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Avis et commentaires pour d'étudiants pour Data Analysis with R Programming par Google

2,528 évaluations
490 avis

À propos du cours

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. 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, you 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. - Explore 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....

Meilleurs avis

16 juin 2021

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.

26 nov. 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.

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426 - 450 sur 529 Avis pour Data Analysis with R Programming

par rahul s

6 janv. 2022


par Mohamed H

1 déc. 2021



15 août 2021


par Ashraful I E

2 août 2021


par Jhon S K

19 déc. 2021


par Abdul R

17 déc. 2021



6 nov. 2021



6 nov. 2021


par IDAN R

28 sept. 2021


par Arsène M

2 sept. 2021


par VENU S

17 août 2021


par Narayanan P

8 août 2021


par Dharmendra S

6 août 2021


par venkati m

11 juil. 2021


par Chinmay K

27 juin 2021


par Njogu G W

16 juin 2021


par Harsh T

3 janv. 2022


par Timiebiotubo P

4 déc. 2021


par Dinesh r

31 juil. 2021


par babita n

12 janv. 2022


par Muhamad M R

1 janv. 2022



5 sept. 2021

par Sumon S

28 mai 2021

par Barb

18 oct. 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.

par Rochelle

3 juin 2021

this was a challenging course! I really appreciated that the instructor spoke in a clear deliberate manner. The encouragement was also helpful. I felt like I could keep pushing on when I saw that others (even experienced R users) get error messages as well.

downside: I ran out out project hours in Rstudio halfway through week 4 and had to sign up using another email. That meant that all the work I had saved on the original account I could not access so that made it tricky when the instructor would tell us to open a file that we previously saved, but I couldn't get to it!