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Title | Data Science in Education Using |
Description | Bookdown for ‘Data Science in Education Using R’ by Emily A. Bovee, Ryan A. Estrellado, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez to be published by Routledge in |
Keywords | N/A |
WebSite | datascienceineducation.com |
Host IP | 67.207.81.229 |
Location | United States |
Site | Rank |
US$2,290,864
Last updated: 2023-04-27 06:40:29
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Purchase/Sale Value | US$2,290,864 |
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Data Science in Education Using R Welcome Prologue Acknowledgments Dedications Citation Purchasing the book Reviews 1 Introduction: Data Science in Education - You’re Invited to the Party! 1.1 Learning Data Science in Education 1.2 Making the Path a Little Clearer 1.3 Conventions Used in the Book 2 How to Use this Book 2.1 Different Strokes for Different Data Scientists in Education 2.1.1 Read the Book Cover to Cover (and How to Keep Going) 2.1.2 Pick a Chapter of Interest and Start There 2.1.3 Read Through the Walkthroughs and Run the Code 2.2 A Note on Statistics 2.3 What This Book Is Not About 2.4 Supporting the Book 2.5 Contributing to the Book 3 What Does Data Science in Education Look Like? 3.1 Data Roles in Education 3.1.1 Building Systems That Get Data to the Right People 3.1.2 Measuring the Impact of Our Work on the Student Experience 3.1.3 Looking for Patterns in Student Data 3.1.4 Improving How We Use Statistical Models in Education 3.2 Defining The Process of Data Science |
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