SS
The course was good and the videos explained the topic very well and the content was indeed very nice..thanks for providing such a good course
In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another data visualization package for R called Leaflet to create map plots, a unique way to plot data based on geolocation data. Finally, you will be introduced to creating interactive dashboards using the R Shiny package. You will learn how to create and customize Shiny apps, alter the appearance of the apps by adding HTML and image components, and deploy your interactive data apps on the web.
You will practice what you learn and build hands-on experience by completing labs in each module and a final project at the end of the course. Watch the videos, work through the labs, and watch your data science skill grow. Good luck! NOTE: This course requires knowledge of working with R and data. If you do not have these skills, it is highly recommended that you first take the Introduction to R Programming for Data Science as well as the Data Analysis with R courses from IBM prior to starting this course. Note: The pre-requisite for this course is basic R programming skills.
SS
The course was good and the videos explained the topic very well and the content was indeed very nice..thanks for providing such a good course
SS
great i learned alot and practice many things in a different way,thanks coursera
AO
Great content. However, i think the labs should be more detailed
JK
Good course skills training and application introduction, applied sciences.
SK
I​t is an amazing course. But you should know the basics of the Rstudio and it's layout.
TS
high efficieny course which provide knowlegde about the course .
CW
The material is presented in "pieces" that are too large. There is a basic understanding of R that needs to be built prior to using the visualization tools.
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The course was well-structured, informative and easy to follow. One suggestion for improvement I have is that a cheat-sheet or catalogue of sorts be provided within the course, which collates all the coding and syntax from the course onto one single space. This is especially helpful while taking up the course as part of the specialization series. It isn't easy to remember precise code syntax after just one or two uses of a function. As I progressed through the courses in the specialization, I found myself having to return to previous courses and comb through the hands-on labs to retrieve specific codes, functions and syntaxes. This was time-consuming and wasteful, and can easily be remedied by a list of codes (with syntax) used in an entire course. Apart from that, great effort by the team, and a big thank you to the creators, developers, moderators and testers!
I cannot over emphasize how IBM courses are very relevant and yet engaging even for my busy schedule. I have gained a strong foundation in learning about data visualization in base R and ggplot2 library. More amazing is that I can create shiny dashboards and build on my foundation to create web apps with them. Thank you IBM and Coursera.
Dear Professors.
Thank you for sharing your knowledge. I learned a lot in this course, especially regarding ggplot and shiny. I got to make my first APP and this was really good. Thank you!
great course
This course is amazing; it exceeded my expectations. I learned a lot and improved my knowledge of R. While there is a lot of work to do independently, the course provides detailed explanations for every step. I found it very helpful and gladly recommend it to anyone who wants to understand the R programming language!
Me parece estupendo la metodologÃa, está diseñado de tal manera que es fácil de comprender es muy didáctico, la comprension que se obtine es muy buena y efectiva. Gracias por dar una herramienta tan estupenda y accesible a muchas personas para el desarrollo profesional y personal.
This was an amazing course. There were a lot of concepts to digest. This is probably the best course of specialization. Thanks to IBM Instructors for providing such a high quality content in an easy way.
I really enjoyed this course.
I THINK IT'S THE BEST R COURSE I EVER HAVE DONE IN MY WHOLE LIFE! HAHA!
IT'S REALLY A VERY GOOD ONE. I AM PURCHASING THE SPECIALIZATION AND TILL NOW I CAN SAY IBM IS A GOOD CHOICE ;D
The course was good and the videos explained the topic very well and the content was indeed very nice..thanks for providing such a good course
great i learned alot and practice many things in a different way,thanks coursera
Good course skills training and application introduction, applied sciences.
Great content. However, i think the labs should be more detailed
high efficieny course which provide knowlegde about the course .
Very good explanation in theory as well as practice
learnt a lot of things ..it a very good course.
Great Course material. Awesome Instructors!
It a great walk through
Content will be good
very useful course
very knowledgeble