Data Carpentry for the Social Sciences in R
Date:
13/12/2018 - 14/12/2018
Organised by:
The University of Manchester
Presenter:
Peter Smyth
Level:
Entry (no or almost no prior knowledge)
Contact:
CMI Short Courses
cmi-shortcourses@manchester.ac.uk
0161 2751980
Description:
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.
Cost:
£390 (£280 for those from educational, government and charitable institutions)
Website and registration:
https://www.cmist.manchester.ac.uk/study/short/list/
Region:
North West
Keywords:
Evaluation Research, Analysis of existing survey data, Online Data Collection , Data Management , Data archiving, Data governance, Data management plans, Information management, Statistical Theory and Methods of Inference, Quantitative Software, R
Related publications and presentations:
Evaluation Research
Analysis of existing survey data
Online Data Collection
Data Management
Data archiving
Data governance
Data management plans
Information management
Statistical Theory and Methods of Inference
Quantitative Software
R