Data Science is an interdisciplinary undergraduate program at SFU involving coursework in four different areas: statistics, computing science, mathematics, and business. The program was designed after ...

Book webpage includes practice exercises and data. Course webpage: the complete course webpage will be available on CANVAS at the beginning of the semester. Get ready for this class: This class is ...

Students will learn how to extract and manipulate data from these systems. They will also acquire basic knowledge of data mining and statistical analysis, with a focus on data visualization. The ...

Statistics is the science of information that lets you discover patterns behind data. As a statistician, your understanding of probability theory lets you make decisions in the face of uncertainty.

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Traditionally, urban analysis has been quick to adopt and benefit from developments in technology (e.g., microcomputer, GIS) and techniques (e.g., statistics, mathematical programming). This has not ...

The R programming language is quickly gaining popular ground against the traditional statistics packages such as SPSS, SAS and MATLAB, at least according to one data statistician who teaches the ...

Data analysis has been part of computing's kit bag for decades, so AI offers, in a sense, more of the same. Raw data goes in, and some conclusion comes out.