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다음 특화 과정의 5개 강좌 중 5번째 강좌:
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자막: 조지아어, 에스토니아어, 독일어, 타이어, 영어, 일본어, 네팔어...
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 5번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 5시간 필요
영어
자막: 조지아어, 에스토니아어, 독일어, 타이어, 영어, 일본어, 네팔어...

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존스홉킨스대학교

강의 계획 - 이 강좌에서 배울 내용

1

1

완료하는 데 21분 필요

Obtain and Clean the Data

완료하는 데 21분 필요
1개 동영상 (총 1분), 2 개의 읽기 자료
1개의 동영상
2개의 읽기 자료
Introduction10m
Module 1: Obtain and Clean the Data10m
2

2

완료하는 데 10분 필요

Building Geoms

완료하는 데 10분 필요
1 개의 읽기 자료
1개의 읽기 자료
Module 2: Visualization Tools10m
3

3

완료하는 데 10분 필요

Building a Leaflet Map

완료하는 데 10분 필요
1 개의 읽기 자료
1개의 읽기 자료
Module 3: Mapping Tools10m
4

4

완료하는 데 2시간 필요

Documentation and Packaging

완료하는 데 2시간 필요
2 개의 읽기 자료
2개의 읽기 자료
Documentation and Packaging Tasks10m
Testing10m

Mastering Software Development in R 특화 과정 정보

R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing and scaling useful data science results and products. This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts....
Mastering Software Development in R

자주 묻는 질문

  • 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:

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  • 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.

  • 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.

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