Collecting data; summarizing and displaying data; drawing conclusions and making decisions using data; probability background, confidence intervals, hypotheses tests, regression, correlation. Not open ...

This course teaches the foundational concepts of data analytics, that is, the fundamentals of probability and statistics. Data science is a growing field of study and practice as data is quickly ...

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 ...

Digital courseware provider Lumen Learning is working with the Association of Public and Land-grant Universities to bring Lumen's Introduction to Statistics course to more colleges and universities ...

Menu Important Links and Forms Statistics Resources Writing Resources Our Courses Understanding some statistics is important for general science literacy. Below are some common statistics resources ...

This introductory course is designed to give students the basic skills to organize and summarize data, along with an introduction to the fundamental principles of statistical inference. The course ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Contents: The R programming language is used for statistical data analysis and visualization. R and the R Studio development environment are a globally used tool set for statistical analysis and data ...

An introduction to statistics in an agricultural and horticultural context, including the presentation, analysis and interpretation of quantitative data. The fourth number of the course code shows the ...