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Bioweek: Understanding your data with R
Date: 13.03.2019 9:00 - 13.03.2019 17:00
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: Bishwa Ghimire
University of Helsinki
  • 60 euros + VAT (24%) for Finnish universities, polytechnics and governmental research institutes
  • 280 euros + VAT (24%) for others
The fee covers all materials, lunches as well as morning and afternoon coffees.
Registration by 20.02.2019 12:00
The seats are filled in the registration order. If a cancellation is received five (5) business days prior to the course, the course fee will be refunded with the exception of a handling fee of 10 €. For no-shows and cancellations after the cut of date no refunds will be made. Registration can be transferred to someone else from the same organization without additional charge.

Payment can be made with electronic invoicing, credit card, or direct bank transfer. Note that for electronic invoicing you need the operator and e-invoicing address (OVT code) of your organization. Please also note that invoice reference is needed for electronic invoicing in your organization, so please have this available when registering.
Additional information

The course is mainly targeted for biologists who need to get started with R for bioinformatics data analysis in the future. The course consists of R basics, data manipulation, making basic plots and more advanced visualizations.

The course content of the first session will be made available to the participants to familiarize with R basics before the course. 

Learning outcome
After the course the participants will have better understanding of data structures in R, be able to manipulate and convert the data to required format. Participants will also be able to understand their data better by using suitable visualization techniques.

It is recommended to go through the session-1 course material before the course to familiarize oneself R basics.


9:00 Session 1: Getting started (R basics)

10:00 Coffee break

10:30 Session 2: Data Manipulation

12:00 Lunch

13:00 Session 3: Basic visualization techniques

14:30 Coffee break

15:00 Session 4: Advanced visualization techniques

Course materials

Projects and Collaboration Networks
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Projects and Collaboration Networks
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