Excellent base knowledge for R programming aimed at data analysis delivered in an easy to follow manner and at a reasonable cost. The course not only gives the student a good start but also provides lots of accessible resources and tips to move from a novice R programmer towards mastery. Remarkably, everything worked, I write this because I have attempted to follow instructions for such things as downloading programming ide's in other online courses and found them outdated, not so here. Everything is current and up to date. I think any student with average grades in the past can work through this course, perhaps repeating sections at times, and find themselves fairly R proficient in a timely manner. Personally with two hours effort every morning while my pre-schooler was still asleep I was confidently coding in less than a month (while using an old outdated Chromebook I bought for $100, not necessary to invest thousands in a new computer).

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!

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.

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 :)

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.

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.

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

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 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.

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.

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.

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.

It was a great course! Even though I had learned R before, this course showed me a lot of new things, while keeping everything really simple! Carrie is a great instructor and she made sure that the course remained interesting throughout! The exercises in this course were top-notch as well, helping any one - beginner or otherwise, understanding the concepts of R in a great way!

Earn a certificate to help me find a job. Learn skills to help me advance in my current job. Learn skills to help me find a new job. Go beyond my current coursework in school. Get extra help in this subject areaMeet and get to know people who are also interested in the subject area(s). Learn more about a subject I’m interested inNone of the aboveDecline to state.

It might be a bit fast paced for beginner or first time programmers but with some perseverance / repeated visits of the videos and material, you will certainly gain a lot. Do not forget to ( 1 ) take notes during the video sessions, and ( 2 ) patiently practice with all the hands-on exercises if you want to get a real benefit from the course. Instructor is great.

I​t is very interctive course, I learn a new language and visualization . The way to provide the session and activity is awesome because all these things let us know that whteher we are going in right direction or not , how much we learned . The weekly challenge is also awesome , it makes us to remind and revise all the things that we studied. Thank you !

I loved this course so much. It was easy and wonderful one and the instructor was awesome. I didn't love programming languages but during this course and after completing it I love programming languages and seek to improve them by learning more about R and Python to be a great data analyst in the future. Thanks so much for this course and the instructor.

The module for study R was very productive for me. I realized I love the method and application in using R. I had always questioned what "notebooks" were, how those creating visualizations were able to go a bit beyond the tools of Tableau to created unique shapes and backgrounds on their charts and dashboards. Now I do!

Great class!

Comprehensive guide for beginner to learn R Programming.

There are links to a lot of readings, of which, recommend to make it mandatory, and to be included as part of the sylabus to improve the quality of candidate completing this course. Nevertheless, this will increase the time required to complete this certifications substantially.