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El curso de R del Certificado de Google Data Analytics me ha parecido una excelente introducción práctica al análisis de datos con este lenguaje. Como aprendiz, valoro mucho que el contenido sea accesible para quienes no tienen experiencia previa, ya que va desde lo más básico hasta técnicas más aplicadas, siempre con ejemplos claros y ejercicios prácticos. Me gustó especialmente la manera en que se enseña a limpiar, transformar y visualizar datos usando R y sus paquetes más útiles, lo que facilita entender cómo aplicar estos conocimientos en proyectos reales. El curso también fomenta el pensamiento crítico y la comunicación de resultados, algo fundamental para presentar análisis a equipos o partes interesadas no técnicas. En resumen, recomiendo este curso a quienes desean iniciarse en el mundo del análisis de datos y buscan una base sólida y amigable en R, con recursos bien estructurados y el respaldo de una marca reconocida como Google.

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!!!

Es un curso muy completo, quizás los exámenes deberían ser un poco más prácticos y de evaluación con respecto a SQL y RStudio ya que solo te enseñan a usarlo, pero no te ponen a prueba ni te evalúan si lo hiciste bien o no como en un curso normal. Me hubiera gustado que metieran una intro a Python o Power BI ya que son ambos programas esenciales para este tipo de Certificación. Los instructores y el curso es bueno solo es necesario complementarlo con lo mencionado anteriormente. ¡Gracias!

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.