Inferential and Predictive Statistics for Business

Illinois Urbana-Champaign connects population questions with hypothesis testing and regression. After two-sample inference, the course studies simple and multiple linear models. Its business setting is useful for learners who need to explain an estimate or prediction to colleagues and want spreadsheet-based practice alongside the statistical concepts.

What you will learn

• Test a claim about a population.
• Compare differences between two populations.
• Use and interpret simple and multiple linear regression.

Who this suits

Intermediate learners; detailed prerequisites are not listed in the published course facts. Preview the statistical and Excel expectations.

Before you enroll

Choose an exercise that makes the assumptions visible. A calculated result needs interpretation in the context of the sample, measurement method and question being investigated.

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Put it into practice

Fit a regression to fictional business data. Identify an omitted factor that might affect the prediction and explain the resulting limitation.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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