From Data to Decisions: Getting Started with AI
This course is part of From Data To Decision With AI.
This beginner-friendly course is designed for individuals who want to work with data in their organization but don't know where to start. It combines generative AI with personal insights to help learners structure research questions, understand variables in datasets, and describe data effectively to generate insights for better decision-making. The course covers fundamental concepts like identifying outcomes and predictors in datasets, distinguishing between continuous and categorical variables, and using generative AI tools to summarize different types of data. Through practical assignments and quizzes, students develop skills to formulate research questions and analyze data meaningfully. No prior experience is required - just an eagerness to explore data. By the end, learners will be equipped with essential knowledge to begin their data analysis journey and make more informed decisions using AI-assisted approaches.
Instructors:
English
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What you'll learn
Formulate effective research questions for data analysis
Identify dependent and independent variables in datasets
Distinguish between continuous and categorical variables
Create AI prompts to describe and summarize different data types
Generate insights from organizational data for better decision-making
Use generative AI tools to enhance data interpretation
Skills you'll gain
This course includes:
0.7 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
Batch access
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There are 4 modules in this course
This course provides foundational knowledge for working with data and making informed decisions using AI. Students learn to identify and distinguish between different types of variables in datasets, formulate effective research questions, and use generative AI to describe and summarize data. The curriculum covers dependent and independent variables, continuous and categorical variables, and techniques for data description. Through practical assignments, students gain hands-on experience creating prompts for generative AI to analyze various data types. The course emphasizes building analytical skills that allow individuals to extract meaningful insights from organizational data for better decision-making.
Getting Started With Data Analysis
Module 1 · 27 Minutes to complete
Types of Variables
Module 2 · 37 Minutes to complete
Describing Variables Using Generative AI
Module 3 · 1 Hours to complete
Conclusion
Module 4 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: From Data To Decision With AI
Instructor
Department Chair, Department of Leadership, Policy, and Organizations
Will Doyle is a professor of public policy and higher education in the department of Leadership, Policy and Organizations at Peabody College of Vanderbilt University. Doyle serves as Editor-in-Chief of Research in Higher Education. His research includes evaluating the impact of higher education policy, the antecedents and outcomes of higher education policy at the state level and the study of political behavior as it affects higher education. Prior to joining the faculty at Vanderbilt, he was Senior Policy Analyst at the National Center for Public Policy and Higher Education. Doyle received a Master’s degree in Political Science and a PhD in Higher Education Administration from Stanford University in 2004. Doyle's recent work has explored the link between geographic opportunity for higher education and its impact on both earnings and civic outcomes. His recent policy-related work has examined the status of college affordability in every sector of higher education in all 50 states.
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