Data Carpentry: From Data Wrangling to Data Visualisation

In Person

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. 

This course will cover the following topics: 

• Data Organisation with Spreadsheets 

• Cleaning Datasets with OpenRefine 

• Introduction to Data Analysis with R Studio  

Course Schedule:  

17 October, 14:00 - 17:00 

• Data Organization in Spreadsheets 

18 October, 14:00 - 17:00 

• Cleaning Data with OpenRefine 

19 October, 13:30 - 17:30 

• Intro to R and R Studio  

20 October, 09:00 - 13:00 

• Data Analysis and Data Visualisation with R 

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. Participants must have a few specific software packages installed: click here for setup instructions. PLEASE COMPLETE SETUP IN ADVANCE OF EACH RELEVANT SESSION.  

For full details of each session, visit the course webpage. 

This is a beginner level event, and no previous knowledge of the method is required.  

If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event. 

If you're interested in other training on Data Wrangling and Data Visualisation, have a look at the following:

• How to Generate Good Data Visualisation with R (18/11-25/11)
• Introduction to QGIS and Geospatial Data (17/11-01/12)
• Silent Disco: Cleaning Data with OpenRefine (23/11)
• Writing Efficient Code in R: Logical Statements and Loops (07/12)
• Intro to Databases with SQLite (13/12)

Return to the Training Homepage to see other available events.