# Data Management Programming and Graphics with R

## Course Information

### Objectives

This course aims to introduce the statistical language R as a
powerful tool for "data management" with which a life scientist is
confronted in his daily life. Participants will learn how to read
and manage data files, import them to R and process them for later
explorations. Will be done Emphasis on aspects such as reading and
transforming data, creating basic and advanced graphics and
accessing databases. The course includes an introduction to the use
of R as a statistical tool but it is not a course of statistical
analysis with R

### Methodology

Learning R is not complicated but it requires a lot of practice, so the
course will be eminently applied. Each week different concepts will be
introduced and resources will be provided to deepen them, as well as one
or more cases so that attendees can work them up to the next session.
The following week will be discussed the solution proposed by the
students. It is especially recommended that students make groups where
they can work with their own data. It will work preferably in a computer
room but it will be easier for those who want to install R on their
computers, learn how to do it

### Course Contents

- Session 1 Introduction to R, Rstudio and the tidyverse
- Session 2 Data visualization
- Session 3 Data Wrangling: Tidying and cleaning
- Session 4 Statistical Analysis and Modeling
- Session 5 Introduction to programming and Workflows. Wrap-up.

### Dates, Schedule and Location

The course will take place in the months of October and November 2019
in the Computer Room of the Teaching Pavilion of the Vall d'Hebron
Campus.

The sessions will be from 8 to 11 in the morning the days

- October 10
- October 19
- October 26
- October 31
- November 9th