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Data Carpentry for the Social Sciences

4th October 2018 @ 8:00 am - 5th October 2018 @ 5:00 pm


Organised by The University of Manchester
Presenter Peter Smyth
Date 04/10/2018 – 05/10/2018
Venue University of Manchester
Map View in Google Maps  (M13 9PL)
Contact CMI Short Courses
[email protected]
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.
Level Entry (no or almost no prior knowledge)
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, Mixed Methods Approaches (other), Quantitative Software, SPSS
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
Mixed Methods Approaches (other)
Quantitative Software


4th October 2018 @ 8:00 am
5th October 2018 @ 5:00 pm
NINE DTP - a collaborative partnership funded by the ESRC