I’m excited to be writing this book review. It is a book for which I’ve been waiting a long time. An Introduction to Statistical Learning with Application in R by James, Witten, Hastie, and Tibshirani ...

A course in statistics at the level of IEMS 303; A course in matrix analysis; Proficiency in programming, as extensive coding will be a key part of the curriculum. This course is considered a ...

Machine learning is the predictive heart of big data analytics, and one of the key skills that separates data scientists from mere analysts. But getting started with machine learning can be a ...

This course is the starting point for learning about statistical analysis in clinical and public health research. Attendees will learn the key concepts from statisticians working with the many ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Statistical machine learning is at the core of modern-day advances in artificial intelligence, but a Rochester Institute of Technology professor argues that applying it correctly requires equal parts ...

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. Data Science and Big Data Analytics are exciting new areas that ...

This course is compulsory on the MSc in Data Science. This course is available on the MSc in Applied Social Data Science, MSc in Quantitative Methods for Risk Management, MSc in Statistics, MSc in ...