Top tips and tricks for running ANOVA and non-parametric tests along with more advanced forms of ANOVA that will enable you to compare and analyse differences among groups.
In this webinar we show you top tips and tricks for building a time series model that will allow you forecast future values and/or predict the impact of other factors on your predictions.
In this webinar we will be showing you top tips and tricks for Segmenting your data and harnessing these Clustering techniques to target your Direct Marketing activities.
In this webinar we will be showing you top tips and tricks for Gaining Insights and Building Predictions with Decision Trees.
Watch our recorded webinar to learn how to automate repetitive and periodic analysis & reporting using the IBM SPSS command language. Increase your productivity and become an effective and productive user of IBM SPSS Syntax.
Learn how to access the latest tech tips for producing statistics from within Custom Tables, choosing the right procedure for predicting outcomes and automating variable selection using SPSS Standard {SPSS Base, Custom Tables, Regression & Advanced Statistics} in Part 2 of our Tech Tips Webinar Series.
In the first of a series of webinars we will be presenting the 4 key components of Presidion’s E2E Framework: Discover, Prepare, Improve, Sustain.
Watch our recorded webinar from October 11th to enhance your SPSS usage with the latest tech tips and tricks for improved productivity and smarter data management.
Live in Munich and livestreamed around the world, hear IBM customers and industry insiders such as Hilary Mason. You’ll see live machine learning and data science demos to get your team started making the most of your data right away, while helping you stay compliant with the current or upcoming regulations, such as GDPR (General Data Protection Regulations).
In this webinar we will focus on two separate, but closely related concepts from both an organisational and technical standpoint; in the first instance, we will be looking at the generally top-down activities that relate to Data Mapping, particularly in respect of Article 30 of the GDPR, and in the second, the largely bottom-up exercises that constitute Data Discovery.
