If you wish to move forward from being a R user to become a R developer, it's time to take your programming skills to the next level. This course will give you an inner perspective of R working mechanisms, as well as tools for addressing your code's issues and to make it more efficient. Once these concepts are established, whether you work alone or in team, it is very important that your code is reproducible. You will learn how to create R packages and use them as the fundamental unit of reproducible R code.

Course organization

During the first day you will quickly review the basic R objects followed by an explanation of more advanced R objects, such as environments, expression and calls. You will then analyze in details functions objects along with their structures with a focus on code clarity and style.
R as a functional programming language including the use of functionals and the purrr package will close the first day.
The second day will confront many topics. You will learn how to exploit modern computer architecture by learning about parallel computation. Furthermore, you will learn about efficient programming tools: testing, debugging and profiling. The course closes up with the explanation of R packages as a unit of reproducible code where you can include documentation and tests.

Outline

- Base Programming: environments, functions and loops
- Functionals in base R
- The purrr package
- Code style and clarity
- Profiling
- Parallel computation
- Testing and debugging
- Documenting your code: rmarkdown
- Sharing your code: github
- R packages

Cost

The cost of a 2 day course is euro 800 + VAT per person. For academic and private attendees the cost is euro 500 + VAT.

FAQ

Should I take this course?

This course is suitable for people with a solid R knowledge and that want to boost their programming skills.

What does the cost include?

The cost includes lunch, comprehensive course materials + 1 hour of individual online post course support for each student within 30 days from course date.

Is there a maximum number of attendees?

This course is structured to have a maximum of 6 attendees.

Can I have access to a discount?

We offer an academic discount for those engaged in full time studies or research and for private attendees: for them the cost is euro 500 + VAT. We also offer special discounts to members of the MilanoR community.

What should I bring?

A laptop with the latest version of R and R-Studio.

Who will I learn from?

Andrea Spanò is an Rstudio certificated instructor who has worked as an R trainer and consultant for over 20 years. He runs Quantide consulting firm and teaches at Luiss University post grad course on Big Data Management.

What language is the course taught?

This course is taught in italian. Course material is in English language.

How can I reach your place?

The course location is 550 mt. (7 minutes on walk) from Milan central station and just 77 mt. (1 minute on walk) from Lima subway station.

How can I contact you if I have further questions?

You can visit the official page or contact us at training@quantide.com