Basic Statistics

The University of Amsterdam builds from describing one variable to examining relationships and uncertainty. Probability distributions and sampling prepare learners for confidence intervals and significance tests. This sequence is useful when you want the reasoning behind an analysis before concentrating on a specific programming language or business application.

What you will learn

• Describe data using summaries and graphs.
• Distinguish population, sample and sampling distributions.
• Interpret confidence intervals and significance tests.

Who this suits

Beginner-level learners; detailed prerequisites are not listed in the published course facts.

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

Invent a small sampling exercise and identify the population of interest. Explain how a convenient sample could lead to a misleading estimate.

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.

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