|Date:||14.05.2020 9:00 - 15.05.2020 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.|
|Lecturers:|| Lecturers: Jesse Harrison (CSC) and Bishwa Ghimire (University of Helsinki) |
Helper: Kerstin Lenk (Tampere University)
|The fee covers all materials, lunches as well as morning and afternoon coffees.|
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.
Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. We will cover data organization in spreadsheets and learn how to use the R programming language for data wrangling and visualization.
The course takes place in CSC's Dogmi classroom, which has a computer for every participant. For further information on the course contents and links to individual lessons, please visit the course GitHub page.
In this workshop, participants will learn:
- Good data entry practices (data in spreadsheets)
- How to navigate RStudio
- R syntax and how to write R code
- Importing and exporting data to / from R
- How to use tidyverse for data wrangling and plotting
- Using R together with SQL databases
This introductory course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Note: To participate in this workshop, you will need a Haka account and password. The course will run on RStudio instances available via the CSC Notebooks service (notebooks.csc.fi). Please contact the course staff if you do not have a Haka account.
Data Organization in Spreadsheets
- Formatting Data
- Common Formatting Problems
- Dates as Data
- Quality Control
- Exporting Data
Data Analysis with R
- Overview of R and RStudio
- Introduction to R
- Starting with Data
Data Analysis with R (Continued)
- Manipulating Data Frames with dplyr
- Data Visualisation with ggplot2
- SQL Databases and R