This course teaches students how to generate univariate graphics, such as histograms and box plots, using generative AI tools to automate and streamline the analysis process. Students will explore conditional means through statistical methods like ANOVA and t-tests, while also using AI to create and interpret visualizations, such as bar charts and dot plots. A key focus will be on leveraging AI to both carry out analyses and generate clear, data-driven explanations of the results. By the end, students will confidently utilize AI to enhance their data analysis and communication skills.

This course provides an applied introduction to bivariate and multiple regression, focusing on how generative AI can be used as a partner to streamline analysis and enhance prediction accuracy. Students will learn how to structure research questions, run regression models using AI tools, and interpret key outputs like coefficients and R-squared values. Emphasis is placed on practical applications, with generative AI guiding both the execution of the analysis and the explanation of results. By the end of the course, students will be able to leverage AI to predict outcomes and clearly communicate data-driven insights in real-world contexts.

If you have little experience with data analysis, we recommend starting with From Data to Decisions: Getting Started with AI and From Data to Decisions: Finding Patterns with AI to better prepare for this course.