Practice Skills for Data Analysts

Date:

09/02/2016

Organised by:

The University of Manchester/The Cathie Marsh Institute (CMIST)

Presenter:

Laurence Lessard-Phillips

Level:

Entry (no or almost no prior knowledge)

Contact:

Jackie.Carter@manchester.ac.uk

Map:

View in Google Maps  (M13 9PL)

Venue:

Humanities Bridgeford Street Building

Description:

This is a foundation course for participants with no previous experience in statistics or statistical analysis software. It will introduce key concepts such as: cases, variables, values and levels of measurement.

A component of the course is the use of SPSS in hands-on sessions. By the end of the day, participants will be able to open a data file, to do basic manipulations to the data, to produce descriptive statistics, one and two way tables and simple graphs.

This course will provide participants with the appropriate background to progress to other CMIST courses, particularly Introduction to Data Analysis 1 and Introduction to Data Analysis 2.

Objectives

On completing the course, participants will have covered the following.

  • How to open and explore datasets.
  • Key procedures for data manipulation including sub-setting and variable recoding.
  • Procedures for producing simple descriptive statistics for all or subsets of your cases.
  • Procedures for producing graphical output.

Recommended reading

Field, A. (2009) Discovering Statistics Using SPSS for Windows. London, SAGE Publications.

Diamond, I. and Jefferies, J. (2004) Beginning Statistics: An Introduction for Social Scientists. London, Sage Publications.

Blaikie, N. (2003) Analyzing Quantitative Data: from description to explanation London, SAGE Publications.

For information about Government surveys see the UK Data Service website.

Cost:

£195 (£140 for those from educational and charitable institutions).

Website and registration:

Region:

North West

Keywords:

Quantitative Data Handling and Data Analysis, ICT and Software, Quantitative Software, SPSS

Related publications and presentations:

Quantitative Data Handling and Data Analysis
ICT and Software
Quantitative Software
SPSS

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