In today’s knowledge economy, the effective analysis and interpretation of analytical results requires a basic fluency in statistics. This one-day course provides a gentle, intuitive approach to the subject using MS Excel and R to teach key statistical concepts and methods of their visualisation. It minimises the use of mathematical notation and is suitable for anyone working with data in their daily jobs.
Course outline
The course begins by grounding the fundamental statistical concepts of probability distribution, mean, median and standard deviation. It then introduces the notions of independence, binomial distribution, correlation, and multivariate data, building up a step-by-step introduction to regression modelling. Finally, modern resampling statistical tools will be introduced in place of more esoteric formula and assumption based techniques.
Who should attend?
This course suits those who were exposed to basic statistical tools at university and who want a refresher on basic principles and their applications, as well as those who find themselves in analytical and data-driven roles having never studied tertiary statistics.
Course outcomes
Attendees will, by the end of the course, have in place a sound grasp of basic statistics, and the practical skills to apply the statistical concepts of mean, median, distribution, standard deviation, correlation, regression, and resampling in their work.
Course instructor
The course will be instructed by Presciient Director, Dr Eugene Dubossarsky. Eugene is a founder and Fellow of the Institute of Analytics Professionals of Australia (IAPA); Director, University of New South Wales School of Mathematics and Statistics Industry Advisory Board; and a recognised industry leader in Business Analytics. Eugene is an experienced, professional data miner of 20 years’ experience.
Prerequisites
Attendees are recommended to have completed Presciient’s Introduction to R two-day course, or equivalent.