About this Course

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Approx. 18 hours to complete
Korean

What you will learn

  • R, R-Studio, Github 및 기타 유용한 도구 설정

  • 데이터 분석가가 사용하는 데이터, 문제 및 도구 이해

  • 필수 연구 설계 개념 설명

  • Github 리포지토리 생성

Skills you will gain

  • Question Modeling
  • Rstudio
  • Experimental Design
  • Experiment
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Approx. 18 hours to complete
Korean

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Week1
Week 1
5 hours to complete

데이터 과학 기초

5 hours to complete
5 videos (Total 40 min), 2 readings, 5 quizzes
Week2
Week 2
5 hours to complete

R 및 RStudio

5 hours to complete
5 videos (Total 34 min)
Week3
Week 3
4 hours to complete

버전 관리 및 GitHub

4 hours to complete
4 videos (Total 28 min)
Week4
Week 4
5 hours to complete

R Markdown, Scientific Thinking 및 Big Data

5 hours to complete
4 videos (Total 34 min)

Frequently Asked Questions

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