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

3,510 évaluations
676 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


28 févr. 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.


13 févr. 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!

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351 - 375 sur 727 Avis pour Data Analysis with R Programming

par Kenya

8 sept. 2021

This was a great foundation for further adventures with R

par Varshita L

3 sept. 2021

Thank you so much it was great full to learn this course.

par Don G C

21 juil. 2021

Very good teacher. Need to do projects from here on out.

par Katarzyna O

19 juil. 2021

A great summary of basic data analysis with R. Thank you!

par Ka W S

27 juin 2021

Good quality, a good course to learn R for beginner level

par Dilesh

23 juin 2021

Amazing!! Thank you for this wonderful instructor Carrie.

par David Y

17 juin 2021

the best r course for beginners on the internet right now

par Azam k

6 juin 2021

The instructor way of delivering lesson was just amazing.

par yusuf b

18 mars 2022

I learned so much from this course.

|Thanks for teaching.

par Ismail B

2 févr. 2022

Nice start for basics of R , hope to Learn more , thanks

par Joka M

1 févr. 2022

It was practical and included everything about R. Thanks

par Halit A

10 mars 2022

It' a great course for people who start to learn newly.

par Dmitry Z

26 déc. 2021

I liked the course a lot! It is for R beginners though.

par Berrezzoug M E

3 juin 2021

I am happy, it is nice courses, I lean a lot. Thank you

par Avi G

21 avr. 2021

Some really clear and helpful instruction here, thanks!

par SeoWon Y

15 mai 2022

so easy to understand and get a super cool R language.

par Ahmed G

10 mai 2022

Excellent course, thank you very much for the effort .

par Sunyah J

27 avr. 2022

I​t was quit challanging but I made it! Thanks Google!

par Amirul M

10 mars 2022

great course for basic data visualization with tableau

par Abderrahim e y

28 nov. 2021

Thank you for this amazing explanation and your time.


7 oct. 2021

That's a great course to learn R programming language.

par manolis v

13 juin 2021

Very interesting and informative about the R language.

par Mukti S

22 mars 2022

Please add more practice excercise and concept video.

par Daniel L M

28 févr. 2022

Un curso muy difícil y completo, pero ameno de hacer.

par MD. M

6 sept. 2021

I really enjoyed the Data Analysis with R Programing