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.

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.

I would like to express my heartfelt gratitude for the incredible "Data Analysis with R" course. The course provided a comprehensive understanding of data manipulation and visualization techniques using R. The hands-on exercises, videos and insightful lectures enriched my knowledge and boosted my confidence in applying these skills to real-world data analysis challenges. Thank you for the opportunity to learn and grow in this essential field!

This course has been a game-changer for me in understanding the basics of R. It’s helped me learn how to work with data more effectively and create clear, visually appealing representations. The lessons and hands-on practice made everything click, and now I feel much more confident using R to analyze and present data in a way that makes sense. I’m excited to apply these skills to real-world projects and take my data work to the next level.

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.

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

When I started the course I was very worried about the difficulty of programming, it was a success that Google selected an instructor who was not a nerd, they selected an employee who had learned R from scratch in Google, that gave me the courage not to abandon the course, I thought if she could learn, I could too. The R course is basic, but very well structured and gives the opportunity to continue advancing, I loved the course.

The Data Analysis with R Programming course is well-structured and provides a solid foundation in R Markdown, data visualization, and report generation. The hands-on activities and quizzes reinforce learning effectively. The explanations are clear, and the practical applications make it easier to understand real-world data analysis scenarios. Highly recommended for beginners and those looking to improve their R skills!

An easy to understand way of introducing a Programming language to a non programmer. The Instructor did a good job of preparing ones mind of the possible fussy time when it seems confusing using R but will be clearer with much practice. I can say for a fact that the Course delivered on point. I just feel like using just R for my analysis, no more excel or SQL. Kudos to the Course instructor and those who created it.

R Language was interesting course but definitely challenging. The pass few weeks I have had a lot going on personally (home) and at work. I feel like I slacked a little do to that but I cam back with a vengeance. Even though this was more challenging for me then Tableau I have learned a lot about both R and Tableau and want to learn more as I will never give up. Thanks for the opportunity and I will do it again.

Great intro to R. The hands on activities are fantastic. Some of the material might be a little repitive for some but keep in mind that core concepts are being repeated for retention. Everyone learns differently and there is an ability to read the text in addition to watching the videos for highlights. Again great intro to R, RMD with great basic examples to follow and then use to expand the code, templates etc.

I think this is the best R programming course I have found so far on Coursera. Other courses require you to exert a huge amount of effort to learn something unfamiliar.

The Google Data Analytics R programming course enables you to learn effortlessly. By the time you finish each week's course, you have somehow internalized the content. The videos are well made and the hands on activities are fun and effective.

Good introduction to R programming, for data analyst. Includes the basic filtering and use of ggplot2 to visualize data. Also introduces markdown. Out of all the courses in the Google Data Analyst Certificate, this course is the most technical. The pacing seems to be alittle off, sometimes it is really slow and other times it is rather fast. But could just be me, who already has extensive experience with R.

The structure is easy to follow and understand, gradually from easy to difficult but don't worry, you can do it. Carrie is one of the best instructors ever and I learn lots of things from her, her advice is really useful and powerful that has encouraged me a lot - to keep learning, and finally, I completed this course, that's amazing. Thank you, Carrie, and wishing you good health and happiness always.

I found the course well structured and instructor was great - Carrie. Nice, easy to understand way of teaching, especially difficult for online mode. It was by far the most difficult course of this certification (may be because of coding) but surely it is something one can only master or learn next level by practising again and again. Foundations and basics, with learning materials have been provided.

The course is excitingly challenging, with very rich reading materials and impressive video presentations that are very close to live. The presentations on Google products like Kaggle, Google Sheets and Google BigQuery were slightly inadequate maybe due to the not very user-friendly interfaces that are rapidly dynamic. The facilitators are so real tht I was almost becoming friends with them on video.

This course was build in a very fun and interactive way. I love that you can learn at your own pace and study when you have time. The course was split into reasonable parts, which made me never lose my motivation, because I always had little goals to achive. Everything was very understandable and clear, additionally you also became some practical documents, which made my learning more efficient.

I thinks this course is very much cofortable with the people who don't have any background knowledge in R Languages. I like to thanks my instructors for Providing us this R language courses. And My learning process won't stop here I will keep grow my self. Thanks for all the team of Google Data anlyst Course who helps us in getting in demand and very valuable skill. Keep Looking never Settle.

If you are not familiar with R, then this will get your foot in the door. I highly recommend this course. It takes you step-by-step into learning R. I highly suggest using RStudio desktop just in case you cannot log online. The professor is amazing!!! She gives really good examples and encourages you to mess around with the code. Remember it's about breath not depth with this course.

There were some technical problems at the very end like one file in the video demonstration but not available (not a big thing) then the audio for chunks was breaking up at the very end but I could read the transcript and get the whole meaning. I didn't know how beautiful was R! Thank you to all the team and people that dedicated time and effort to make this course as beautiful as it is.

This course was great. Carrie was a great instructor, and all the subjects were very well explained, with no advanced content shown as it was clear for someone who was looking at R for the first time (as it happened in some SQL queries, in the previous courses). I still think you need to practice a lot on your own, to really master R, but I could keep track of the classes as they went by.