Sampling (Statistics)

Sampling is a fundamental method in statistics that involves selecting a subset from within a statistical population to estimate characteristics of the whole population. Coursera's Sampling catalogue teaches you the principles of data collection, survey design and how to apply sampling techniques to collect and analyze data effectively. You'll learn the basics of random sampling, stratified sampling, cluster sampling and systematic sampling. Master techniques for estimating population parameters and assess sampling errors. Whether you're a statistician, data scientist, market researcher or a student specializing in data-related fields, this skill will enable you to make informed decisions based on sample data, improving your statistical analysis and data interpretation capabilities.