In this course, participants would learn how to use IBM SPSS Modeler to identify potential data mining applications and use data exploration techniques to model your data.

Course Content

SPSS – Course Description 

The course guides you through the fundamentals of using SPSS for typical data analysis  process. Learn the basics of read data, data definition, data modification, and data analysis  and presentation of your results. See how easy it is to get your data into SPSS so that you can  focus on analyzing the information. In addition to the fundamentals, learn shortcuts that will  help you save time.  

Course Content 

Module 1 

Introduction to SPSS from Basic to Advance 

▪ Type of Data Analysis  

▪ Types of Variables  

▪ Types of Scales  

▪ Understanding SPSS Windows (Data View, Variable View, and Syntax)  ▪ Database making, data entry and cleaning  

▪ Importing Data Into SPSS  

▪ Descriptive Statistics/Frequencies, Cross Tabulation, Graphs  

▪ Measuring Central Tendency (Mean, Mode, Median)  

▪ Generating New Variable  

▪ Recoding into same variable  

▪ Recoding into different variable  

▪ Computing  

▪ Nine Essential Commands of SPSS (Syntax Interface)  

▪ Exporting Output  


Module II 

Introduction to Advance Analysis (needs and requirements) 

▪ Hypothesis testing  

▪ Defining Null and Alternative Hypothesis  

▪ Parametric and non-Parametric Tests  

▪ T tests: One sample t test; Independent sample t test; Paired sample t-test  ▪ Chi-Square test: Goodness of fit test; Independence test  

▪ Bivariate and Multivariate analysis  

▪ Correlation 

▪ Regression: Linear regression; Multiple regression; Binary logistic regression;

 ▪ Multinomial logistic regression  

▪ Interpretation of results of advance analysis  

Duration: 2 – 4 weeks

Hi, How Can We Help You?