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Bioweek: Data visualisation using RStudio and ggplot
Date: 06.02.2018 9:00 - 06.02.2018 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-language
lecturers: Seija Sirkiä
Price:
  • 60 for-finnish-academics
  • 280 for-others
The fee covers all materials, lunches as well as morning and afternoon coffees.
registration-closed
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
Content: seija.sirkia@csc.fi
Practicalities: event-support@csc.fi

In this course you will learn how to clean up, manipulate and visualise your data using the efficient workflows available in RStudio and the tidyverse packages. These central data science skills are usually also called data wrangling and exploratory data analysis.

Knowledge of basic R programming is assumed: you can get to the expected level e.g. by working through the "Introduction to Base R" Jupyter notebook on your own time, or by participating in the corresponding course (also part of Bioweek).

You can find the course material in the github here: https://github.com/csc-training/wrangling-with-R

 

Bioweek

…is a weeks worth of courses assembled especially with bioscientists in mind. Participate in all of them, or just pick the ones you find most interesting!

5.2. Introduction to base R

6.2. Data visualisation using RStudio and ggplot 

7.2. Computing intensive bioinformatics analysis on Taito  

8.2. Using cPouta cloud in bioinformatics 

9.2. Single cell RNA-seq data analysis using Chipster 

Course materials