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Data Analysis with R Programming(으)로 돌아가기

Google의 Data Analysis with R Programming 학습자 리뷰 및 피드백

3,945개의 평가
796개의 리뷰

강좌 소개

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....

최상위 리뷰


2022년 2월 28일

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.


2022년 2월 13일

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!

필터링 기준:

Data Analysis with R Programming의 848개 리뷰 중 701~725

교육 기관: 许扬

2022년 1월 28일


교육 기관: Jhon S K

2021년 12월 19일


교육 기관: Abdul R

2021년 12월 17일


교육 기관: GUTTI P

2021년 11월 6일


교육 기관: ENUONYE D J

2021년 11월 6일


교육 기관: IDAN R

2021년 9월 28일


교육 기관: Arsène M

2021년 9월 2일


교육 기관: VENU S

2021년 8월 17일


교육 기관: Narayanan P

2021년 8월 8일


교육 기관: Dharmendra S

2021년 8월 6일


교육 기관: venkati m

2021년 7월 11일


교육 기관: Chinmay K

2021년 6월 27일


교육 기관: Njogu G W

2021년 6월 16일


교육 기관: Harsh T

2022년 1월 3일


교육 기관: Timiebiotubo P

2021년 12월 4일


교육 기관: Dinesh r

2021년 7월 31일


교육 기관: Mary H

2022년 6월 20일


교육 기관: Harshal S

2022년 6월 15일


교육 기관: Baltazar A I

2022년 4월 26일

교육 기관: babita n

2022년 1월 12일


교육 기관: Muhamad M R

2022년 1월 1일


교육 기관: DHRUV D

2021년 9월 5일

교육 기관: Sumon S

2021년 5월 28일

교육 기관: Barb

2021년 10월 18일

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.

교육 기관: Rochelle

2021년 6월 3일

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!