SPSS Course: Introduction
Data analysis and analytics. Uncover insights and transform your organisation.
COVID-19 update: arrangement of our courses
We are now delivering courses online and in-person. Please check the delivery format of each class before enrolling.
Please note that course materials (excluding prescribed texts) are shared electronically within 48 hours of course commencement. Printing is not available.
This introductory SPSS course is for researchers and administrators who need to turn data into actionable insights with a powerful and easy-to-use database.
This course provides practical, hands-on experience using many of the functions in SPSS. You will learn basic statistical concepts and practice data analysis and interpretation.
This course will prepare you for participation in more advanced SPSS courses, or more advanced statistics courses.
Aims
This course aims to provide you with a basic introduction to many of the functions in SPSS, along with a basic understanding of applied statistics, statistical analysis and statistical interpretation.
Outcomes
By the end of this course, you should be able to:
- identify different data types
- develop a data dictionary as an essential component for data entry
- use the basic functions of SPSS
- manually enter data from paper forms
- import data into SPSS from an Excel file
- prepare data for reporting and/or analysis by cleaning, editing and modifying data
- generate summary reports, tables and charts
- apply some basic statistical concepts
- conduct preliminary statistical analyses and interpret the results
- save the necessary files generated by SPSS
- automate data analysis and presentation components.
Content
Diverse data definition and input/import
- Data types: identify whether data are string (text) or numeric (nominal, ordinal, continuous)
- Develop a data dictionary
SPSS data editor: data view and variable view
- Menus and toolbars
- Manual data entry
- Data import from external source
Data modification
- Identify and correct data entry errors
- Modify data: recode, compute, split file, select cases
Data presentation
- Basic tables, reports and charts
Data analysis
- Basic statistical concepts and terminology (mean and standard deviation, p values)
- Basic statistical tests (t-test, chi square)
Intended audience
This course is suitable for you if:
- you do not have any prior SPSS or statistical experience
- you require a refresher in SPSS.
Prerequisites
Experience with Windows-based applications such as Microsoft Word or Excel is assumed.
Delivery style
- Face-to-face, presenter-taught training in a computer lab
- Coursework consists of PowerPoint presentations followed by practical exercises
Materials
A link to access and download online course materials is provided.
Please bring a USB flash drive to class if you would like to make a copy of your work or any relevant class materials. Alternatively, you can save these to a cloud storage space or email them to your personal email address.
Features
- $50 repeat class - Conditions apply
- Expert trainer
- Small class size
- CCE Statement of Completion
<p>{block name:“Course Tagline - Data Analysis and Analytics”}</p><p>{block name:“Course Message - Business and management”}</p><p>{block name:“Block - COVID 19 updates”}</p><p>This introductory SPSS
...When | Time | Where | Session Notes |
---|---|---|---|
Wed 24 Feb 2021 | 9am - 5pm (UTC+11:00) | Room 303 - Face-to-face (CCE Building, Newtown) |
<p>{block name:“Course Tagline - Data Analysis and Analytics”}</p><p>{block name:“Course Message - Business and management”}</p><p>{block name:“Block - COVID 19 updates”}</p><p>This introductory SPSS
...When | Time | Where | Session Notes |
---|---|---|---|
Sat 01 May 2021 | 9am - 5pm (UTC+10:00) | Face-to-face (Venue TBA) - Face-to-face (venue TBA) |
<p>{block name:“Course Tagline - Data Analysis and Analytics”}</p><p>{block name:“Course Message - Business and management”}</p><p>{block name:“Block - COVID 19 updates”}</p><p>This introductory SPSS
...When | Time | Where | Session Notes |
---|---|---|---|
Wed 30 Jun 2021 | 9am - 5pm (UTC+10:00) | Face-to-face (Venue TBA) - Face-to-face (venue TBA) |
If there isn't a class to suit you, please join the waiting list.
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