Dear Allstat,
The Royal Statistical Society is running the following course in March that may be of interest to you. All the courses will be delivered online through a virtual classroom.
Introduction to Machine Learning in R - 5 to 8 March 2024
This course covers the fundamentals of machine learning and the methodology for applying these to real-world analytics problems. The course outlines the stages involved in a machine learning analysis and walks through how to perform them using the R programming language and the tidymodels suite of packages. Participants will be provided with exercises to complete through the course in order to gain hands-on experience in using the methods presented.
For further information or to book, go to https://rss.org.uk/training-events/training/public-courses/software-training/introduction-to-machine-learning-in-r/introduction-to-machine-learning-in-r-virtual-(3)/
Intermediate Statistics - 8 March 2024
Multiple linear regression is one of the most commonly used techniques in statistics and allows for the impact of multiple variables to be assessed simultaneously. The analysis of variance (ANOVA) is a related technique which allows the mean values of several groups to be compared. This course will utilize Jamovi's free software, to equip participants with the skills necessary to undertake both types of analysis, understand and interpret the output, check the assumptions that underpin each type of model, and present the results coherently.
For further information or to book, go to https://rss.org.uk/training-events/training/public-courses/introduction-to-statistics/intermediate-statistics-using-excel/intermediate-statistics-virtual-classroom-onli-(3)/
Introduction to Bayesian Statistics - 12 & 13 March 2024
This two-day virtual course aims to provide a working knowledge of Bayesian statistics for interested researchers. Bayesian statistics has become a standard approach for many applied statisticians across a wide variety of fields due to its conceptual unity, clarity and practical benefits. However, because training in Bayesian methods is often not a standard part of research curricula, the benefits of Bayesian statistics have been slower to reach applied researchers.
For further information or to book, go to https://rss.org.uk/training-events/training/public-courses/introduction-to-statistics/introduction-to-bayesian-statistics/introduction-to-bayesian-statistics-online-2024-03/
Identifying Trends and making Forecasts - 19 & 20 March 2024
This virtual course is being delivered over 2 mornings. It will look at one of the big questions in businesses -- what is going to happen next. It would be so much easier to plan sales, purchases, production, staff and logistics if we knew the answer to this question! Many businesses know how important it is to forecast for the future, yet many fail to apply the fundamental concepts of statistical forecasting. Those that don't use statistical forecasting face higher costs and uncertainty when reality diverges from their plans. Those that do use statistical forecasting are able plan for the future much more effectively and efficiently.
For further information or to book, go to https://rss.org.uk/training-events/training/public-courses/introduction-to-statistics/identifying-trends-and-making-forecasts/identifying-trends-and-making-forecasts-virtua-(3)/
Introduction to Python - 19 to 22 March 2024
Python is an interpreted high-level programming language for general-purpose programming which is becoming the language of choice for many data analysts. This online course is intended as an introduction to the Python programming language. Through the use of taught material and practical examples, participants will build up the skills needed to perform data analysis using Python.
For further information or to book, go to https://rss.org.uk/training-events/training/public-courses/software-training/introduction-to-python/introduction-to-python-virtual-classroom-onlin-(2)/
Please forward this email to any of your colleagues who may also be interested in this course.
Thank you.
RSS Training Office
The Royal Statistical Society
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