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 ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

Course TopicsThe first of the Spring 2010 LISA Short Courses was “An Introduction to Statistical Analysis,” by Dr. Eric Vance, the director of LISA (Laboratory for Interdisciplinary Statistical ...

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

Course TopicsThis short course provides an introduction to JMP statistical software and is designed for people who are not familiar with JMP. It starts with basic data manipulation and moves to some ...

Meanwhile, Governments are using to data to help guide policy decisions, making this a prime area for social scientists with an interest in quantitative methods. This course aims to provide an ...

IEMS 301: Introduction to Statistical Learning VIEW ALL COURSE TIMES AND SESSIONS Prerequisites A prior course in statistics at the level of IEMS 304; A course in matrix analysis; Proficiency in ...

Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences. Bayesian brings a new way of thinking to statistics, in how it deals with probability, ...

American Statistical Association leadership applauds the bipartisan introduction of the Data Science and Literacy Act by representatives Haley Stevens (D-MI), Jim Baird (R-IN), Don Beyer (D-VA), and ...