Chevron Left
Retour à Data Analysis with R Programming

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

5,907 évaluations

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


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!


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.

Filtrer par :

176 - 200 sur 1,234 Avis pour Data Analysis with R Programming

par Ranvijay K

1 mars 2022

par Seung R J

20 oct. 2022

par Manojna P

9 juin 2022

par Leah P K

24 déc. 2021

par Fawwaz T

2 oct. 2021

par 437 A

17 mars 2022

par Arihant P

6 mars 2022

par Robert K

21 oct. 2022

par Heidi J

7 avr. 2022

par Nitasha S

22 janv. 2022

par Obsa A S

16 oct. 2022

par Yemisi O

21 oct. 2021

par Guénaëlle R

22 juil. 2022

par Andrés F G O

30 oct. 2022

par Elbio E P A

20 oct. 2021

par Sri H V S

24 juin 2021

par Niyigena A

28 août 2022

par Abdullah H I

29 avr. 2022

par Federica B

20 sept. 2021

par Arun K

13 avr. 2022

par Arghya D

30 janv. 2022

par Lenka S

26 nov. 2021

par gerardo r g

18 juin 2022

par Nafisat K J

3 févr. 2022

par Isaac A O

11 nov. 2021