Data Carpentry for the Social Sciences - FULLY BOOKED
Dates: 19 and 20 July 2018
Time: 10am - 4.30pm
Instructor: Peter Smyth
Fee: FULLY BOOKED
THIS COURSE IS NOW FULLY BOOKED.
This is a free course funded by and run in conjunction with Methods@Manchester, designed to give an overview of our full five-day course.
Data Carpentry workshops are for any researcher who has data they want to analyse, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.
On completion of this course, the participants will be able to:
- understand problems which can occur in spreadsheets of data
- create ‘clean’ spreadsheets either from scratch or by reformatting a ‘dirty’ spreadsheet
- use OpenRefine to clean datasets and perform basic exploratory data analysis on the data
- use SQL to summarise data and to join different data sources
- use basic functionality in the R programming language to perform basic EDA (Exploratory Data Analysis) and to create a simple visualisation of data.
- convert data formats using R
- understand the importance of documenting work for future use.
- Wickham, Hadley (2014). “Tidy Data” Journal of Statistical Software, August 2014, Volume 59, Issue 10.
About the instructor
Peter Smyth is a Research Associate at The University of Manchester, based in the Cathie Marsh Institute. He has spent 35 years working in IT at various large and small commercial organisations before taking an MSc in Big Data Analytics at Sheffield Hallam University and moving into academia. In his previous roles, he used any convenient programming environment to hand to solve problems. Now he teaches a variety of programming languages to help others to do the same.
He is a qualified Data and Software Carpentry instructor.