Questionnaire “Data Science with R” courses

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Questionnaire “Data Science with R” courses

About 2 years ago, we started a collaboration with the R Academy to offer a package of “Data Science with R” courses. So far, two courses have been developed under this programme; the “Introduction to R and R Studio” and “Tidy data transformation and visualization with R” courses. The idea is, however, to expand this range with more advanced modules focused on data science. Instead of simply developing these new initiatives, we think it is best to ask you, our PE&RC community, to provide us with feedback about the potential focus of topics in such advanced modules. These should be general enough to attract sufficient audience, but specific enough to stand out in the crowd of available courses. The R Academy itself has come up with 3 proposals that you can vote for:

 Course  Scope
 Creating web applications using R and Shiny

Shiny is an R package (and ecosystem of packages) that allows the creation of web apps directly from R. It can be used to build standalone applications, mobile apps or embed interactive reports in your documents and presentations. Aim of this course is to introduce participants to the Shiny ecosystem and show them how to approach data exploration, storytelling and communication by going beyond static reports and graphs, and create engaging and interactive data stories. 

 Intermediate R Programming

Extend the basic knowledge of R users by teaching them more advanced programming concepts and how to use R for more advanced problem solving, going beyond just statistics. This course is for participants who want to deepen their knowledge on R programming and be able to use R in their career    to deal with any sort of data and analytics related challenges.

  The "R-eal " world data workshop To prepare participants for a career dealing with data, in an actual business environment. The jump from a purely academic environment to a production environment comes with its own challenges. We aim to educate our participants in what the data lifecycle looks like in a post-academic world. Purpose of the course is to introduce participants in how to deal with common issues in a real production environment and how to communicate their insights with stakeholders within and across organizations. This course focuses on teaching the data lifecycle and how to develop a data-strategy for organizations that are interested in digital transformation. We will talk about and solve common problems that you might encounter when starting your analytics or data science career. For the hands-on examples we will be using the R programming language, and putting your R skills to practical use. The course is more geared towards building awareness of business data lifecycles and focuses less on practical R programming. R users will benefit from putting their skills to the test against some common data production workflows, but the focus will be on the conceptual nature of data in a business context and not teaching you R programming. We assume you have knowledge of how to program in R, and this course is recommended for participants who have already followed our previous courses: "Introduction to R and R Studio”, and “Tidy Data Transformation and Visualization with R”.

 

 
Registration of interest

Please indicate which of the courses would be of interest to you. We also strongly invite you to indicate alternative course topics that you would like to see developed!

 

Creating web applications using R and Shiny *
Intermediate R Programming *
The “R”-eal world data workshop *