SPSS Statistics licence options for NHS organisations
2025-07-10 10:00 - 10:45 (Europe/London)
IBM SPSS Statistics software can be licensed and implemented in many ways. This free webinar, run in conjunction with IBM, will explain what you need to consider to make the right licensing choice for your NHS organisation.
This webinar will be useful for:

Anyone who will be using the software
Procurement – to understand more about cost options
IT – to understand about installation and configuration options

This 45 minute webinar will provide:

An overview of the modules which make up the SPSS statistics package:

Where to find more information
How to decide which modules you will need

The things to consider to find the right licence to match your needs including:

How many people will be using the software
Where the software needs to be installed
How long you will need the software for

Who should attend?
The webinar will be helpful for anyone who is considering SPSS licence options for the first time. It will also be of interest to those who already own SPSS software but whose needs have changed and who need to think about different licence options.
Book your free place here.

Getting started with regression techniques in SPSS Statistics
2025-09-03 12:00 - 13:00, 2026-01-27 12:00 - 13:00 UTC
Register now for this free webinar
You are invited to join us for this free educational event focusing on the application and value of regression techniques in the IBM SPSS Statistics products. The session will give you a straightforward overview of how simple regression techniques can help your business and how to get started with regression analysis in SPSS. In just one hour you will learn how easy it is to perform simple but powerful regression analysis using IBM SPSS software.
Using regression you can:

Accurately predict the response to your marketing campaigns, both what the overall response volume is likely to be and how likely individual recipients are to respond
Predict what effect a change in advertising spend or price will have on your sales
Make your marketing resources go further and be more effective – by enabling you to rank recipients of marketing campaigns by their likelihood to respond and therefore select the list to optimise response or conversion
Understand how changes you make to one aspect of your marketing might affect others – for example, how the number of tweets you send influences the number of visits to your website, or how the availability of parking influences footfall in your store.
Understand the relative strength of different factors that influence your sales – do your sales depend more strongly on price or on advertising volume?

During the event we will cover:

The principles of prediction
What linear regression is and how it can help you
How to build a simple linear regression model in SPSS
How you can predict response likelihood with logistic regression
How to apply predictive models to your data

Who should attend?

Anyone who has used SPSS in the past and needs a refresher, or is currently using it and would like more confidence in some of the processes.
Anyone who is considering making an investment in statistical software and wants to learn more about what it can do for them.
Anyone who has heard of regression but isn’t sure why they should be using it.
Anyone who’d like to know the difference between the different regression techniques and when to use them.

Some background in analytics, statistics or statistical terminology will be useful but is definitely not essential.
Spaces are limited so book yours today.

Getting started with SPSS Statistics
2025-09-09 10:00 - 11:00, 2026-02-26 10:00 - 11:00, 2026-10-07 10:00 - 11:00 UTC
You are invited to join us for this free educational event in which you’ll learn about IBM SPSS Statistics – one of the most highly-regarded analytical software platforms. There’s a lot of talk about big data and predictive analytics at the moment, and IBM SPSS Statistics is at the forefront of this current wave of interest as one of the most powerful yet accessible analytics tools available. If you’ve been thinking about how your organisation could benefit from predictive analytics then this session will show you how easy it is to get started with IBM SPSS Statistics. During the session we will walk you through the three key areas that will enable you to make truly effective use of this powerful analytical software:

Reading and formatting data
Transforming and manipulating data
Effective analysis and deployment of results

During just one hour you will learn:

How you can read data from databases and spreadsheets into IBM SPSS Statistics
How you format the data correctly so that you don’t have to waste time editing the output
How you can easily create filters and banded fields in order to make the most of the data you already have, for example by taking customer ages and creating a new variable of age group
How you can use the SPSS Tables functionality to create publication-quality reports, enabling you to share the results of your analysis throughout your organisation
How to find statistically significant differences in groups and how to interpret the results in order to use them to make meaningful business decisions

Who should attend?
This event is aimed at non-statisticians. This event will be particularly relevant for you if you are considering using SPSS Statistics to go beyond spreadsheet-based analysis or BI/MI reporting, but anyone who’s interested in finding out more about predictive analytics will benefit from attending.
Book your free place here.

Getting started with SPSS Statistics
2025-10-16 10:00 - 11:00 UTC
You are invited to join us for this free educational event in which you’ll learn about IBM SPSS Statistics – one of the most highly-regarded analytical software platforms. There’s a lot of talk about big data and predictive analytics at the moment, and IBM SPSS Statistics is at the forefront of this current wave of interest as one of the most powerful yet accessible analytics tools available. If you’ve been thinking about how your organisation could benefit from predictive analytics then this session will show you how easy it is to get started with IBM SPSS Statistics. During the session we will walk you through the three key areas that will enable you to make truly effective use of this powerful analytical software:

Reading and formatting data
Transforming and manipulating data
Effective analysis and deployment of results

During just one hour you will learn:

How you can read data from databases and spreadsheets into IBM SPSS Statistics
How you format the data correctly so that you don’t have to waste time editing the output
How you can easily create filters and banded fields in order to make the most of the data you already have, for example by taking customer ages and creating a new variable of age group
How you can use the SPSS Tables functionality to create publication-quality reports, enabling you to share the results of your analysis throughout your organisation
How to find statistically significant differences in groups and how to interpret the results in order to use them to make meaningful business decisions

Who should attend?
This event is aimed at non-statisticians. This event will be particularly relevant for you if you are considering using SPSS Statistics to go beyond spreadsheet-based analysis or BI/MI reporting, but anyone who’s interested in finding out more about predictive analytics will benefit from attending.
Book your place now.

Using SPSS for marketing applications
2025-12-02 15:00 - 16:00, 2026-04-23 15:00 - 16:00, 2026-12-01 15:00 - 16:00 (Europe/London)
In this webinar we will show you how you can use IBM’s powerful data analytics tool SPSS Statistics to help with a series of classic direct marketing challenges such as identifying which creatives or offers perform significantly better, finding the most valuable customers, uncovering useful segments, and predicting customer behaviour.
In just one hour we will show you how you can leverage SPSS to make smarter, data-driven marketing decisions. In particular, we’ll cover four powerful techniques that can transform how you understand and engage with your customers:

Performing A/B Testing with Significance Tests – Learn how to set up and analyse experiments to optimise your marketing strategies.
RFM Analysis – Discover how to identify your most valuable customers by evaluating recency, frequency, and monetary value.
Cluster Analysis – Uncover hidden customer segments to tailor more personalised campaigns.
Decision Trees – Profile and predict customer behaviour to improve targeting and retention.

Who should attend?
This webinar is suitable for anyone who’d like to learn more about how SPSS Statistics can help you unlock the information hidden in your existing data to drive better decision making.
BOOK NOW

Correlation analysis with SPSS
2026-01-27 10:00 - 11:00, 2026-09-03 10:00 - 11:00 (Europe/London)
In this webinar Jarlath Quinn takes a deep dive into correlation analysis in SPSS Statistics. Correlations coefficients are one of the most widely-employed analytical techniques used to assess whether linear relationships exist between separate variables. Jarlath looks at how we can use correlations to measure the degree of association between economic factors like price and demand, environmental effects such as temperature and ice cream sales and sociological factors like education levels and employee salaries.

Why are correlation values useful?
Interpreting correlation coefficients
How correlations are calculated
Automatically highlighting strong correlations
Linear vs Non-Linear Relationships
Non-parametric correlations
Estimating correlation values with Bootstrapping techniques

Book your free place now

Understanding interactions and mechanisms using Moderation and Mediation Analysis
2026-01-27 15:00 - 16:00, 2026-09-03 15:00 - 16:00 (Europe/London)
Book your free place now
In this webinar, Jarlath Quinn shows how to perform Moderation and Mediation analysis in SPSS using the downloadable PROCESS macro developed by Andrew F. Hayes PhD. The usefulness of these modelling approaches is such that they have become increasingly popular in the last 20 years. In particular, they allow analysts to go beyond simply establishing if a relationship exists, to a deeper understanding of for whom or whenthis occurs and how the underlying the mechanism works.
Moderation analysis enables researchers to identify interaction effects that alter the linear relationship between a dependent and independent variable. For example, the relationship between employment tenure and salary might be different for men and women. In such situations, employee gender could be specified as a moderator variable, and researchers could test to see if it did indeed change the relationship.
In the second part of the webinar, Jarlath looks at Mediation analysis. This is an approach used to test if a third variable could act as an underlying driver of a relationship between an independent and dependent variable. For example, the relationship between wealth and educational success might be explained by the amount spent on private tuition. In this example, educational expenditure could act as a mediator variable, and researchers could test to see if it did indeed reveal a key mechanism that underpinned the relationship.
This webinar is suitable for those who have attended the previous linear regression webinars or for those who are already have a good understanding of regression methods.
Book your free place now

Is deployment the elephant in the Machine Learning room?
2026-02-02 15:00 - 16:00 (Europe/London)
Deployment is the most critical step in any data science or machine learning process.
It is where our ML/AI models are typically put to work in business and industrial process. Where most of the value of a data science project is derived.
If we can’t deploy then all the cost and effort invested in discovery, data engineering and model development is wasted.
Yet, according to many industry analysts more often then not deployment does not happen. Indeed, 43% of Data Scientists say that 80%, or more, of their built models fail to deploy.
Whether you are:

Looking to deploy for the first time
Or have struggled to deploy in some instances
Or perhaps you are considering new deployment options. Maybe as part of a cloud migration

What we will cover:-

A high level view of deployment
Blockers to deployment and how to manage them
Deployment options in:

Cloud and premised platforms. Inc. ML/OPS. Including AWS, Azure, IBM WatsonX
Standalone tools including Python, R, SAS , IBM/SPSS and Dataiku

The model interoperability standard PMML and new developments in PMML from OpenScoring

Who should attend?
This webinar is for any current practitioners and business stakeholders involved in data science. Or for anyone considering new ML/AI initiatives.
Book your free place now

Getting started with decision trees with SPSS Statistics
2026-06-05 12:00 - 13:00 UTC
You are invited to join us for this free educational event focusing on the application and value of using decision trees. This session will give you a straightforward overview of how decision trees work and how they can be applied to solve a range of business problems.
Using decision trees you can:

Accurately predict who is most likely to respond to your marketing campaigns by generating response propensity scores
Uncover critical relationships between descriptive, transactional and interaction data that enable a deep understanding of customer behaviour
Build visual profiles that reveal the key drivers of customer satisfaction
Deploy the decision tree as a predictive model to estimate the likelihood of key customer events such as subscription renewal, repeat purchase, upgrades or cancellations

During the event you will learn:

The principles of classification and prediction when using decision trees
How to build a simple decision tree models and rule sets
How to interpret and test results
How to apply predictive models to customer/prospect data

Who should attend?

Anyone who has used statistics tools in the past and needs a refresher, or is currently using them and would like a deeper understanding of this area of analytics
Anyone who is interested in entry-level predictive analytics software and wants to learn more about what it can do for them
Anyone who has heard of decision trees but isn’t sure why they should be using them

Some background in analytics, statistics or statistical terminology will be useful but is definitely not essential.
Book your place now.
