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

Map:

View in Google Maps  (M13 9PL)

Venue:

University of Manchester

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:

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

Back to archive...