Basic Courses

SPSS for Windows: Basics
Get up to speed in SPSS. Learn the basics of data definition, data analysis and result presentation. Afterward, you'll have the skills to get data into SPSS and focus on analyzing the information. Plus, you'll learn shortcuts that will help you save time.

SPSS for Windows: Intermediate
Use SPSS to its fullest potential. Become familiar with how to automate your work, manipulate data files and results, and send output to other Windows applications. Learn how to merge data sets and customize your graph formats with ChartLooks.

SPSS for Windows: Basics for Health Care
Master the basics of SPSS and learn the best ways to apply it to the health care industry through specific use of healthcare data and examples. This course benefits new users and increase their efficiency of SPSS.

SPSS for Windows: Intermediate for Health Care
Designed as a complement course to the Basics for Health Care. Focus on ways to automate your work, manipulate your data files and results, and merge and aggregate data sets. Learn how to send your output to other Windows applications.

Syntax and Programming in SPSS

Syntax I: Introduction to SPSS Syntax
Focusing on the final steps of data mining, learn how to gain insight into patterns and relationships in your data using graphical models. See how to easily produce business reports that are multidimensional and share your knowledge with others.

Syntax II: Programming with Syntax & Macros
Take advantage of SPSS' rich programming language. Learn how to use programming to perform complex data manipulations and read complex files. Also, see how to leverage your SPSS work with macros to save time and effort.

Programming Using SPSS Scripts
Build SPSS script language (Sax Basic) expertly by learning the essentials. Create and execute SPSS commands, run customized SPSS analyses. Plus, you'll know how to automate the manipulation and customization of SPSS output.

Courses in Clementine

Introduction to Clementine
Master the basics of Clementine. Learn how to read, explore and manipulate data. Plus, learn how to apply machine learning techniques such as rule induction, neural networks, Kohonen networks and association rules to business data.


Data Manipulation
Tackle data manipulation techniques in Clementine. You'll learn how to combine and manipulate files, sample data, handle missing values and work with dates and sequence data.

Advanced Modeling with Clementine
Conquer Clementine's expert modeling options such as neural networks, rule induction, clustering and association rules. You'll also learn advanced modeling methods, such as meta modeling.

Survey

Survey Methodology
The practice and art of survey reseach. Learn about the methods of data collection, sampling, question writing, questionnaire design, issues of non-response and response rates and the preparation of data for analysis (but not survey data analysis itself).

Survey Analysis Using SPSS
Review the standard methods that are used to analyze survey data, beginning with simple methods, such as cross tabulations, and moving toward the advanced topics, such as logistic regression and decision tree methods.

Advanced Market Research
Highlights the advanced market research techniques available in SPSS. Conjoint analysis (planning new products and services), perceptual mapping and multidimensional scaling (understand how customers position products and services) are featured.

Product and Application Courses

eStatistics
Understand and analyze Web-log data and report on Web trends using SPSS. Analyze behavior of groups for targeting customers. Building analytical models on the transformed click streams.

Introduction to SPSS Classification Trees
Master classification, segmentation and predictive modeling by using AnswerTree's tree-based classification and regression method. Course includes a discussion of models, analyses and results interpretation.

Introduction to AMOS
Tackle SEM in the Windows environment. With AMOS' graphical, interactive path modeling, you'll use structural modeling and statistical methods to analyze social sciences research examples.

Market Segmentation
Master statistical techniques often used to support market segmentation. You'll know how to set up, run and interpret results from statistical analysis.

Presenting Data with SPSS Tables
Present your results in publication-quality tables by working with stub and banner tables as well as complex multi-page tables with multiple variables and a variety of statistics. Once you create a format you like, see how to recreate the same look consistently.

SPSS Data Entry
Learn the essentials of creating questionnaires as well as entering and checking data with SPSS Data Entry

SPSS Trends: Time Series/Forecasting
Learn a set of procedures for forecasting using time-series data. Use models while taking into account different combinations of trend, seasonality and prediction variables. Generate predicted values and standard errors, confidence intervals and residuals, then display results graphically for a complete view of the data.

Statistics with SPSS

Statistical Analysis
Understand the basic principles of several statistical techniques. In this practical course, you'll discuss when to use each technique, how to set up the analysis and how to interpret the results.

Statistical Analysis: Advanced
Gain in-depth statistical knowledge by learning the more advanced statistical procedures in SPSS. Discuss situations when each advanced technique should be used.

Advanced Techniques: Regression
Examine regression techniques used to explore the relationships between interval scale variables in detail. You'll learn when to apply techniques, how to apply them and how to interpret the results.

Advanced Techniques: ANOVA
Learn the different Analysis of Variance techniques so you can test whether the means of several populations are the same. After discussing the basic assumptions for each technique, you will check them, run the analysis and draw conclusions.