Dr. Kirill Müller (+ assistant), cynkra GmbH, firstname.lastname@example.org
|Certificate||Confirmation of participation|
Users from all professional groups who previously followed the two-day course "Data Processing, Visualisation and Reporting with R" or who already have some experience in applying the "tidyverse"-packages in R.
The course offers a deeper insight into the tidyverse, a set of modern, coherent tools to solve most day-to-day data processing, visualisation, and reporting tasks in R.
This course extends the Data Processing, Visualisation and Reporting with R course held on November 29-30, 2018 or April 1-2, 2019. Some familiarity with R and the tidyverse is needed to follow the course: participants are encouraged to review chapters 1-13 of "R for data science" by Grolemund and Wickham (https://r4ds.had.co.nz/).Highlights:
The techniques and tools are illustrated and practiced using simplified but realistic examples. After the course, participants will have hands-on experience in applying these tools. All exercises and materials will be available on a website which will remain available for reference after the course.
For all Zurich R Courses, participants should bring their own laptops to the course.
May 10, 2019
|After registering you will receive a short automatic confirmation by email. If you received this email you are successfully and bindingly registered for the course. For administrative reasons the written invoice won't be sent out until about two weeks before the course.|