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.

The video instructions are for the most part, instructional. The instructor has added code that was beyound theat current leasson put, it was always to introduce a new function, code chunk or structure. It's been useful to go back and revisit some video, as one progresses through the weeks, there inevitably are snag(s) that can be better understood by previous instructions.

At times there where the Practice Quiz - Hands-On Activity seemed not to be purposeful or clearly define in it's intended direction. A few times as I completed a course I better understood the Hands-On Activity?

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!

This course is very good for a beginner like me, however there are still missing a lot. Also this is a nice source of information for future more advanced study. The one problem which is annoying is that at each practice video they remind you to download pack and install pack. You do not need to do that every time. A remind to just load pack should be more than enough and the rest of time present more active practice. So I think there is too much repetitive information instead of giving you new information. But at all it is a good course.

Although, I was familiar with R following several courses I have taken prior. However, the R Programming course from Google bettered my understanding about R as it begun with the basics which are the foundation to build my skills in R. Now I know why I write certain codes and functions within a syntax. Also, I now see that I could apply R Markdown to my everyday stuff such as making presentations, building reporting templates, building CVs and creating dashboards. This is an awesome experience for me!!!

On the overall, the course tried the cover most of the basic aspects of data analysis skills in R programming. It is advisable that the students has some very basic fundamentals of R prior to this course (e.g. what is R and RStudio etc.) because the first few lessons are not very practical in terms of hands-on programming but mostly explanations and theory, nevertheless catches up quite well afterwards. The time length of the course and the examples covered are quite satisfactory.

When I tried to follow along with the instructor, some of the code examples didn't work. I looked up the issues and found solutions to why the exact code snippet didn't work. I think it is a good foundational course to get an idea of how the R programming language works. I don't expect code snippets to always work when following along with anyone. I actually learn more when I get errors when learning a new programming language.

As usual for the G Analytics Certificate, a lot of material, exercises, videos and external links. Sometimes I feel lectures and readings were in the wrong order... knowledge required for a lesson reading was actually explained in the next one. Other than that, I feel like I got everything I need to start using R. Even though it's clear I absorbed only a small chunk, it feels like a complete body of knowledge, a solid base.

I was very skeptical of this program when I started. I am so happy I did this. I have learned a new skillset. I learned a lot more then I thought I would and I hope to move on and be one of the sucesful people who completed this course.

It was a bit rough with the last part. The sublamental reading was a bit confusing, but I think this is a great program to get your feet wet in the feild of data anylatics.

While the majority of the course covered a lot of information I did come away with feeling as though not all topics were covered with as much depth as possible. Virtual learning can be difficult to craft but depth of topic needs to be insured when this approach is the only option. Perhaps more proof of work is a solution that should be added to this course. I did feel it was lacking in that regard.

Could have been better and tons of time would have been saved if the whole Course was made in two parts like : Course 7 Part A and Course 7 Part B for the people who "Don't Know about Programming and/or R" and "Know about Programming and/or R", respectively. And if a list was added stating all the packages been used in the whole Course along with their uses. Rest everything was amazing.

It was a good introductory course. I think, to truly benefit, one needs to have some level of education in statistics. Its easy to create scatterplots and trendlines with ggplot, but how can knowing that without knowing what linear regression is or what loess smoothing is, really helpful. This isn't a stats course, but I think more reading material should have been provided.

This course, similar to the other courses I have done as part of the Data Analytics Certificate series provides an overview of R programming, data analytics process and visualization. I come away with insights I did not have before around all of the above, and especially using R programming. It is a lot to take in, which I hope to consolidate as time and opportunity allow.

As programming can be complex, I wished we had more hands-on activities focused on importing and filtering data. These two were covered the least yet without them, it is hard to proceed to the next step. Mistakes can be easily made, barring you from proceeding to the next step. More opportunities to practice would be greatly appreciated to help us commit steps to memory.

I appreciated instructors work but Google & Coursera could have done a better work fixing the issues. Week 5 video refers to the file that is not available to the learners : ggplot_hook. The video also has audio issues closer to the end. I know that this issue was first reportes a year ago based on the discussion board. It's sad how it hasn't been fixed after a year.

Dispite that I have background in R, but this course provide information in easy steps, straighth forwards, to the point with sufficient required info for R without loading too much uncessary knowledge for biggeners. I believe thr R Markdown to be revisited to be enhanced and to renove duplcaite materials. In general, it is a wounderful course.

It is a good course, easygoing. But I have one point: add a section where you work with more than one dataset. Where the datasets are joined and connected in a certain way. Then show us how to solve issues where we need both datasets to figure out the answer. All that being said, the course is a great first step to start learning R. Thanks!!

Good basics, very vomprehensive learning materials, lots of very useful links.

It was not clear though how deep and detailed we should learn the actual coding. It was a bit of embarrasment, that based on the exam this was really just to scratch the surface. It would have been nice to get much much more coding exercises and practice sessions.

Unfortunatelly I can't give five stars because the course it is not updated. In the community messages there are a lot of " yes we have to updated" but months passed and still not updated. This is not serious, we are making an effort (personal and economic) to deal with it. It's a pity. The rest very good and the trainer very good too.

Great course to learn some basics about R programming, the information and the lectures and extra links and readings provided were vey useful, you have enough information and you can easily revisit anything you want, in order to improve your knowledge. I would recommend specially if you want to be involved in statistics.

Especially given that many of the earlier units utilized R Markdown files, I feel like the lessons on R Markdown should have been earlier in the course, and not saved until last. Otherwise, I feel like this course did an excellent job of providing a foundation in R Programming, and the resources provided were fantastic.

It great Courser for someone who is a beginner and wants to learn R. The hands-on experience that is provided in this class is very useful and helps a beginner to understand. The person need not be from Coding background to take up this course. The course material is easier to understand and follow.

I think this course is a great starting point for those who want to get into Analytics, it provides you with the skills needed for future job employment. I appreciate the time and effort put into this course, I hope others will see the benefits and skills from this course. Well Done!!!

This course Data Analysis with R Programming was excellent and gave an overall idea for a beginner and the classes and tutorials were awesome. It would be better if some projects are also covered in the course work that focuses on cleaning of null values and manipulation of outliers.

The course was worth it. I love the concept of financial aid . But there are some things that need to be sorted out. There are some topics which seems difficult to me and did not find the videos as useful to clear my doubts. But overall I love the course. the idea and the teacher.