Statistics

Browse Our Statistics Courses

Statistics

Designing Valid Statistical Studies
This course will teach you how to design studies to produce statistically valid conclusions. Topics covered in the course include: overview of validity and bias, selection bias, information bias, and confounding bias.
Generalized Linear
Models

This course will explain the theory of generalized linear models (GLM), outline the algorithms used for GLM estimation, and explain how to determine which algorithm to use for a given data analysis.

Integer and Nonlinear Programming and Network Flow
This course will teach you a number of advanced topics in optimization: how to formulate and solve network flow problems
Introduction to Statistical Issues in Clinical Trials
This course will teach you the basic statistical principles in the design and analysis of randomized controlled trials.
Introductory Statistics for
Credit
This course is designed to teach sometimes tricky statistical concepts in an easy-to-understand business and real-world context.
Mixed and Hierarchical Linear
Models
This course will teach you the basic theory of linear and non-linear mixed effects models, hierarchical linear models,
Multivariate Statistics
This course will teach you key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis, and classification.
Regression Analysis
This course will teach you how multiple linear regression models are derived, assumptions in the models, how to test whether data meets assumptions,
Risk Simulation and Queuing
This course will teach you modeling technique making decisions in the presence of risk or uncertainty, including
Sample Size and Power Determination
This course will teach you how to make sample size determinations for various statistical tests and for confidence intervals,
Spatial Statistics for GIS
Using R
This course will teach you spatial statistical analysis methods to address problems in which spatial location.
SQL – Introduction to Database Queries
This course will teach you how to extract data from a relational database using SQL and merge data into a single file in R

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