This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

Success in business and science means making smart decisions. And those require the kind of information you can only get from sophisticated data analysis. It’s a growing field with huge opportunities.

This is the first section of a new course we are releasing next month on Fibonacci analysis. Feel free to provide feedback . What you will learn: - Prices frequently move relative to Fibonacci levels ...

The GLM procedure fits general linear models to data, and it can perform regression, analysis of variance, analysis of covariance, and many other analyses. The following features for regression ...

A categorical variable is defined as one that can assume only a limited number of values. For example, a person's sex is a categorical variable that can assume one of two values. Variables with levels ...

Network meta-analysis (NMA) is a method that pools evidence from randomised controlled trials that compare two or more interventions, but where each trial may compare different interventions. NMA ...

This video builds on the basics introduced in Part 1. By the end of the video, students will be able to: (1) summarize the goals of analyzing twin data for a single phenotype, (2) summarize the ...

This course aims to introduce participants to the methodology of systematic reviews and meta-analysis. It is taught by a team of systematic reviewers, research synthesis methodologists, information ...

This course is compulsory on the BSc in Financial Mathematics and Statistics, BSc in Mathematics and Economics, BSc in Mathematics with Data Science and BSc in Mathematics with Economics. This course ...