I thoroughly enjoyed the Data Analysis with R Programming by Google course. It provided a comprehensive and well-structured introduction to data analysis using R. The course content was informative, covering essential topics such as data manipulation, visualization, and statistical analysis. The hands-on exercises and assignments helped solidify my understanding of the concepts and allowed me to apply them to real-world datasets. The course instructor was knowledgeable and engaging, and the interactive learning environment made it easy to follow along and ask questions. Overall, the course was a valuable learning experience that equipped me with the skills and confidence to perform data analysis using R. I highly recommend it to anyone interested in enhancing their data analysis capabilities with R programming.

After completing this course, I want to express my gratitude to the instructor, Carrie. I appreciate her effective teaching style, characterized by a well-balanced speaking speed that is neither too fast nor too slow. This is particularly beneficial for those of us using English as a second language. Carrie's clear and standard pronunciation enhances my understanding of the course content. She has been instrumental in guiding me through the material, making the learning experience enjoyable. Surprisingly, I found myself developing an interest in programming, despite having no prior knowledge of computer programming. Carrie's expertise and teaching approach have made a significant impact on my learning journey.

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.

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.

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!

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

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.

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."

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 :)

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!

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.

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.

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.

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.

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

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.

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.

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.

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...

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.

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.

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!"

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.

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.

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.