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.
Этот курс входит в специализацию ''Профессиональная сертификация 'Анализ данных от Google''
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Об этом курсе
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.
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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
Приобретаемые навыки
- 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.
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаот партнера
Программа курса: что вы изучите
Programming and data analytics
Programming using RStudio
Working with data in R
More about visualizations, aesthetics, and annotations
Рецензии
- 5 stars82,33 %
- 4 stars13,61 %
- 3 stars2,48 %
- 2 stars0,75 %
- 1 star0,81 %
Лучшие отзывы о курсе DATA ANALYSIS WITH R PROGRAMMING
Best Beginner course for learning R. If you've non programming language and wants to learn R. Go with this course. Quizzes, Add Files, Projects etc. are very helpful in learning this course.
It was a wonderful step by step teaching process. Really helped me gather the basics of R. Would love to have had additional resources for optional assignments at the end of it. For more practice.
The instructor was fantastic, and there was a good balance of hands-on learning, videos, reading, and mastery checks to overall make for an engaging and well-taught course. Highly recommend!
The course guided the concepts of R in a smooth manner teaching from basics to higher-level code. I really enjoyed each step and the project practices at each step helped strengthen the concepts.
Профессиональная сертификация 'Анализ данных от Google': общие сведения

Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на сертификацию?
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?
Do you need to take each course in course order?
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