This taster to R & Python for beginners uses interactive Jupyter Notebooks and webinars to introduce users to R & Python with the use of a practical example.
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If you’re looking for an overview of R and Python applications in insurance, this course is ideal for you. An individual subscription gives you 3 months’ online access to:
As Well As
Our Data Science Resource Library which features Actuartech and Industry specific curated additional content to assist you on your data science journey.
This course is a taster of R & Python for beginners. Through a combination of webinars & interactive Jupyter Notebooks, students are able to get a taste of R and Python through the use of a practical example.
The intention of this short course is to briefly show how a simple data science process would follow in both R and Python, from defining the problem though to reporting on results. We aim to showcase the syntax used and some general data science techniques. We encourage the user to explore and edit the code, add your own code, or try out other built-in datasets R and Python provide.
The webinars cover the general framework for constructing a data science process(known as the data science pipeline) by way of an end-to-end case study using a dataset found in the MASS R package.
Practical Applications of Data Science End-to-End example includes an overview of the course and offers user and installation guides for reference.
The Webinars and Introductory videos introduces the platform and offers webinar recordings of both R and Python-based machine learning webinars.
Notebooks and dataset used covers two notebooks, one R notebook and one Python notebook, with a taster lesson each, and discusses the dataset.
We also discuss Next steps and offer students Blank notebooks for their convenience.
We have tailored packages available to ensure that corporate teams have the option to attend structured live lessons by our tutors, and the option to request a practical assignment and bespoke feedback. Invoicing option available.
