽기 자료, 1 개의 테스트
7개의 동영상
Welcome from SwiftKey1m
You Are a Data Scientist Now1m
Introduction to Task 0: Understanding the Problem1m
Introduction to Task 1: Getting and Cleaning the Data1m
Regular Expressions: Part 1 (Optional)5m
Regular Expressions: Part 2 (Optional)8m
6개의 읽기 자료
A Note of Explanation2m
Project Overview10m
Syllabus10m
Task 0 - Understanding the problem10m
About the Corpora10m
Task 1 - Getting and cleaning the data10m
1개 연습문제
Quiz 1: Getting Started12m
완료하는 데 2시간 필요
Exploratory Data Analysis and Modeling
This week, we move on to the next tasks, exploratory data analysis and modeling. You'll also submit your milestone report and review submissions from your classmates.
완료하는 데 2시간 필요
2개 동영상 (총 3분), 2 개의 읽기 자료, 1 개의 테스트
2개의 읽기 자료
Task 2 - Exploratory Data Analysis10m
Task 3 - Modeling10m
완료하는 데 1시간 필요
Prediction Model
This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.
완료하는 데 1시간 필요
1개 동영상 (총 1분), 1 개의 읽기 자료, 1 개의 테스트
1개의 읽기 자료
Task 4 - Prediction Model10m
1개 연습문제
Quiz 2: Natural language processing I20m
완료하는 데 1시간 필요
Creative Exploration
This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
완료하는 데 1시간 필요
1개 동영상 (총 1분), 1 개의 읽기 자료, 1 개의 테스트
1개의 읽기 자료
Task 5 - Creative Exploration10m
1개 연습문제
Quiz 3: Natural language processing II20m
검토
DATA SCIENCE CAPSTONE의 최상위 리뷰
NT 제공2018년 3월 4일
Capstone did provide a true test of Data Analytics skills. Its like a being left alone in a jungle to survive for a month. Either you succumb to nature or come out alive with a smile and confidence.
SS 제공2017년 3월 28일
Wow i finally managed to finish the specialization!! definitely learned a lot and also found out difficulties in building predictors by trying to balancing speed, accuracy and memory constraints!!!
SM 제공2018년 10월 22일
The content of this course is very good and the assignments test the knowledge gained The video lectures are some times boring, losing focus.\n\nI think video lectures need some improvement
BH 제공2020년 1월 15일
Great finish to an excellent specialisation. It's actually opened up some excellent career options for me and I am very grateful to the instructions and Coursera for providing the platform.
자주 묻는 질문
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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.
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