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Back to Data Analysis with R Programming

Learner Reviews & Feedback for Data Analysis with R Programming by Google

4.8
stars
11,248 ratings

About the Course

This course is the seventh course in the Google Data Analytics Certificate. In this course, you鈥檒l learn about the programming language known as R. You鈥檒l find out how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages. You鈥檒l 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. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Examine the benefits of using the R programming language. - Discover how to use RStudio to apply R to your analysis. - Explore the fundamental concepts associated with programming in R. - Understand the contents and components of R packages including the Tidyverse package. - Gain an understanding of dataframes and their use in R. - Discover the options for generating visualizations in R. - Learn about R Markdown for documenting R programming....

Top reviews

A

Nov 27, 2021

Great introduction to what you can achieve using R. The course material is logical and well though out and the provided links to additional resources are useful to supplement your learning further.

TD

Jun 17, 2021

T鈥媜ugh 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.

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By Alejandro O M

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Dec 10, 2023

Excellent

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Dec 6, 2023

very good

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Dec 3, 2023

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Nov 23, 2023

very good

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Nov 21, 2023

Excellent

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Nov 9, 2023

Muy bueno

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Sep 16, 2023

excellent

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Sep 5, 2023

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Aug 15, 2023

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Aug 10, 2023

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Jul 27, 2023

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Jul 13, 2023

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May 8, 2023

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May 7, 2023

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Mar 29, 2023

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Jan 12, 2023

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Aug 19, 2022

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Jul 20, 2022

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May 29, 2022

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