This course will develop your understanding of artificial intelligence, machine learning and data privacy. It will help you understand the data privacy issues present in machine learning.
Learn more on Introduction to artificial intelligence, machine learning and data privacyData linkage provides insight, informs policy change and helps answer society’s most important questions by increasing the utility of data. This self-study course will introduce you to the principles, theory and practice of data linkage.
Learn more on Introduction to data linkageThis course aims to introduce participants to the processes of editing and imputing in surveys.
Learn more on Introduction to editing and imputationThis course introduces the concepts, motivation, and techniques for creating a Reproducible Analytical Pipeline (RAP). It explains the benefits of RAP and gives guidance to help you overcome common problems with it.
Learn more on Introduction to Reproducible Analytical Pipelines (RAP)This eLearning course aims to introduce participants to the main concepts of disclosure control.
Learn more on Introduction to Statistical Disclosure Control