Description
| Product ID: | 9780367422257 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Data Science in Education Using R |
| Authors: | Author: Emily Freer, Ryan A. Estrellado, Joshua M. Rosenberg, Isabella C. Velasquez |
| Page Count: | 304 |
| Subjects: | Research methods: general, Research methods: general, Higher education, tertiary education, Probability and statistics, Higher & further education, tertiary education, Probability & statistics |
| Description: | Select Guide Rating 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. Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development. |
| Imprint Name: | Routledge |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2020-10-27 |
