Pyramid Learning Hub: New Pyramid 2023 Courses and Updates
New Courses for Pyramid 2023 and an updated Model Advance Course!
With Pyramid 2023 a lot of the content for our courses has changed, we are regularly releasing refreshed courses for this new version. This month we have completed three more Functional courses detailed below, to cover the Features of our Pyramid 2023 Release. If you are already certified in Pyramid 2020, why not have a look into What's New in 2023 and the Level 2: 2023 Update. Full Details on the new and updated courses below!
New Course Available: Formulate (2023)
This e-Learning training focuses on the Formulate module within Pyramid. You will receive expert insights around this application; critical for harnessing the potential of Pyramid’s advanced data analysis. This course will cover calculations, parameters and lists, gauges, KPIs and themes, Dynamic captions, Custom visuals and Custom columns. You can access the new course here.
New Course Available: Present (2023)
This course will introduce you to Present, the module within the Pyramid Analytics platform that will help you design and create fully customized interactive dashboards for presentations. Users can take content created in the Discovery and Illustrate modules to create interactive visualizations, with charts, infographics, dynamic text and images to create effective and engaging presentations. You can access the new course here.
New Course Available: Publish (2023)
Welcome to this functional course covering the Publish module. In Publish, you’ll build templates comprising data visuals, illustrations and text. Once designed, you can then “run” your templates (on a scheduled basis) producing ‘materialized’ reports in formats like PDF, Word Documents or PowerPoint presentations, which can then be distributed and shared with colleagues and other recipients. You can access the new course here.
Updated Course Available: Model Advanced (2020.27)
When developing a data model you may have the requirement to run more than one data flow, or link them together, set conditions or trigger an event. A Master flow can contain advanced pipeline and flow logic, multiple data flows, multiple data models, and interactions with various other functions. The Model application contains a library of machine learning algorithms, supporting functions required to for developing data science models, including Python and R scripting.
This course is designed to build on the basic Modeling concepts, and introduce more advanced options through a series of practical examples. You can access the course here.
We hope you enjoy exploring this new training and look forward to your feedback.
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