If you want to really understand what your data is trying to say, you need two things: the right technology and the right knowledge.

Everyone knows that having the best toolkit in the world won't make you an engineer. Simply having IBM SPSS Statistics' range of data analysis and data mining products doesn't make you an expert analyst. That is why Predictive Analytical Resources (PARL) run training courses; to empower our customers with the ability to make better decisions through data analysis. Our objective is to transfer knowledge to you as quickly and as effectively as possible.


IBM SPSS Statistics training course includes:

  • An experienced team of trainers
  • Excellent training facilities and hospitality
  • A full curriculum of courses for novice users and experienced data miners
  • Clear and informative course manuals included with every class
  • Scheduled Training

These courses are scheduled in advance and are available to all IBM SPSS Statistics users. The courses are conducted at our offices in Nairobi, North Star Building along Lenana road and are run on a regular basis throughout the year. Contact us for a training schedule.


Onsite Training

If your organisation has several users that will benefit from the same training course(s), then you may be interested in onsite training. The benefits of onsite training are being able to discuss your unique organisational needs within a closed environment and having the convenience of selecting the most suitable time and place for us to conduct the training.

Additionally, we can combine a selection of our standard training courses to create a customised offering that is most suitable for your needs. Onsite training can be a more affordable option if a substantial number of employees from your organisation would like to receive training as travel costs of employees are eliminated. Trainers' travel costs associated with onsite training will be for your organisation's account.


Training Courses

Are you uncertain of which training courses would be most suitable for you? To meet your varied training needs Predictive Analytical Resources (PARL) offers core and complimentary courses according to the role that you play within your organisation or as an individual.



This course is designed with the IBM SPSS Statistics beginner in mind. Get up to speed in the use of IBM SPSS Statistics and learn the basics of data definition, data analysis and presentation of your results. See how easy it is to get your data into IBM SPSS Statistics so that you can focus on analyzing the information. In addition to the fundamentals, learn shortcuts that will help you save time.


Duration: 2 days


Target Audience:


Anyone with little or no experience using IBM SPSS Statistics. Especially useful for those new to using a statistical package for data analysis or to using the IBM SPSS Statistics graphical user interface. Also recommended for those considering purchasing IBM SPSS Statistics.



None, but trainees should be fully computer literate. No statistical background is required.



  • Enter, edit and define data.
  • Access data stored in databases and spreadsheet packages.
  • Carry out basic data modifications.
  • Undertake basic exploratory data analysis and interpret the results.
  • Control the operation of IBM SPSS Statistics and manage your files and output.
  • Course Content:
  • Introducing IBM SPSS Statistics.
  • Using the IBM SPSS Statistics Help system.
  • Reading data from spreadsheets, databases and text files.
  • Using the data editor and defining variable properties.
  • Working with multiple data sources.
  • Summarizing individual variables including nominal, ordinal and scale variables.
  • Modifying data values, category, variables and missing values.
  • Describing multiple variable relationships with crosstabs and means.
  • Selecting subsets of cases.
  • Creating and editing charts.
  • Working with IBM SPSS statistics output.
  • Multiple Response Variables.

Data Management and Manipulation (Intermediate)Course overview


The focus of this two-day course is on the use of a wide range of transformation techniques, ways to automate your work, manipulate your data files and results and send your output to other applications. You will gain an understanding of the various options for operating IBM SPSS Statistics and how to use syntax to perform data transformations efficiently.

Duration: 2 days


Target Audience

Anyone who has worked with IBM SPSS Statistics and wants to explore additional data management and manipulation features of IBM SPSS software and generally increase their efficiency with IBM SPSS Statistics.



Completion of the 'Introduction to IBM SPSS' course or experience with IBM SPSS Statistics including familiarity with reading and defining data, basic uses of Recode and Compute transformations, and creating charts. No statistical background is necessary.



  • Manage and manipulate numeric data, including multiple response data
  • Manage and manipulate dates and non-numeric data
  • Manipulate files so as to achieve the desired data structure


Course Content

  • Data Management Features
  • Computing with Numeric and Alphanumeric Data
  • Computing with Date and Time Variables
  • Additional data transformations
  • Identifying Duplicates and Restructuring Data
  • Aggregating Data
  • Merging Files – Adding Cases and variables
  • Modifying Data Values: Recode
  • Modifying Data Values: Compute
  • Selecting subsets of cases
  • Visual Binning
  • Analysing Multiple Response Questions with crosstabs and frequencies
  • Working with Pivot Tables and charts
  • Using the output Management System
  • Exporting tables and charts
  • Automating IBM SPSS statistics
  • Controlling the IBM SPSS statistic environment

Course Overview

This is an application oriented course and the approach is practical. You'll take a look at several statistical techniques and discuss situations in which you would use each technique, the assumptions made by each method, how to set up the analysis using IBM SPSS Statistics as well as how to interpret the results.


Duration: 2 days


Target Audience

Anyone who has worked with IBM SPSS Statistics and wants to become better versed in the basic statistical capabilities of IBM SPSS Statistics Base. This course targets those with limited or no statistical background. The course is also an appropriate refresher for those whose main statistical experience was gained many years ago.



Completion of the courses, 'Introduction to IBM SPSS' and/or 'Data Management and Manipulation' or experience with IBM SPSS Statistics including familiarity with opening, defining, and saving data files and manipulating and saving output.


Course Content

  • Introduction to statistical analysis
  • Data Checking
  • Describing Categorical Data
  • Exploratory data analysis - Scale data
  • Probability and inferential statistics
  • Comparing Categorical variables
  • Bivariate plots and correlations - scale variables
  • Mean differences between groups: T Test
  • Introduction to regression
  • Mean differences between groups - one factor ANOVA
  • Introduction to multiple regression

Course Overview

In this three-day course you will learn some of the more advanced statistical procedures that are available in IBM SPSS Statistics. You will be introduced to several advanced statistical techniques and discuss situations when each may be used, the assumptions made by each method, how to set up the analysis using IBM SPSS Statistics and how to interpret the results


Duration: 3 Days


Target Audience

Anyone who has worked with IBM SPSS Statistics and wants to become better versed in the more advanced statistical capabilities of IBM SPSS Statistics. It is also for anyone who has a solid understanding of statistics and wants to expand their knowledge of appropriate statistical procedures using IBM SPSS Statistics.



Completion of the course, 'Introduction to Statistical Analysis using IBM SPSS', or similar experience. Having a good basic statistical knowledge would be advantageous.


Course Content

  • Discriminant analysis
  • Binary logistic regression
  • Multinomial logistic regression
  • Survival analysis: Kaplan-Meier and Cox Regression
  • Loglinear models
  • Cluster analysis
  • Factor analysis
  • MANOVA: multivariate analysis of variance
  • Repeated measures ANOVA

Using IBM SPSS for data mining

In-depth customer or constituent understanding is critical to business success. Our data mining courses provide the conceptual and practical knowledge you need to accurately track and predict customer behaviour. From the fundamentals of analytical customer relationship management to using IBM SPSS Modeler for customer analysis, you will find topics that can help you develop plans for maximising customer value.


Course overview

This course provides an overview of data mining and the fundamentals of using IBM SPSS Modeler. Using the CRISP-DM methodology, the principles and practice of data mining are illustrated. The course structure follows the stages of a typical data mining project, from reading data, to data exploration, data transformation, modeling, and effective interpretation of results. The course provides training in the basics of how to read, explore, and manipulate data with IBM SPSS Modeler, and then create and use successful models.


Duration: 3 days


Target Audience

Anyone with little or no experience using IBM SPSS Modeler or working with data mining in general.



It would be helpful if you had an understanding of your organisation's data, as well as any of your organisation's business issues that are relevant to the use of data mining. No statistical background is necessary.


Course Content

  • Introduction to data mining
  • The basics of using IBM SPSS Modeler
  • Reading data files
  • Data understanding
  • Outliers and anomolous data
  • Introduction to data manipulation
  • Looking for relationships in data
  • Combining data files by appending and/or merging
  • Aggregating data
  • Selecting, sampling and partitioning records
  • Modelling techniques in IBM SPSS Modeler
  • Rule induction
  • Automating models for categorical and continuous targets
  • Comparing and combining models
  • Deploying and using models
  • Running statistics commands from IBM SPSS Modeler
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