12 Online Statistics Degree Programs in USA

The advanced certificate in applied statistics is designed for engineers, scientists, analysts, and other professionals who want a solid education in the statistical methods that are most closely related to their work.

Due to COVID-19, classroom courses during Fall 2021 will be offered in a live online format. We continue to offer self-paced online courses.

Apply the skills learned in statistical analysis to a variety of industries, including insurance, marketing, government, health care, and more.

From probability and statistics to data analysis and machine learning, master the skills needed to solve complex challenges with data.

The Applied Statistics Graduate Certificate is designed for individuals who wish to augment or begin studies in applied statistics. Students are trained in the collection, organization, analysis, interpretation, and presentation of numerical data.

The Applied Statistics Graduate Certificate is designed for individuals who wish to augment or begin studies in applied statistics. Students are trained in the collection, organization, analysis, interpretation, and presentation of numerical data.

The Business & Finance Fundamentals: Statistics & Accounting course was designed to teach students how to analyze data with business concepts in mind. Students will learn how to use statistical methods, as well as interpret and share results using the vocabulary of statistics and data visualization. Students will run statistical analyses on real-world business scenarios, illustrating the value and use of statistics in business.

Statistics is the study of collecting, analyzing, interpreting, presenting, and organizing data. It involves the use of mathematical methods to describe and summarize data, to make predictions and decisions, and to test hypotheses.

Statistics is an essential course that is studied in Math, Science, and Pre-Med fields. It provides students with a foundation in the principles of statistical analysis and data interpretation.In Math, Statistics is studied as a part of a broader curriculum in the natural sciences. It provides students with the tools necessary to analyze and interpret data in various fields, such as biology, chemistry, and physics.

Causal Inference with R is the first course in a series on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you causal inference concepts, methods, and how to code in R with realistic data, this introduction focuses on how to interpret treatment effects, and how to explore and derive key summary statistics from dataframes.

Causal Inference with R – Experiments is the second course on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you about concepts, methods, and how to code in R with realistic data, this course focuses on experiment design, working with data from controlled and natural experiments, and dealing with noncompliance.

Causal Inference with R – Experiments is the fifth course on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you causal inference concepts, methods, and how to code in R with realistic data, this course focuses on how to use the advanced methods of instrumental variables and regression discontinuity to find causal effects. We will give you the reasoning be behind the methods, how you need to argue their validity, and what they look like in practice.