[R-sig-eco] Online training - Data analysis with the tidyverse

i@io m@iii@g oii phys@ii@-courses@org i@io m@iii@g oii phys@ii@-courses@org
Fri Apr 2 12:05:26 CEST 2021


DATA ANALYSIS WITH THE TIDYVERSE - Online, 19-22 July 2021
Course website: [ https://www.physalia-courses.org/courses-workshops/tidyverse/ ]( https://www.physalia-courses.org/courses-workshops/tidyverse/ )
 
 
This workshop targets researchers, data analysts, data engineers, and any professional aiming to synthetize pertinent information from raw and messy data inputs.
 
 
PREREQUISITES
 
A basic proficiency in R is required;
 
 During the workshop, we’ll work with the RStudio IDE (Integrated Development Environment), as such a basic familiarity is preferable;
 
 No prior knowledge of the Tidyverse is required.
 
 

OUTCOMES
 

 
After completing the workshop, you’ll be able to:

 -    Import into R data frames from various sources (CSV files, Excel, the web).

 -    Clean, wrangle and reshape complex data frames.

 -    Create appealing data visualizations.
 
 
 
Program
 
 
 
Day 1 (2-8 pm Berlin time)
 
 
 -    Data loading with {readr}, {readxl}.
 -    Very fast data loading with {vroom}.
 -    Introduction to web scraping with {rvest}.
 
 
 

 Day 2 (2-8 pm Berlin time)
 

 -    Using the {magrittr} pipe operator.
 -    Data cleaning and wrangling with {dplyr}.
 -    Data reshaping with {tidyr}.
 
 
 

 Day 3 (2-8 pm Berlin time)
 

 -    Data visualization with {ggplot2}.
 
 
 
 
 
Day 4 (2-8 pm Berlin time)
 

 -    Introduction to Functional Programming with {purrr}.
 -    String manipulation with {stringr}.
 -    Handling date data with {lubridate}.
 
The full list of our online courses can be found here: (
[ https://www.physalia-courses.org/courses-workshops/ ]( https://www.physalia-courses.org/courses-workshops/ ) )

 
 
Best regards,
Carlo
 
 
 
 
 
 
--------------------

Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info using physalia-courses.org

mobile: +49 17645230846

Follow us on [ Twitter ]( https://twitter.com/Physacourses )




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