Course Catalog

Codebooks and Data Dictionaries: Developing and Working with Metadata

Description Metadata is essential in documenting, organizing, and maximizing the utility of data. This course focuses on the creation, organization, and use of metadata, particularly codebooks and data dictionaries. It introduces key concepts for managing metadata documentation and highlights the . . .

Introduction to SQL for Corrections Analysts

Description This course focuses on teaching the foundational skills and concepts needed to use SQL (Structured Query Language) for querying and analyzing data in relational databases. SQL is a powerful and widely used tool for managing data, conducting basic analysis, . . .

Leading on Data

Description This course was created by the CSG Justice Center team with input from the Correctional Leaders Association (CLA) and designed for department of corrections executive leadership teams. In this course, you’ll find short, practical lessons to either help you . . .

Calculating Recidivism Rates

Description Recidivism is perhaps the most important metric tracked by criminal justice and corrections analysts. It can be measured in several ways, but its main goal is to analyze the rate at which people released from incarceration return to criminal . . .

Cross-Systems Data Sharing

Description By sharing data across systems, your agency can learn more about the population it serves, improve operations and outcomes, evaluate programs or policy changes, and help other agencies do the same. Opportunities for cross-systems data sharing will require corrections . . .

Data Quality Fundamentals: Strategies for Success

Description This course is an introduction to data quality, particularly within the criminal justice system and corrections. Accurate and reliable data are crucial for evidence-based decision-making, accountability and transparency, and building and maintaining trust to guide policy and informed decisions. . . .

Introduction to R for Corrections Analysts

Description This course focuses on teaching the basic skills and concepts needed to use the R statistical programming language for working with data and running reproducible analysis. The R language is a powerful and flexible tool used for data analysis, . . .