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October 7, 2024
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Learn to Harness Generative AI for Data Analysis . Learn the basics of data analysis, including structuring questions, finding patterns, and making predictions, using generative AI.
Instructor: William Doyle
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Identify variables, analyze data insights, and generate results using generative AI to support evidence-based decisions in research.
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November 2024
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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.
Applied Learning Project
In 1 - 2 sentences, describe the nature of the included projects and how learners will apply the skills to solve an authentic problem. i.e., “Learners will build a complete functional Android app by applying knowledge and skills including Java Programming, Android Studio Tools, etc.”
How to formulate research questions.
How to summarize different types of data
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.
Vanderbilt University, located in Nashville, Tenn., is a private research university and medical center offering a full-range of undergraduate, graduate and professional degrees.
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This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.