Introduction: Data Science in Education -- You're Invited to the Party! -- How to Use this Book -- What Does Data Science in Education Look Like? -- Special Considerations -- Getting Started with R and RStudio -- Foundational Skills -- Walkthrough 1: The Education Data Science Pipeline with Online Science Class Data -- Walkthrough 2: Approaching Gradebook Data from a Data Science Perspective -- Walkthrough 3: Using School-Level Aggregate Data to Illuminate Educational Inequities -- Walkthrough 4: Longitudinal Analysis with Federal Students with Disabilities Data -- Walkthrough 5: Text Analysis with Social Media Data -- Walkthrough 6: Exploring Relationships Using Social Network Analysis with Social Media Data -- Walkthrough 7: The Role (and Usefulness) of Multilevel Models -- Walkthrough 8: Predicting Students' Final Grades Using Machine Learning Methods with Online Course Data -- Introducing Data Science Tools to Your Education Job -- Teaching Data Science -- Learning More -- Additional Resources -- Conclusion: Where to Next?
Summary:
"This book provides educational analysts and educators with practical tools to start working in data science and data analysis - using the data usefully that is generated by school districts, government agencies, and education businesses. The authors demonstrate the principles of analysis working with R and walkthrough various scenarios and projects to show the outcome of the analysis. The book will teach education professionals to apply programming and statistics to prepare data, transform it, visualize it, and analyze it to answer questions that are pertinent to their daily roles"-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.