This course is the seventh course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R. This course will also cover the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
제공자:
이 강좌에 대하여
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
배울 내용
Describe the R programming language and its programming environment
Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors
Describe the options for generating visualizations in R
Demonstrate an understanding of the basic formatting R Markdown to create structure and emphasize content
귀하가 습득할 기술
- R Programming
- Data Analysis
- Data Visualization (DataViz)
- R Markdown
- Rstudio
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
제공자:

Google Career Certificates are part of Grow with Google, an initiative that draws on Google's 20-year history of building products, platforms, and services that help people and businesses grow. Through programs like these, we aim to help everyone– those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.
강의 계획표 - 이 강좌에서 배울 내용
Programming and data analytics
R is a programming language that can help you in your data analysis process. In this part of the course, you’ll learn about R and RStudio, the environment you’ll use to work in R. You’ll explore the benefits of using R and RStudio as well as the components of RStudio that will help you get started.
Programming using RStudio
Using R can help you complete your analysis efficiently and effectively. In this part of the course, you’ll explore the fundamental concepts associated with R. You’ll learn about functions and variables for calculations and other programming. In addition, you'll discover R packages, which are collections of R functions, code and sample data that you’ll use in RStudio.
Working with data in R
The R programming language was designed to work with data at all stages of the data analysis process. In this part of the course, you’ll examine how R can help you structure, organize, and clean your data using functions and other processes. You’ll learn about data frames and how to work with them in R. You’ll also revisit the issue of data bias and how R can help.
More about visualizations, aesthetics, and annotations
R is a tool well-suited for creating detailed visualizations. In this part of the course, you’ll learn how to use R to generate and troubleshoot visualizations. You’ll also explore the features of R and RStudio that will help you with the aesthetics of your visualizations and for annotating and saving them.
검토
- 5 stars82.50%
- 4 stars13.82%
- 3 stars2.34%
- 2 stars0.63%
- 1 star0.68%
DATA ANALYSIS WITH R PROGRAMMING의 최상위 리뷰
The course was detailed and the instructor was the best by far. She explained a lot of concepts well and the hands-on activities got me interested in learning even more of R. Thanks Carrie!
LOVE this course. I had 0 experience in R and this course was extremely easy to follow. Very happy I have another program to add to my resume and help me progress in my career as an analyst!
Tough stuff! Trying to remember the correct syntax for filtering was stressful but I'm so grateful to learn R. Thank you for this introduction. The videos were good but the hands-on really helped me.
Carrie's enthusiam for R was contagious. She provides clear and easy to understand explanations, and she is pleasant to listen to. It was easy to follow up. I am myself an R enthusiast now. Thank you!
Google 데이터 분석 전문 자격증 정보
Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 380,000 U.S. job openings in data analytics with a $74,000 median entry-level salary.¹

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What is data analytics?
Why start a career in data analytics?
Why enroll in the Google Data Analytics Certificate?
What background is required?
Do you need to be strong at math to succeed in this certificate?
What tools and platforms are taught in the curriculum?
Will you be teaching R or Python?
Which “spreadsheet” platform is being taught?
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