Public Professional Training Courses | 2 Day Course
Applied Basic and Intermediate Statistics
In IBM SPSS Statistics, you can work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics, and machine learning models. You can create publication-ready charts, tables, and decision trees in one tool. IBM SPSS Statistics is easy to use, provides analysis automation, comprehensive statistical tools, integration with open source, and help at your fingertips. Recent changes have also included a complete visual and statistical overview of data in a new tab within the user interface.
To improve your experience using IBM SPSS Statistics, the Version 1 SPSS experts provide Statistics training, offering both express and longer courses. Training can also be customised for individual users and groups. Investing in training improves and extends your knowledge of statistical analysis and machine learning methods and maximises your usage of this powerful tool.
IBM SPSS Statistics is a comprehensive statistical platform. Users can bring data into Statistics, examine it, transform it, and run basic and advanced statistical analyses. To understand how to run and interpret applied basic and intermediate statistics in IBM SPSS Statistics this course will cover:
- Introduction to Course
- The Influence of Sample Size
- Data Checking
- Describing Categorical Data
- Comparing Groups: Categorical Data
- Exploratory Data Analysis: Interval Scale Data
- Mean Differences Between Groups I: Simple Case
- Mean Differences Between Groups II: One-Factor ANOVA
- Mean Differences Between Groups III: Two-Factor ANOVA
- Bivariate Plots and Statistics
- Introduction to Regression
Course attendees will receive a manual and sampled data files at the completion of this course.
Best for: Those who are interested in basic and intermediate statistics
Upcoming Dates
28th January 2025 (2 Days)
Online
13th May 2025 (2 Days)
Online
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Version 1’s SPSS Team offers a wide range of training courses for statistical analysis, survey research and data mining/predictive analytics.