Training

Want to learn how to build predictive models?

Join us for this stimulating, hands-on course on SPSS Modeler. Seats are limited!


Introduction to IBM SPSS Modeler & Data Mining 27-29 March

Venue Tokai, Cape Town

Fee p/person (excl. VAT) R 12 150.

CONTACT

Susan Terblanché

training@olsps.com

+27-21-702-4666

WHAT WE DO


Whether you are a first-time user of SPSS or one of its add-on modules, or just need to get back in the game, learn to do your own statistics by joining one of our popular training courses. We offer courses to suit every level of expertise. Have a look at the SPSS Training Building Blocks and course outlines below, then email the Training Manager to request a quote.

ADVANCED COURSES

Summary Statistics
Repetitive Analysis
Survey-Based Research
Diverse Topics

FUNDAMENTAL COURSE OUTLINES


BASIC USE OF IBM SPSS STATISTICS (2 DAYS)
Presented Monthly

Introduce yourself to the user-friendly environment of this powerful software product. Delegates are provided with a great overview of data understanding & preparation and how to interpret and present results. They will learn how to import data, use essential descriptive tools & charts and manipulate output. We strongly advise that this course is taken together with the Data Handling with IBM SPSS Statistics course.

The typical delegate

  • Has limited experience in SPSS
  • Has limited experience in statistical/data analysis
  • Is considering purchasing SPSS

Prerequisite(s)

  • Computer literacy

Topics

  • Introducing SPSS
  • Using SPSS Help System
  • Reading data
  • Entering and editing data
  • Using multiple data sources
  • Summarising individual variables
  • Modifying data values
  • Multiple variable relationships
  • Selecting subsets of cases
  • Creating and editing charts
  • Working with SPSS output
DATA HANDLING WITH IBM SPSS STATISTICS (2 DAYS)
Presented Monthly

SPSS offers users an extensive set of tools for data management and manipulation. In this course delegates will obtain traction in the transformation of any type of variable. They will also learn how to automate analytical processes, control data structures and manipulate cases and variables to suit any research need. We strongly advise that this course is taken together with the Basic Use of IBM SPSS Statistics course.

The typical delegate

  • Has limited experience in SPSS
  • Has limited experience in statistical/data analysis
  • Is considering purchasing SPSS

Prerequisite(s)

  • Computer literacy
  • Completion of the “Basic Use of IBM SPSS Statistics” course

Topics

  • Helpful data management features
  • Computing with numeric, string and date & time variables
  • Identifying duplicates
  • Restructuring data
  • Aggregating data
  • Merging data files
  • Multiple response questions
  • Output Management System
  • SPSS syntax
STATISTICAL ANALYSIS WITH IBM SPSS STATISTICS LEVEL 1 (3 DAYS)
Presented Monthly

Our introduction to statistical analysis gives delegates a grip on the most essential statistical concepts and common statistical techniques. At the end of this course delegates will understand when, where and how to apply them. They will also learn how to interpret the results and assess their practical implications.

The typical delegate

  • Does have experience in SPSS
  • Has limited experience in statistical/data analysis
  • Needs a refresher in statistical/data analysis

Prerequisite(s)

  • Completion of the “Basic Use of” and “Data Handling with SPSS‘’ courses
  • Familiarity with SPSS incl. opening, defining and saving data files, and manipulating and saving output

Topics

  • Data checking
  • Descriptive statistics for categorical variables
  • Comparing categorical variables
  • Exploratory data analysis
  • Probability and inferential statistics
  • Comparing multiple means: t-tests and ANOVA
  • Comparing scale variables: correlations
  • Simple and multiple regression
IBM SPSS STATISTICS INTRODUCTORY WORKSHOP FOR ACADEMIC INSTITUTIONS (1 DAY)
Presented on demand

Introduce yourself to the user-friendly environment of this powerful software product. Delegates are provided with a great overview of data understanding & preparation and how to interpret and present results. They will learn how to import data, use essential descriptive tools & charts and manipulate output. This course is a 1-day workshop for staff members and students at academic institutions. A maximum of 50 attendees are allowed. No certificate is issued for this workshop.

The typical delegate

  • Has limited experience in SPSS
  • Has limited experience in statistical/data analysis

Prerequisite(s)

  • Computer literacy, incl. mouse and keyboard skills and familiarity with the Windows environment

Topics

  • Introducing SPSS
  • Reading data
  • Variable properties
  • Summarising individual variables
  • Summarising variable relationships
  • Modifying data
  • Selecting subsets of cases
  • Creating and editing charts

ADVANCED COURSE OUTLINES


SUMMARY STATISTICS

IBM SPSS STATISTICS – CUSTOM TABLES LEVEL 1 (1 DAY)

This is a crash course on a phenomenal add-on module, designed to produce presentation-ready data tables with only a few clicks. From the simplest setup to the most complicated combination of stubs, banners, filters and break variables – every feature is covered.

The typical delegate

  • Does have experience in SPSS
  • Has limited experience in reporting on and presenting tabular research results
  • Frequently needs to produce multiple tables

Prerequisite(s)

  • Completion of the “Statistical Analysis with IBM SPSS Statistics Level 1” course, or similar experience
  • Familiarity with SPSS incl. opening, defining and saving data files, and manipulating and saving output
  • Some familiarity with SPSS syntax

Topics

  • Introduction to Custom Tables add-on
  • Simple tables for categorical variables
  • Stacking, nesting and layering
  • Totals, subtotals and categories
  • Variables with shared categories
  • Scale variables
  • Test statistics
  • Multiple response sets
IBM SPSS STATISTICS – CUSTOM TABLES LEVEL 2 (1 DAY)

This course demonstrates the advanced features of this add-on module. Delegates are shown how Custom Tables handles missing values, enables extensive formatting and editing of tables and how to move tables to other software products. Afterwards, delegates will be able to efficiently produce various types of customised tables and use the module’s unique syntax for repetitive analyses.

The typical delegate

  • Has worked with Custom Tables and would like to use its capabilities in full
  • Needs to regularly report on or publish research results

Prerequisite(s)

  • Completion of the “IBM SPSS Statistics – Custom Tables Level 1” course
  • Experience with Custom Tables

Topics

  • Formatting and editing tables
  • Missing values
  • Moving and distributing tables
  • Introduction to Custom Tables syntax
  • Using syntax for recurring analysis
  • Tips for tables

REPETITIVE ANALYSIS

IBM SPSS STATISTICS – SYNTAX LEVEL 1 (2 DAYS)

SPSS Syntax has two important purposes: automating repeated analytical procedures and accessing hidden functions. No experience with programming is required for this course. Delegates are taught to understand the basic rules of syntax and how to enhance the effectiveness of their SPSS work with this facility.

The typical delegate

  • Has experience with SPSS’ menus only
  • Needs to run repetitive production tasks
  • Needs to use and maintain SPSS syntax jobs developed by others

Prerequisite(s)

  • Completion of the “Statistical Analysis with IBM SPSS Statistics Level 1” course, or similar experience
  • Familiarity with SPSS incl. variable definition, entering and editing data, opening, defining and saving data files, manipulating and saving output, and compute and recode procedures

Topics

  • Introducing SPSS syntax
  • Managing syntax
  • Opening and saving data files
  • Defining variable properties
  • Selecting cases
  • Variable transformations
  • Exporting output
  • Dealing with syntax errors
IBM SPSS STATISTICS – SYNTAX LEVEL 2 (2 DAYS)

The Syntax Level 1 course guides delegates to understand the basic rules of SPSS syntax. This course focuses on advanced programming. Among the features taught are sophisticated facilities for automation, incl. macros and the Output Management System (OMS).

The typical delegate

  • Is interested in advanced programming
  • Frequently and repetitively runs complicated production tasks

Prerequisite(s)

  • Completion of the “IBM SPSS Statistics – Syntax Level 1” course

Topics

  • Summary of Syntax Level 1 course
  • Further variable properties and transformations
  • File operations
  • Functions in transformations
  • Programming transformations
  • Macros
  • Output management system (OMS)
  • Optimising syntax procedures

SURVEY-BASED RESEARCH

SURVEY DATA ANALYSIS WITH IBM SPSS STATISTICS (4 DAYS)

In this course delegates will learn a variety of methodologies for analysing survey data, whether it contains categorical, continuous (scale) or even qualitative variables. They will also learn how to interpret and convey these results appropriately to the audience. The concept of survey-based research is discussed as well as complex sampling.

The typical delegate

  • Needs to analyse or report on survey-based research
  • Does have experience in SPSS
  • Has access to the following add-on modules: Regression, Categories, Custom Tables, Data Preparation, Decision Trees, Missing Values and Complex Samples

Prerequisite(s)

  • Completion of the “Statistical Analysis with IBM SPSS Statistics Level 1” course, or similar experience
  • Familiarity with SPSS incl. opening, defining and saving data files, and manipulating and saving output

Topics

  • The logic of survey data analysis
  • Data checking and validation
  • Variable binning
  • Variable reliability and validity
  • Constructing an index
  • Factor and reliability analysis
  • Describing, charting and analysing categorical variables
  • Describing and charting scale variables
  • Analysing relationships between variables, e.g. t-tests, ANOVA and correlations
  • Multiple response variables
  • Analysing text data
  • Cluster analysis
  • Multivariate and logistic regression
  • Decision trees
  • Missing data and imputations
  • Survey non-response and weighting
  • Complex samples
  • Measuring change over time (longitudinal studies)
CONDUCTING COMPETITIVE SURVEYS (2 DAYS)

This course shifts focus from SPSS to the art and science of survey research. Delegates who attend it will solidify their knowledge of the survey process – setting objectives, sampling, traditional and electronic questionnaire design, data collection methods and data capturing. Also covered are response rates and data preparation.

The typical delegate

  • Has limited experience in survey-based research
  • Needs a quick-start guide in this field

Prerequisite(s)


n/a

Topics

  • Overview of survey design
  • Modes of data collection
  • Sampling and sample size
  • Writing questions (basics + advanced topics)
  • Questionnaire design: traditional and electronic
  • Pretesting (pilot studies)
  • Data collection and non-response
  • Data coding and entry
IBM SPSS TAFS (TEXT ANALYTICS FOR SURVEYS) (2 DAYS)

IBM SPSS TAFS is a standalone software product, designed to qualitatively analyse responses to open-ended questions. This course provides clarity on all the steps in the text analysis process, from reading the text data to exporting the final categories for further analysis. Delegates will also learn how to edit and manage dictionaries and libraries.

The typical delegate

  • Needs to analyse open-ended questions from survey-based research (experience would be helpful)
  • Has or is considering to purchase text analytics software

Prerequisite(s)


n/a

Topics

  • Text analysis issues & considerations
  • Using the Project Wizard
  • Viewing text data
  • Extracted concepts
  • Creating and viewing categories
  • Projects
  • The process of extraction
  • Categorisation techniques
  • Editing linguistic resources
  • Categorising responses
  • Advanced categorisation
  • Exporting categories
  • Templates and text analysis packages
  • Managing libraries
  • Tips & hints
MARKET SEGMENTATION WITH IBM SPSS STATISTICS (2 DAYS)

Even as a very popular technique (especially in the market research industry), Market Segmentation is a complex procedure involving a combination of statistical techniques. In this course, delegates are shown how to design, execute and finish off a market segmentation with SPSS Statistics.

The typical delegate

  • Needs to analyse data from survey-based research, e.g. market, medical, human sciences or academic research
  • Is involved with developing targeted marketing strategies

Prerequisite(s)

  • Completion of the “Statistical Analysis with IBM SPSS Statistics Level 1” course, or similar experience
  • Familiarity with SPSS incl. variable definition, entering and editing data, opening, defining and saving data files, manipulating and saving output, and compute and recode procedures

Topics

  • Segmentation and classification methods
  • Cluster analysis: principles and practice
  • Factor analysis
  • Decision trees
  • Decision trees: CHAID analysis
IBM SPSS STATISTICS – COMPLEX SAMPLES (2 DAYS)

Effective sampling ensures that the set of respondents or households being examined, optimally represents the population being investigated. Attend this course to see how the Complex Samples add-on module enables users to easily design, execute and automate probability-based sample plans. It can also use existing plans and produce statistical summaries for samples.

The typical delegate

  • Is involved with survey-based research and regularly needs to conduct sampling
  • Has or is considering to purchase the Complex Samples add-on module

Prerequisite(s)

  • Completion of the “Statistical Analysis with IBM SPSS Statistics Level 1” course, or similar experience
  • Familiarity with sampling methodology

Topics

  • Sampling basics
  • Introduction to Complex Samples
  • Setting up a sampling plan
  • Entering an existing sampling plan
  • Data format and entry
  • Frequencies and descriptives
  • Crosstabulations
  • Ratio estimation
  • General linear models
  • Logistic regression

DIVERSE TOPICS

STATISTICAL ANALYSIS WITH IBM SPSS STATISTICS LEVEL 2 (3 DAYS)

Develop your statistical skills past the basic functionalities of SPSS Statistics! A number of higher-level techniques are holistically addressed in this course. Afterwards, delegates will understand when and where these techniques can be applied, how to handle their relevant assumptions, how to execute them in SPSS Statistics and how to interpret the findings.

The typical delegate

  • Needs to explore or analyse data beyond the basic/obvious
  • Needs to understand the differences between means or relationships between variables, and natural groupings within cases

Prerequisite(s)

  • Completion of the “Statistical Analysis with IBM SPSS Statistics Level 1” course, or similar experience
  • Familiarity with SPSS incl. opening, defining and saving data files, and manipulating and saving output
  • Some experience in statistical/data analysis

Topics

  • Discriminant analysis
  • Binary logistic regression
  • Multinomial logistic regression
  • Survival analysis
  • Cluster analysis
  • Factor analysis
  • Loglinear models
  • MANOVA (multivariate ANOVA)
  • Repeated measures ANOVA
REGRESSION WITH IBM SPSS STATISTICS (3 DAYS)

Regression is one of the most popular statistical methods used to analyse the relationship between dependent and independent variables. Delegates who attend this course will discover its techniques and how and when to apply each one. They will also deal with the required assumptions and learn how to interpret regression results.

The typical delegate

  • Needs to run regression in SPSS
  • Needs to understand how certain variables relate to one another
  • Has or is considering to purchase the Regression and Advanced Statistics add-on modules

Prerequisite(s)

  • Completion of the “Statistical Analysis with IBM SPSS Statistics Level 1” course, or similar experience
  • Familiarity with SPSS incl. variable definition, entering and editing data, opening, defining and saving data files, manipulating and saving output, and compute and recode procedures

Topics

  • Introduction to regression
  • Examining the data
  • Simple regression
  • Multiple regression
  • Stepwise regression
  • Influential points and multicollinearity
  • Dummy variables
  • Logistic regression
  • Multinomial logistic regression
  • Modelling interactions
  • Polynomial regression
  • Nonlinear regression
ANOVA WITH IBM SPSS STATISTICS (1 DAY)

ANOVA (Analysis of Variance) is an acronym for the statistical technique used to analyse differences among multiple means of a population, e.g. the average monthly sales of a supermarket chain per province. This course covers ANOVA’s assumptions, different methods for different scenarios and interpretation of the results.

The typical delegate

  • Needs to understand ANOVA
  • Needs to compare multiple means in SPSS

Prerequisite(s)

  • Completion of the “Statistical Analysis with IBM SPSS Statistics Level 1” course, or similar experience
  • Some experience with SPSS syntax

Topics

  • Introduction to ANOVA
  • Examining data and testing assumptions
  • One-factor ANOVA
  • Multi-way univariate ANOVA
  • Multivariate ANOVA
  • Within-subjects designs: repeated measures
  • Between and within-subjects ANOVA
  • Mixed models ANOVA
  • ANCOVA (Analysis of Covariance)
  • Special topics incl. Latin Square Designs
IBM SPSS STATISTICS – DECISION TREES (1 DAY)

Tree-based classification and regression becomes fun when it can be conducted with the user-friendly SPSS add-on module, Decision Trees. Learn about when and how to apply all the most popular methods designed for this type of analysis: CHAID, Exhaustive CHAID, CRT and QUEST. They are compared with one another and results are interpreted.

The typical delegate

  • Is involved with survey-based research and needs to conduct decision or classification analysis
  • Needs to build prediction or decision models with a variety of predictor variables
  • Has or is considering to purchase the Decision Trees add-on module

Prerequisite(s)

  • Completion of the “Statistical Analysis with IBM SPSS Statistics Level 1” course, or similar experience
  • Familiarity with regression and/or predictive models e.g. discriminant analysis and logistic regression

Topics

  • Decision tree analysis
  • CHAID analysis, extensions and additional features
  • CRT classification trees
  • CRT regression trees
  • Quest analysis
TIME SERIES ANALYSIS WITH IBM SPSS STATISTICS (3 DAYS)

Typical data usually contain persons or items. Time series data hold timepoints, requiring a unique set of analysis techniques. In this course, delegates are taught different procedures to take into account time-related factors like the data’s trend and seasonality. They will also learn how to use current data for forecasting and which graphs are most appropriate.

The typical delegate

  • Regularly needs to analyse data in time series format
  • Needs to predict future trends and patterns
  • Has or is considering to purchase the Forecasting add-on module

Prerequisite(s)

  • Completion of the “Statistical Analysis with IBM SPSS Statistics Level 1” course, or similar experience
  • Good understanding of basic statistics, hypothesis testing and regression

Topics

  • Starting time series analysis
  • Smoothing time series analysis
  • Outlier detection and handling
  • Automatic forecasting
  • Measuring model performance
  • Simple curve fitting
  • Time series regression
  • Exponential smoothing models
  • ARIMA models
  • Applying time series models
  • Seasonal decomposition
  • Modeling seasonality
  • Intervention analysis
  • Transfer functions
IBM SPSS AMOS (2 DAYS)

This course is aimed at demonstrating the capabilities of the standalone software product, IBM SPSS Amos, designed for Structural Equation Modelling (SEM). Delegates will learn how to use its graphical interactive path modelling tools and how it is used to apply the basics of SEM. Course content includes SEM theory and modern advances for this technique. Practical examples from various disciplines are used to illustrate the concepts.

The typical delegate

  • Is interested in SEM
  • Has or is considering to purchase the Amos add-on module

Prerequisite(s)

  • Some experience in multiple regression
  • Some understanding of factor analysis

Topics

  • Introduction to SEM
  • Regression with Amos
  • Testing model adequacy
  • Principles of testing applied
  • The general model
  • Special topics

TRAINING SCHEDULE


March 2017

Mon Tue Wed Thu Fri Sat Sun
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  • US Woordfees
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  • US Woordfees
  • Basics: CT
  • Basics: JHB
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  • US Woordfees
  • Basics: CT
  • Basics: JHB
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  • US Woordfees
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  • US Woordfees
  • Data Handling: CT
  • Data Handling: JHB
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  • US Woordfees
  • Data Handling: CT
  • Data Handling: JHB
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  • US Woordfees
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  • US Woordfees
  • CT Cycle Tour
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  • Stats Level 1: CT
  • Stats Level 1: JHB
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  • Stats Level 1: CT
  • Stats Level 1: JHB
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  • Stats Level 1: CT
  • Stats Level 1: JHB
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  • CT Carnival
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  • Cape Epic
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  • Cape Epic
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  • Cape Epic
  • Human Rights Day
22
  • Cape Epic
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  • Cape Epic
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  • Cape Epic
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  • Cape Epic
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  • Cape Epic
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  • Basics: CT
  • Basics: JHB
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  • Basics: CT
  • Basics: JHB
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  • Data Handling: CT
  • Data Handling: JHB
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  • Int'l Jazz Festival
  • Data Handling: CT
  • Data Handling: JHB

FACILITIES


Training delegates are seated around one or more boardroom tables instead of the traditional classroom layout, creating a more interactive and personal experience.

WHAT ELSE DO YOU GET WHILE ON TRAINING?

  • Experienced, IBM Certified trainers
  • Modern training facilities in Cape Town and Johannesburg with fully equipped laptops
  • A Certificate of Attendance (electronic)
  • Training material and a pen
  • Refreshments and a light lunch (if training takes place at an OLSPS Analytics office)
ct-training-room-bw jhb-training-room-bw

ONSITE TRAINING


Are you situated far from our training offices, or do you have a very large group of colleagues/employees who need training? Do you have a suitable training venue? Let us come to you.

SOFTWARE-TRAINING COMBO SPECIAL


Book within 6 months after your software purchase and receive 20% off training fees. This discount is valid for any Fundamental Course or training on your new add-on module.

THE TEAM


SUSAN TERBLANCHE, TRAINING MANAGER

susan

With a BComm Hons. Statistics degree and after working for eight years as a Statistician for an international market research company, Susan is well equipped to show off the best in SPSS for new and experienced users.

GRACE INGABIRE, FREELANCE TRAINER

grace

Grace is currently studying towards her Master’s degree in Biostatistics, but has over four years of practical statistical experience in various corporate analytical environments. She is adored by colleagues and students alike and loves teaching statistics.

TESTIMONIALS


“Susan is a knowledge expert of the SPSS courses. She explains course content very well and provides a training environment that is engaging and interactive.”
L. VAN DER RHEEDE, SURGE PARTNERS


“Good experience & learning opportunity. Relaxed & interactive approach.”
D. ARENDSE, MILITARY PSYCHOLOGICAL INSTITUTE


“I wanted to thank you for the SPSS course that our staff attended. They all had very good feedback about the course and felt that they gained new knowledge. I also contacted OLSPS Analytics directly for a one-on-one consultation for help with my PhD. Tyler has been so helpful thus far. Awesome service from OLSPS Analytics all round.”
N. PHILIPS, UCT


“It really was an eye opening course and it showed how little of the software I was using.”
B. HLOPHE, SWAZILAND TOURISM AUTHORITY


“I enjoyed the course and will use the manual at work. Thanks.”
M. GOVENDER, AIRPORTS COMPANY SOUTH AFRICA