Introduction to Stata

This workshop introduces the functionality of Stata with a focus on data analysis for scientific research. We will discuss the basic Stata interface and do-files, as well as explore commands to import data, create and modify variables, summarize variables, combine data sets and perform basic statistical analyses. No experience with Stata is assumed. The workshop...
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Machine Learning for Scientific Research Part 1

While machine learning methods have traditionally been used for prediction in fields like industry and technology, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications. Part 1 discusses core concepts such as prediction accuracy, the bias-variance tradeoff, and cross-validation. Part...
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Machine Learning for Scientific Research Part 2

While machine learning methods have traditionally been used for prediction in fields like industry and technology, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications. Part 1 discusses core concepts such as prediction accuracy, the bias-variance tradeoff, and cross-validation. Part...
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UCLA OARC