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Overall, I felt the course was very well laid out . Most of the narrators were engaging, and the interactive lessons were very helpful (wish there were more of them!). However, there were times with each new language where it seemed like there was a missing chapter. It went from "yes, I'm following and executing," to "wait, how did we get here?" I would still recommend the course. It is a great introduction to a whole new world, and if there is a language that clicks with you than there are many avenues to explore to dig deeper. What I learned about myself through this course is that I surprisingly enjoyed learning about analytics. I will be pursuing a particular "language" that I clicked with and adding it to my portfolio as I transition into the tech world.

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.