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

4.8
stars
10,223 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

AA

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A very well structured intro to R programming language

It is what it says, nothing more nothing less.

Really good start to understand the basics of the language and how it functions as a whole.

A

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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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101 - 125 of 2,129 Reviews for Data Analysis with R Programming

By G L

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Apr 15, 2024

R is a powerful and widely-used programming language for statistical computing and data analysis. Its strengths lie in its specialized tools for statistical modeling, comprehensive visualization libraries like ggplot2, and an active community that contributes to a vast repository of packages. While it may have a steeper learning curve for beginners, its focus on reproducibility through tools like R Markdown and its open-source nature make it an attractive choice for researchers and data analysts. Despite potential concerns about speed and syntax complexity, R remains a valuable tool for those seeking in-depth statistical analysis and visualization capabilities in their data projects.

By Gabriel d c G S

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Jan 18, 2024

Eu simplesmente amei esse curso. Isto envolve aspectos da didática da professora e os materiais. Eu sou grato ao Google por disponibilizar esses conhecimentos valiosos de programação básica e análise de dados em um preço que cabe no bolso( affordable).Assim, eu estou muito contente pela oportunidade de ser ter aulas EAD dessa maravilhosa empresa de tecnologia mundial. I simply loved this course. This involves aspects of the teacher's teaching and materials. I'm grateful to Google for making this valuable knowledge of basic programming and data analysis available at an affordable price. Thus,I am so glad for this oportunity of being a pupil of this wonderful global tech company.

By Cat V H

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Jun 11, 2022

Thanks Carrie, the instructor of this course, along with Google and Coursera, to offer this course here. I learnt so much about programming with R, and I really enjoyed seeing how my code came to work in the RStudio console. There are stilll many things to learn about R, but this course guided me where to look for resources to learn and practice more. In this course, I learnt all about the analysis tasks with R coding, like cleaning, organizing, transforming, visualizing , reporting, and documenting data. Thanks again, it's great to see how far I've reached in this Google Certificate track. Google and Coursera, please keep up your good work!

By Yahya M A S

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Sep 12, 2022

This course was amazing since it explain R to me in an easy way, I don't know anything about R before. This course gives me a good starting and builds a foundation for my subsequent R learning and certification in data analysis using R. The learning process flow was excellent, it picked up what you need without digging deep into the language, and it was a great strategy, by the way, since we share our findings through Tableau, I think if the course was included how we can integrate the power of data analysis and visualization of R within the power of Tableau, so I think this will be useful.

Thanks Google for this wonderful trainning cource

By Tracey

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Jan 16, 2022

I absolutely love the diversity in the presenters for each of these courses in the program. The presenters were very knowledgeable but were excellent in breaking down the information in a beginner-friendly manner. There was so much content, but possible to learn and understand. I really loved the interactive lessons that gave the learner the plenty opportunity to practice the new content within each lesson. I really enjoyed this program that helped me to learn what I needed to learn without feeling overwhelmed. It was also extremely helpful that the design of the new information was always presented in a manner that real-world applications.

By MOHD D

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Apr 9, 2023

After putting in a lot of hard work, I'm excited to say that I have achieved my goal of becoming a data analyst."

This is one of the best courses, thank you for everything

"I was thoroughly impressed by the 'Data Analysis with R Programming' course on Coursera. The course covered a wide range of topics in data analysis, from data manipulation to statistical modeling, and provided hands-on experience working with real-world datasets. I found the course to be engaging and comprehensive, and would highly recommend it to anyone looking to build a strong foundation in data analysis and programming."

By Daigo T

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Jul 11, 2022

I recommend this course. This was the best course for me to learn R basics. I had zero knowledge before taking this course. After completing this course, I felt confident carrying out basic data analysis processes (e.g. data clearning, data analysis with graphs and charts, visualization functions). Thank you so much Google team for designing this wonderful course. I am happy that I had started leraning about R with this Google course. All the course contents were made "digestable" for somebody like me. The course instructor was also encouraging thorughout the course. Many thanks :)

By Saniya K

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Sep 6, 2023

I loved this course. Initially I thought its very difficult and the course is not thoroughly been explained. However, with time I realized that learning anything new requires some time to get hold of the topic. And this course was the step towards inculcating all the basic aspects of R that one needs to be known. So, I'm very grateful first for the lecturer to come up with this course and who taught us precisely, second to the Coursera for having this course and giving people like us a chance to learn anything and on top of that to get the certificate as well. Thank you so much!

By Heidi A G

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Jul 6, 2022

This was excellent! Very wll done.

I have a lot of experience as an analyst and have used a number of different analytical tools and platforms. I think this module could be intimidating for less experienced professionalsl or for analysts who don't want to get in to "programming". I think the course did a lot to alleviate any concerns.

That said, I'd be interested in undertanding how many of those working to achieve the certificate drop out with this course because it is beyond what they "expected".

For myself, I had a passing familiarity with R, but am now a convert.

By Adnan S

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Jul 5, 2023

One of the best courses for beginners who want to learn Data Analysis with R Programming. This course is highly recommended for beginners as it provides a comprehensive introduction to R programming and covers various topics related to data analysis, including data manipulation, visualization and statistical analysis.

The course is taught by an experienced instructor and includes hands-on exercises and projects to reinforce the concepts learned. It also offers practical examples and real-world datasets to help learners apply their knowledge in a practical manner.

By Bryan H

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May 26, 2022

I found this to be one of the best courses thus far. I thought the course was well structured. The introduction to R set the stage as to why this program is used and what results it will produce. The instructions on how to execute R were very well laid out. I finished this program with a very great understanding of R. I also feel as if I have a strong foundation on how to use this program. I am comparing this course to the courses on learning SQL. I felt when learning SQL we just learned how to write queries instead of first understanding why we use it.

By Rais H

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Jun 3, 2024

Have a nice day, my teacher. Thank you for this course. This is nice work, teacher! I have completed this course, which is like full gratification! Employers appreciate these kinds of classes and can appreciate what's needed. I have developed during my learning. There is an opportunity to feature this project in my portfolio and add details to illustrate my rational thinking and skills. My recently completed course would look great on my profile. I appreciate you, and I am very grateful for the knowledge that you give to people.

By PAKOLU G G

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Feb 8, 2022

The course covers practical issues instatistical computingwhich includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.

R plays a very important role in Data Science, you will be benefited with following operations in R. You can run your code without any compiler – R is an interpreted language. ... Hence, R is powerful and faster than other languages. Statistical Language – R used in biology, genetics as well as in statistics

By Francisco B

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Nov 12, 2023

I took R about three years ago through UC Berkeley Extension. I expected to complete this course as part of the Google Analytics Certification without many more new things to learn. I was extremely happy to discover new features and techniques specifically aligned with my current work. This course has a good pace, excellent examples, and a resource library that is updated and relevant to today's challenges. I highly recommend this course. The instructor was very good in explaining features and best practices.

By Jonathan L

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Jul 6, 2022

Great Intro to using R, RStudio and various common libraries in R. This course is not a deep dive, but instead covers the basics of using the R language, reading in data, doing data cleaning, "tidying", transforming, and finally visualization and reporting. Giving exposure to all these steps, end to end is highly valuable, because a student can complete work from accessing a data source all the way to creating a report. Many helpful links are provided to learn and practice more, which is also very helpful.

By bishal b

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Jul 2, 2022

This course is ideal for anyone starting into the field of Data Analytics.Most importantly, it prepares you for the mindset and approach required for a data analyst role.There are lot of hands-on exercises to make you confident that you are learning and retaining new skills and encourages you to carry on.There are hundreds of links for resources and websites which can be explored to gain more knowledge .The videos by Google professionals sharing their experiences also give you insights into real time work.

By Emirhan B

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Sep 26, 2021

This one was really good. It's basic I know but still gave a lot of insight on how to use a superb platform like RStudio for almost anything ranging from "book writing" to complex data visualizations by writing and executing simple codes. I loved this, and didn't want it to end, so I slowed my pace down a bit in this course. Thanks to Carrie! She was a good speaker and covered very important points. I now hope I can find a job where I can use what I learned in this course, and of course, beyond...

By Eyaya B

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Jun 27, 2022

It is really difficult to learn specially for those who do not have programming language skills before. But, it is attractive easy to follow and cna be mastered if a significant time and energy is invested on it. The packages do have sample datasets and exploring and working with these datasets can open the door wide and help to break the ice and go forward. There are ample and pertinent R community for help if any kind of problem happens while coding. Generally I found it very very interesting.

By Elham H

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Jun 27, 2021

Carrie is very good instructor as the beginning of the course I felt disappointed and understand nothing and I thought that R is very complex programming language, but by the end of the course I found it very interesting easy programming language , I recommend it for everyone to learn R and take this course, for me I learned R programming language, R Studio , R Markdown , Making Reports and Visualization using ggplot2, and more that helped me to be high skilled as a future data analyst.

By MAHHIN G G

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Mar 15, 2024

This was truly an amazing course; the instructor was one of the most exceptional ones throughout the course. There was a lot of effort done to help us grasp the R language, be it the graded activities, practice quizzes, or anything else. In other words, this course had everything Course 5 did not have. Where we were barely able to learn about SQL from the course, we were able to grasp a good amount of information on Myriad, and even that sunk in. Kudos to the instructor and team!"

By Thessa D

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Oct 14, 2022

Course 7 (Data Analysis with R Programming) of the Google Data Analytics Program has been a great introduction for me to R. The instructor, Carrie, is very knowledgeable of R and I could tell that she truly likes what R is capable of and was able to share the best things about it. I feel more confident in using R in my future analyses projects and what was imparted in this course and the tons of resources provided will definitely help in me in my future endevours.

By EARL J M

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May 7, 2023

I just wanted to express my appreciation for the incredible learning experience I had with the course instructors. Their detailed and step-by-step approach to teaching the material was impressive. The course structure was well-planned, with each lesson building on the previous one, making it easy to follow along and understand. The instructors were knowledgeable, patient, and supportive throughout the entire program. Thank you for a fantastic learning journey.

By Temidayo A

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May 20, 2022

This is my first time taking a programming course and running it to the very end. I love the way Carrie literarily carried me through every step of the way. R programming really helps you clean, organize, manipulate and share your reports with your stakeholders and fellow Data Analysts.

This particular course on R programming will set you on a journey with the right perspective into other programming languages that will support you in your Data journey.

By Dr. G S

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Jun 2, 2023

In the beginning I had reservations because of past reviews, but the course gave a good introduction to R and the possibilities it offers. Occasionally the examples shown were not easy to follow, as not all information was presented. But it encuraged to dive into the subject to come to a solution. The readings with the resources mentioned are very good. And I followed the advise to create a notebook. This was very helpful. Thank you.

By Edgar O L C

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Mar 22, 2023

Buen curso, sin embargo en el examen final hay algunos errores pues no compila los códigos de buena manera,

el curso en general cubre lo necesario para realizar las mismas actividades que se enseñan con SQL y excel, y las gráficas que se pueden generar , es bueno ya sea que sepas algo del R o si eres totalmente nuevo seguro quedaras satisfecho, muestarn las principales librerias para ejectutar analisis de datos lo cual yo no conocía