From Data To Decision With AI

Overview

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In this specialization, learners will use generative AI as both a statistical programming language and as a tutor to help understand basic statistics. Beginning with the basics of formulating research questions, the specialization then moves on to descriptive statistics and graphics and some of the basics of predictive analysis, all without requiring any coding skills.

Syllabus

Course 1: From Data to Decisions: Getting Started with AI
Course 2: From Data to Decisions: Finding Patterns with AI
Course 3: From Data to Decisions: Making Predictions with AI

Courses

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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.
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This course is intended for individuals who'd like to work with data from their organization but don't know where to start. We'll combine generative AI and your insights to structure research questions, understand the variables in your dataset, and begin describing the data for the purpose of generating insights into better decisions. After taking this course, learners will know how to identify the outcomes and predictors in a dataset and how to summarize different types of variables in a dataset using generative AI.
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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.