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

4.8
stars
10,399 ratings

About the Course

This course is the seventh course in the Google Data Analytics Certificate. 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, and 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. 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

AR

Feb 13, 2022

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!

RK

Feb 28, 2022

Excellent course with lucid explaination. The way instructor covers the course makes you fall in love with R. All the topics are covered beautifully. Thank coursera and Google for this awesome course.

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By Andrea S

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Nov 8, 2022

Overall, I felt the course was very well laid out . Most of the narrators were engaging, and the interactive lessons were very helpful (wish there were more of them!). However, there were times with each new language where it seemed like there was a missing chapter. It went from "yes, I'm following and executing," to "wait, how did we get here?" I would still recommend the course. It is a great introduction to a whole new world, and if there is a language that clicks with you than there are many avenues to explore to dig deeper. What I learned about myself through this course is that I surprisingly enjoyed learning about analytics. I will be pursuing a particular "language" that I clicked with and adding it to my portfolio as I transition into the tech world.

By Barb C

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Oct 18, 2021

Need more focus on data cleaning, and more hands-on training for better understanding. This course is great but would be better if it included more environments where you need to find and finish the code. Doing this would allow the user to research and apply their fundamental understanding to the code chunk and help with the implementation of the code chunk. Learn and understand the code chunk based on their perspective and learning style. In addition, providing an environment to start and finish a project based on the knowledge acquired after the course challenge; will encourage the student to create, implement, and produce a project based on the information learned. In retrospect of a mini capstone.

By Xiomara H

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Aug 26, 2022

The video instructions are for the most part, instructional. The instructor has added code that was beyound theat current leasson put, it was always to introduce a new function, code chunk or structure. It's been useful to go back and revisit some video, as one progresses through the weeks, there inevitably are snag(s) that can be better understood by previous instructions.

At times there where the Practice Quiz - Hands-On Activity seemed not to be purposeful or clearly define in it's intended direction. A few times as I completed a course I better understood the Hands-On Activity?