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data analysis-r_2016

Data Intensive Analysis with R
Date: 17.11.2016 9:00 - 18.11.2016 16:15
Location details: The event is organised at the CSC Training Facilities located in the premises of CSC at Keilaranta 14, Espoo, Finland. The best way to reach us is by public transportation; more detailed travel tips are available.
Language: English
Lecturers: Seija Sirkiä (CSC)
Jyry Suvilehto (CSC)
Price:
  • Free for Finnish universities, universities of applied sciences and governmental research institutes.
  • Free for others.
The course materials, lunches as well as morning and afternoon coffees are free of charge.
The seats are filled in the registration order. If you have registered to this course and you are not able to attend, please cancel your registration in advance.
Additional information
This course is part of the PRACE Advanced Training Centre activity. Please visit the PRACE Training portal for further information about the course and enquiries.

Description

R is a language and environment for data analysis, and one of the most popular tools in data science. This course will give you a working knowledge of R and RStudio, the accompanying IDE, as well as an overview of some common "data wrangling" tasks and analysis methods and how to perform them using R.

The course consists of a flexible combination of lectures, examples and exercises with an emphasis on hands-on experience. If you have any data of your own that you would like to work on, you are warmly welcome to bring it along.

Learning outcome

After the course you should be able to learn more advanced R usage and figure out how to apply new methods on your own.

Prerequisites

Basic understanding of programming in general is assumed, but no prior experience with R is expected. Basic understanding of statistics is recommended.
Program

Day 1, Thursday 17.11

  •    09.00 – 10.30  Lecture & exercises
  •    10.30 – 10.45   Coffee break
  •    10.45 – 12.15    Lecture & exercises
  •    12.15 – 13.00    Lunch
  •    13.00 – 14.30   Lecture & exercises
  •    14.30 – 14.45   Coffee break
  •    14.45 – 16.15    Lecture & exercises

Day 2, Friday 18.11 

  •    09.00 – 10.30  Lecture & exercises
  •    10.30 – 10.45   Coffee break
  •    10.45 – 12.15    Lecture & exercises
  •    12.15 – 13.00    Lunch
  •    13.00 – 14.30   Lecture & exercises
  •    14.30 – 14.45   Coffee break
  •    14.45 – 16.15    Lecture & exercises

 

 

Course materials

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