IFRS 17 Data Management Example using SQL
Explore advanced queries in SQL centred around data management techniques showcased through an indicative IFRS 17 example.
Actuartech courses cover a wide range of topics in the field of actuarial technology including R, Python, IFRS 17 and more. Learn more about the course content below, and sign up for a free preview of any of our premium paid courses.
In this introduction of data science in insurance, we discuss data analysis and data sources and provide an overview of some data science techniques, before touching on the ethical considerations in data science and giving examples of the application of data science in insurance.
Discover how to use advanced techniques in Python, including fitting regression and classification machine learning models, data cleaning, feature engineering, preliminary visualisations, and reporting to investigate lapse rates in this end to end walkthrough.
Explore utilising advanced data science techniques in the context of pricing and reserving, including traditional actuarial methods, and data cleaning, in this end to end walkthrough of predicting the frequency of claims for non-life insurance contracts to assess risk.
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