R 프로그래밍을 사용한 데이터 분석 from Coursera

Google 데이터 애널리틱스 수료증 과정의 일곱 번째 강좌입니다. 이 강좌에서는 데이터 애널리스트 직무에 필요한 입문 수준의 스킬을 배우게 됩니다. 여기에서는 R이라는 프로그래밍 언어와 R 언어로 작업할 수 있는 환경인 RStudio 사용 방법을 살펴봅니다. 또한 R 패키지와 같은 R 고유의 소프트웨어 애플리케이션 및 도구에 관해서도 배웁니다. R을 통해 데이터를 더욱 새롭고 강력한 방식으로 정리, 구성, 분석, 시각화, 보고할 수 있다는 사실을 확인하게 될 것입니다. 현직 Google 데이터 애널리스트가 최고의 도구와 리소스를 사용하여 일반적인 데이터 분석 작업을 완료하는 실습을 제시하고 지도합니다.

이 수료증 과정을 완료한 수강생은 데이터 애널리스트로서 입문 수준의 직무에 지원할 역량을 갖추게 됩니다. 관련 경험은 필요하지 않습니다.

이 강좌의 목표는 다음과 같습니다.

- R 프로그래밍 언어 사용의 이점을 살펴봅니다.

- RStudio를 사용하여 분석에 R을 적용하는 방법을 알아봅니다.

- R 프로그래밍과 관련된 기본 개념을 살펴봅니다.

- Tidyverse 패키지를 포함한 R 패키지의 내용과 구성요소를 살펴봅니다.

- 데이터 프레임과 R에서의 데이터 프레임 사용에 관해 이해합니다.

- R에서의 시각화 생성 옵션을 알아봅니다.

- R 프로그래밍을 문서화하기 위한 R Markdown에 관해 배웁니다.

What's inside

Syllabus

프로그래밍 및 데이터 애널리틱스

R은 데이터 분석 과정에 도움이 되는 프로그래밍 언어입니다. 여기에서는 R과 R 언어로 작업하는 환경인 RStudio에 관해 배웁니다. R과 RStudio 사용의 이점을 알아보고, RStudio의 기본적인 구성요소를 살펴봅니다.

RStudio를 사용한 프로그래밍

R을 사용하면 효율적이면서 효과적으로 분석을 완료할 수 있습니다. 여기에서는 R과 관련된 기본 개념을 살펴봅니다. 계산 및 기타 프로그래밍을 위한 함수와 변수에 관해 배웁니다. RStudio에서 사용할 수 있는 R 함수, 코드, 샘플 데이터의 모음인 R 패키지에 관해서도 살펴봅니다.

R을 사용한 데이터 작업

R 프로그래밍 언어는 데이터 분석 과정의 모든 단계의 데이터 작업을 처리하도록 설계되었습니다. 여기에서는 R에서 함수 및 기타 과정을 통해 데이터를 구조화, 구성, 정리하는 방법을 살펴봅니다. 데이터 프레임에 관해 배우고 R에서 데이터 프레임으로 작업하는 방법을 배웁니다. 데이터 편향의 문제를 다시 한번 살펴보고 R이 어떤 도움이 되는지도 알아봅니다.

시각화, 시각적 요소, 주석에 관해 자세히 알아보기

R은 상세한 시각화 자료를 생성하는 데 적합한 도구입니다. 여기에서는 R을 사용해 시각화 자료를 생성하고 시각화 관련 문제를 해결하는 방법을 배웁니다. 시각화 자료의 시각적 요소를 개선하고, 주석을 작성하여 저장하는 데 도움이 되는 R 및 RStudio의 기능도 살펴봅니다.

문서화 및 보고서

R에는 분석 결과를 저장하고 발표하기 위해 사용할 수 있는 여러 옵션이 있습니다. 여기에서는 R로 동적 문서를 만들기 위한 파일 형식인 R Markdown을 살펴봅니다. 또한 R Markdown의 형식을 지정하고 내보내는 방법과 R 코드 청크를 문서에 통합하는 방법을 배웁니다.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores R programming, which is a popular language for data analysis

Teaches the basics of data analysis in R, making it suitable for beginners

Covers advanced topics in data analysis, expanding the learner's knowledge

Provides hands-on exercises to reinforce learning

Includes expert instructors from Google, ensuring high-quality content

May be useful for those pursuing a career in data analysis

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in R 프로그래밍을 사용한 데이터 분석 with these activities:

R 기본 개념 리뷰

Show steps

R 기본 개념을 복습하여 수업에 대한 기반을 튼튼히 합니다.

Browse courses on R

Show steps

R과 RStudio의 기본 사항 복습
R 패키지와 함수 사용에 익숙해지기

R 패키지 탐색하기

Show steps

다양한 R 패키지를 탐구하여 특정 분석 작업에 맞는 적절한 패키지를 선택할 수 있습니다.

Browse courses on Tidyverse

Show steps

Tidyverse 패키지 탐구
그래픽 및 시각화 패키지 탐색
다른 주제별 R 패키지 탐색

데이터 시각화 프로젝트

Show steps

데이터 시각화 프로젝트를 만들어 시각화 기술을 향상시키고 데이터에서 통찰력을 얻습니다.

Browse courses on RStudio

Show steps

데이터 세트 선택
적절한 시각화 유형 결정
RStudio에서 시각화 생성
통찰력 추출 및 시각화 해석

One other activity

Expand to see all activities and additional details

Show all four activities

코스 자료 요약 및 리뷰

Show steps

코스 자료를 정리하고 검토하여 학습 내용을 강화하고 기억력을 향상시킵니다.

Show steps

강의 노트 및 자료 검토
과제 및 퀴즈 풀기

Career center

Learners who complete R 프로그래밍을 사용한 데이터 분석 will develop knowledge and skills that may be useful to these careers:

Data Analyst

As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course will teach you how to use R, a powerful programming language for data analysis, to perform these tasks. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to succeed as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of programming, mathematics, and statistics to develop and implement data-driven solutions to business problems. This course will teach you the basics of R, a programming language that is widely used in data science. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Data Scientist.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts help businesses to improve their performance by analyzing data and identifying opportunities for improvement. This course will teach you how to use R, a programming language that is widely used in business analysis, to perform these tasks. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to succeed as a Business Analyst.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians collect, analyze, interpret, and present data. They use their skills to help businesses, governments, and other organizations make informed decisions. This course will teach you the basics of R, a programming language that is widely used in statistics. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Statistician.

See salaries and explore the career path for Statistician

Market Researcher

Market Researchers collect, analyze, and interpret data to help businesses understand their customers and make better decisions. This course will teach you how to use R, a programming language that is widely used in market research, to perform these tasks. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Market Researcher.

See salaries and explore the career path for Market Researcher

Financial Analyst

Financial Analysts use data to make recommendations about investments and financial decisions. This course will teach you how to use R, a programming language that is widely used in financial analysis, to perform these tasks. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use data to improve the efficiency and effectiveness of businesses. This course will teach you how to use R, a programming language that is widely used in operations research, to perform these tasks. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

Quantitative Analysts use data to make investment decisions. This course will teach you how to use R, a programming language that is widely used in quantitative analysis, to perform these tasks. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Epidemiologist

Epidemiologists investigate the causes and patterns of disease. This course will teach you how to use R, a programming language that is widely used in epidemiology, to perform these tasks. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as an Epidemiologist.

See salaries and explore the career path for Epidemiologist

Biostatistician

Biostatisticians use data to solve problems in biology and medicine. This course will teach you how to use R, a programming language that is widely used in biostatistics, to perform these tasks. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Biostatistician.

See salaries and explore the career path for Biostatistician

Bioinformatics Scientist

Bioinformatics Scientists use data to solve problems in biology and medicine. This course will teach you how to use R, a programming language that is widely used in bioinformatics, to perform these tasks. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Bioinformatics Scientist.

See salaries and explore the career path for Bioinformatics Scientist

Software Engineer

Software Engineers design, develop, and maintain software systems. This course will teach you the basics of R, a programming language that is widely used in software development. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Software Engineer.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers design and build systems to store and manage data. This course will teach you the basics of R, a programming language that is widely used in data engineering. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Data Engineer.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers design and build systems that can learn from data. This course will teach you the basics of R, a programming language that is widely used in machine learning. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Visualization Specialist

Data Visualization Specialists use data to create visual representations of information. This course will teach you how to use R, a programming language that is widely used in data visualization, to perform these tasks. You will also learn how to use RStudio, a software environment that makes it easy to develop and run R code. This course will give you the skills you need to get started as a Data Visualization Specialist.

See salaries and explore the career path for Data Visualization Specialist