Data Science with R and R Studio

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Try Out - Postgraduate course

Introduction to Data Science with R and R Studio

Thursday 14 - Friday 15 November 2019

Scope

The aim of this course is to provide an introduction to data science, using R and R Studio. In contrast to our PhD course "Introduction to R for Statistical Analysis", this course does not focus on statistics, but on data science. It introduces the participants to R language syntax, to enable them to write their own R code. They will also learn about R data-types and data-structures, and they will be taught how to explore the data and produce plots. This is the first module in a series or courses in Data Science with R, covering many different subjects, from cleaning up datasets to creating interactive and reproducible reports with transferable skills that would apply to any scientific/business domain. The course will be a combination of lectures and practicals.

Learning Outcomes
  • Getting familiar with the R language environment.
  • Introduce participants to R Studio, an advanced environment for using the R language (scripts, projects, customizing R studio).
  • Participants will get to know the R language syntax, how to write proper code for solving a given problem. They will learn how to work with variables to store data, and how to apply functions to data.
  • Participants will obtain a strong foundation on the R data-types and data-structures (vectors, matrices, lists, data.frames) and how to properly work with them (access data, modify, filter). A good foundation of R data structures is very important for progressing in R for Data Science.
  • Participants will learn the plot functions with base R, e.g. scatter plots, bar plots, box plots, histograms. They will learn how to use plot functions for exploratory data analysis (outliers, correlations, missing data). Participants will also learn how to customize plots (labels, colors, legends, margins) and export them for publications.
  • Participants will learn how to import and export data and will get to know the test datasets that R provides for practicing their skills.
  • Participants will learn how to get help from the R help system and documentation. They will be able to deal with many common errors and will learn which sources to use to get more help online (official R documentation and forums).
Course setup
  • Q1: Introduction to R and Rstudio
  • Q2: Vectors and data types
  • Q3: More vectors and matrices
  • Q4: Data.frame
  • Q5: Importing and saving data
  • Q6: Basics of plotting data
  • Q7: Editing plots
  • Q8: Getting help
General information
Target Group The course is aimed at PhD candidates, postdocs, and academic staff
Group Size 24 participants
Course duration 2 days
Language of instruction English
Frequency of recurrence To be determined
Number of credits 0.6 ECTS
Lecturers Ioannis Baltzakis, Alejandro Morales Sierra
Prior knowledge No prior knowledge of R is expected from the participants
Location Wageningen University Campus
Options for accommodation Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For information on B&B's and hotels in Wageningen please visit proefwageningen.nl. Another option is Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Finally, there are a number of groups on Facebook where students announce subrent possibilities and things like that. Examples include: Wageningen Room Subrent, Wageningen Room Sublets, Room Rent Wageningen, and Wageningen Student Plaza. Note that besides the restaurants in Wageningen, there are also options to have dinner on Wageningen Campus.

 

Fees 1
  EARLY-BIRD FEE 2 REGULAR FEE 2
PE&RC / WIMEK / EPS / WASS / VLAG / WIAS PhD candidates with an approved TSP € 100,- € 150,-
All other PhD candidates
Postdocs and staff of the above mentioned Graduate Schools
€ 240,- € 290,-
All others € 340,- € 390,-

1 The course fee includes coffee/tea, and lunches. It does not include accommodation (NB: options for accommodation are given above)
2 The Early-Bird Fee applies to anyone who REGISTERS ON OR BEFORE 4 NOVEMBER 2019

Note:

  • If you need an invoice to complete your payment, please send an email to office.pe@wur.nl, including ALL relevant details that should be mentioned on the invoice (e.g., purchase order no., specific addresses, attendees, etc.).
  • The Early-Bird policy is such that the moment of REGISTRATION (and not payment) is leading for determining the fee that applies to you.
  • Please make sure that your payment is arranged within two weeks after your registration.
  • It is the participant's responsibility to make sure that he/she (or his/her secretary) completes the payment correctly and in time.
PE&RC Cancellation Conditions
  • Up to 2 (two) weeks prior to the start of the course, cancellation is free of charge.
  • Up to 1 (one) week prior to the start of the course, a fee of € 100,- will be charged.
  • In case of cancellation within one week prior to the start of the course, a fee of € 240,- will be charged.
  • If you do not show at all, a fee of € 340,- will nevertheless be charged.

Note: If you would like to cancel your registration, ALWAYS inform us (and do note that you will be kept to the cancellation conditions)

More information

Dr. Lennart Suselbeek (PE&RC)
Phone: +31 (0) 317 485426
Email: lennart.suselbeek@wur.nl

Registration

To register, please enter your details below and click "Register".