Live and on demand webinars
Whether you’re just getting started with data analytics or looking to deepen your expertise, our webinar library has something for you. Browse a growing collection of live and on-demand sessions covering everything from predictive modelling and machine learning to survey analysis, data cleaning, forecasting, and beyond.
Every webinar is one hour long and completely free, so you can fit learning around your schedule without any commitment. Join us live to ask questions in real time, or watch on demand at a time that suits you.
Live & Upcoming Events
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5 June 2026, 10:00 am
This webinar shows how statistical analysis can uncover issues in equal opportunities. We will also look at how techniques such as decision trees can be used to uncover the key factors that drive employee defection.
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5 June 2026, 12:00 pm
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.
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5 June 2026, 3:00 pm +1 more
This webinar focuses on the value of data science and advanced analytics. The session gets behind the hype to explain what data science really is, how it could make a difference to your organisation.
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1 July 2026, 11:00 am
This webinar shows how to use SPSS Statistics to analyse Tenant Satisfaction data. Learn how to prepare and filter survey data, test relationships between variables, calculate confidence intervals and create clear visualisations.
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3 September 2026, 10:00 am
Explore correlation analysis in SPSS Statistics. Learn how correlation coefficients can reveal powerful linear relationships between variables, from price and demand to education and salaries.
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3 September 2026, 12:00 pm
The webinar 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.
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3 September 2026, 3:00 pm
Learn how to go beyond establishing whether relationships exist to understanding why and for whom they occur, using moderation and mediation analysis in SPSS. Explore how interaction effects and underlying mechanisms can reveal deeper insights in your data.
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7 October 2026, 10:00 am
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…
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7 October 2026, 12:00 pm
What do so called ‘significance tests’ signify? In this webinar we unpack the reasoning and theory associated with p values, null hypotheses and the whole idea of using statistics to carry out ‘tests’.
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7 October 2026, 3:00 pm
Discover just how simple it can be to build your own ChatGPT-like capability using Retrieval Augmented Generation (RAG) with IBM
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1 December 2026, 10:00 am
In this webinar we show how analysts and researchers can tackle key healthcare challenges in SPSS Statistics, from patient satisfaction surveys to clinical outcomes research, covering essential techniques including correlations, multivariate visualisation, risk estimation and survival analysis.
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1 December 2026, 12:00 pm
This webinar explores how Linear Regression and Logistic Regression can be applied to real-world healthcare challenges using IBM SPSS Statistics — from modelling cancer incidence in populations to predicting low birthweight, while covering key techniques for identifying and troubleshooting problems in your regression models.
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1 December 2026, 3:00 pm
In this webinar 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.
On-Demand Webinars
These on demand webinars are available for you to watch for free whenever you like. Each one is a recording of the webinar the last time it was delivered live. Unlocking the webinar gives you access to both the recording and a downloadable copy of the webinar slides.
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An introduction to Neural Networks in SPSS Statistics. Learn how these models work, how to build and train a simple network and how to improve accuracy by tuning key parameters, how to save your model and apply it to new data for scoring.
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Using real charity case studies, we show how data-driven techniques improve response rates, reduce mailing costs and guide smarter targeting.
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This webinar shows how predictive analytics can help universities identify students at risk of dropping out and take action before disengagement turns into withdrawal.
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This webinar shows how to use SPSS Statistics to analyse Tenant Satisfaction data. Learn how to prepare and filter survey data, test relationships between variables, calculate confidence intervals and create clear visualisations.
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Learn how to use SPSS to import and format data, create filters and derived fields, build clear tables and identify statistically significant differences. A practical, accessible overview designed for non-statisticians who want to understand what SPSS Statistics can offer.
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This webinar explains the licensing and implementation options for IBM SPSS Statistics in NHS settings. Learn how the SPSS modules fit together, how to assess which you need and what factors to consider when choosing the right licence.
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This webinar outlines the key licensing and implementation options for IBM SPSS Statistics. You will learn how the modules fit together, which factors influence the right licence choice and how to match your organisation’s needs with the most suitable deployment model.
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This webinar shows how statistical analysis can uncover issues in equal opportunities. We will also look at how techniques such as decision trees can be used to uncover the key factors that drive employee defection.
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This webinar introduces CRISP-DM, the leading methodology for managing predictive analytics and data mining projects. Learn the six stages, understand key team roles and see how the framework prevents common pitfalls.
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This webinar shows how predictive analytics can help you spot early signs of customer churn and intervene before valuable customers leave. Learn how churn models identify key risk drivers, generate individual risk scores and guide the most effective retention actions.
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This webinar shows how predictive maintenance and advanced analytics can improve asset management across sectors. Learn how asset data is prepared and modelled, how static and dynamic sources combine to produce accurate risk estimates and how text mining enriches predictions.
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This on-demand session offers a clear introduction to predictive analytics and how it can help you unlock more value from your data. Learn what predictive analytics is, how other organisations are already using it and the steps needed to get started.
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This webinar examines why predictive analytics projects often fail and what drives successful outcomes. Using the CRISP-DM framework, it explores how to set meaningful objectives, test model performance, manage resources and avoid common pitfalls.
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This webinar introduces Bayesian statistical analysis and shows how to run Bayesian tests in SPSS. Learn about priors, credible intervals, Bayes Factors and how Bayesian thinking differs from the classical Frequentist approach.
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This session provides a practical overview of tools and techniques for improving operational efficiency and decision making.
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This webinar tackles the critical challenge of ML/AI deployment — exploring the key blockers, the latest cloud and standalone deployment options, and how to ensure your data science investment delivers real business value.
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This webinar introduces UNICOM Intelligence Reporter and shows how it speeds up the creation of flexible, interactive tables for survey research.
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This webinar introduces time series forecasting in IBM SPSS Statistics. Learn how to visualise data, apply smoothing, define periodicity, build ARIMA models, interpret results and generate accurate forecasts.
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This on-demand session demonstrates six proven techniques to improve predictive model accuracy, including bagging, boosting, feature engineering, ensemble methods, meta-modelling and split-method models.
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Learn how to identify sentiment, categorise free text and combine unstructured information with traditional analytics to generate richer insight. A practical guide for organisations looking to make better use of their text data.
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The webinar 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.
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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.
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Learn how to visualise time-based data, define periodicity, apply smoothing methods, assess model fit and incorporate predictor fields to improve accuracy.
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Learn how to reduce large sets of variables into meaningful factors, interpret PCA outputs and build practical clusters for segmentation.
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This webinar explains how to evaluate predictive models and deploy them effectively. Learn how to compare accuracy measures, use gains and ROC charts, assess profitability and test performance before deployment.
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This webinar shows how SPSS Modeler’s REGEX nodes make advanced text handling easier. Ideal for Modeler users looking to extend their text-processing skills.
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This webinar introduces data-driven segmentation using cluster analysis. Learn how to explore your data in SPSS, identify meaningful groups, interpret clustering results and build segmentation models you can apply to new data.
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This webinar shows how predictive analytics can improve both outbound and inbound marketing performance. A practical introduction for marketers looking to move beyond simple rules-based approaches.
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In this webinar we’ll show you how to clean and prepare data for analysis using standard functionality in SPSS Statistics.
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See how to create customised routines in SPSS Statistics without coding. Learn to build hot buttons, use the Custom Dialog Builder, create flexible table-format dialogs and combine multiple routines into streamlined procedures.
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Discover just how simple it can be to build your own ChatGPT-like capability using Retrieval Augmented Generation (RAG) with IBM
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Explore correlation analysis in SPSS Statistics. Learn how correlation coefficients can reveal powerful linear relationships between variables, from price and demand to education and salaries.
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Learn the CRISP-DM process, explore different modelling techniques, define targets and inputs, build decision tree models, compare techniques with Auto-Classifier and assess performance. The session also covers deploying models to generate predictions on live data.
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This webinar shows how to automate SPSS workflows using syntax, macros, scheduled tasks, VBA and Python. Learn how to streamline repetitive jobs, integrate SPSS with Excel and PowerPoint, create custom dialogs and build your own analyses.
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This on-demand session introduces DataRobot’s AI Cloud platform and shows how to build and evaluate predictive models automatically. A clear introduction to automated machine learning.
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This webinar shows how DataRobot’s Automated Time Series delivers advanced, AI-driven forecasting with minimal set-up. Learn how to generate multi-series forecasts, use automated clustering, handle missing data and assess accuracy with time-aware back tests.
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This on-demand session shows how to uncover richer insight from survey data. Learn to identify meaningful patterns, work with rating scales, analyse multiple response questions, interpret text comments and create new variables.
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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…
-
What do so called ‘significance tests’ signify? In this webinar we unpack the reasoning and theory associated with p values, null hypotheses and the whole idea of using statistics to carry out ‘tests’.
-
This webinar focuses on the value of data science and advanced analytics. The session gets behind the hype to explain what data science really is, how it could make a difference to your organisation.
-
This webinar explores how Linear Regression and Logistic Regression can be applied to real-world healthcare challenges using IBM SPSS Statistics — from modelling cancer incidence in populations to predicting low birthweight, while covering key techniques for identifying and troubleshooting problems in your regression models.
-
In this webinar 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.
-
In this webinar we show how analysts and researchers can tackle key healthcare challenges in SPSS Statistics, from patient satisfaction surveys to clinical outcomes research, covering essential techniques including correlations, multivariate visualisation, risk estimation and survival analysis.
