Resource Libraries
Our curated AI Industry Resource Library is freely available to all subscribers of our platform. Enrolment to courses may include access to additional, specialised resource libraries.
Products
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Mortality Forecasting in Python (P2)
BundleDiscover how to use advanced techniques in Python such as time series analysis, Lee-Carter model, data cleaning & visualisations to forecast mortality rates in an end-to-end walkthrough. Resource library included. £325 once-off: 3 months' access
£325
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Lapse Experience Analysis in R (R2)
BundleLearn advanced techniques, such as fitting regression and classification ML models, feature engineering, and visualisations, investigating lapse rates in this end-to-end walkthrough, with a resource library. £325 once-off fee: 3 months' access
£325
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Motor Pricing and Reserving in Python (P3)
BundleExplore utilising advanced techniques in Python, including traditional actuarial methods and data cleaning, in this end-to-end walkthrough of predicting claims' frequency, supplemented by a curated resource library. £325 once off: 3 months' access
£325
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Mortality Experience Analysis in R (R3)
BundleLearn advanced techniques in R, such as fitting various ML models, data cleaning, and visualisations to understand the drivers of mortality in this end-to-end walkthrough, supplemented by a resource library. £325 once-off: 3 months' access.
£325
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Visualisations and Dashboarding in Python (P4)
BundleDiscover how to use visualisation techniques in Python to present key messages from complex data with hands-on examples, including dashboarding to identify patterns and trends, supplemented by a resource library. £325 once off: 3 months' access.
£325
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Visualisations Deep Dive in R (R4)
BundleDiscover how to use visualisation techniques in R to present key messages from complex data with hands-on examples, including dashboarding to identify patterns and trends, supplemented by a curated resource library. £325 once-off: 3 months' access.
£325