Practical Skills for Data Analysts
Date:
25/09/2017
Organised by:
Cathie Marsh Institute
Presenter:
Silvia Galandini
Level:
Entry (no or almost no prior knowledge)
Contact:
Map:
View in Google Maps (M13 9PL)
Venue:
Humanities Bridgeford Street
University of Manchester
Manchester
Description:
Outline
This course will show participants how to use statistical analysis software, in this instance SPSS. In the course, participants will be introduced to the SPSS environment as well as useful key concepts (such as cases, variables, values, and levels of measurement) to perform basic descriptive data analysis. A key component of the course involves getting familiar with basic SPSS data analysis commands in hands-on sessions. By the end of the day, participants will be familiar with the software; know how to open a data file, enter data, and do basic data manipulations; and be able to produce simple descriptive statistics, one- and two-way tables, as well as simple graphs.
This is a foundation course that does not require any previous experience of SPSS and that will provide participants with the appropriate background to progress to other CMIST courses, particularlyIntroduction 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.
Cost:
£195 (£140 for those from educational, government and charitable institutions)
Website and registration:
http://www.cmist.manchester.ac.uk/study/short/introductory/practical-skills-for-data-analysis/
Region:
North West
Keywords:
Descriptive Research, Data Management , Variable recoding, Qualitative Data Handling and Data Analysis, Content Analysis, Analysis of Composite Data, Quantitative Data Handling and Data Analysis, Combining Qualitative and Quantitative Approaches, Mixed Methods Approaches (other), SPSS, Practical , Practical skills , Data analysts
Related publications and presentations:
Descriptive Research
Data Management
Variable recoding
Qualitative Data Handling and Data Analysis
Content Analysis
Analysis of Composite Data
Quantitative Data Handling and Data Analysis
Combining Qualitative and Quantitative Approaches
Mixed Methods Approaches (other)
SPSS