This is an introductory course on statistics, with examples to demonstrate its applications in business and economics.

This course aims to teach you fascinating new statistical skills and a statistical programming language. The course is delivered in a self-paced format by UCL's Centre for Applied Statistics Courses ...

We may regret only that it is an elementary introduction to the theory of statistics and not the theory itself. This still remains to be written.

HAR6035: Introduction to Statistics and Critical Appraisal This campus-based module is led by Stephen Walters. It runs in the Autumn semester and is worth 15 credits.

Introduction to Statistics 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 ...

Introduction to Statistics 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 ...

Explore McDonald’s annual revenue, dividend yield, growth rate, EPS and other facts & statistics.

The Harvard Math Department will pilot a new introductory course aimed at rectifying a lack of foundational algebra skills among students, according to Harvard’s Director of Introductory Math ...

This module provides an introduction to data analysis and statistical concepts relevant to economics. The focus of this module is on the practical application of quantitative reasoning, visualisation ...

INFO-610 Introduction to Statistics 3 Credits This course introduces students to statistics and quantitative information. The course surveys probability theory, hypothesis testing, descriptive ...

The module will introduce students to basic concepts and techniques such as hypothesis testing and confidence interval estimation in statistics. Students will learn some simple statistical methods and ...

Intro to Statistics This course teaches data analysis, visualization, and interpretation, combining statistics and programming. Topics include scatter plots, probability, Bayes’ rule, estimation, ...