Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velasquez
Data Science in Education Using R
Data Science in Education Using R
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Data Science in Education Using R is the go-to reference for learning data science in the education field, offering eight analysis walkthroughs and teaching programming building blocks. It is a valuable resource for education professionals and researchers looking to increase their data analysis skills.
Format: Paperback / softback
Length: 284 pages
Publication date: 27 October 2020
Publisher: Taylor & Francis Ltd
Data Science in Education Using R
Data science has become an increasingly important field in education, and Data Science in Education Using R is the go-to reference for learning data science in this field. The book answers important questions such as what a data scientist in education does, how to get started learning R, and what a data analysis project in education looks like. Whether you are just getting started with R in an education job or are looking to increase your data analysis skills, this book is an essential resource.
The book takes a learn by doing approach, offering eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. These walkthroughs cover a range of topics, including descriptive statistics, hypothesis testing, and regression analysis, and are designed to help you build a strong foundation in R.
In addition to the walkthroughs, the book also provides valuable information on how to get involved in the data science community and how to integrate data science into your education job. It offers insights into the latest trends and technologies in data science, as well as tips and strategies for successful data analysis and visualization.
Overall, Data Science in Education Using R is a comprehensive and practical guide that will be an essential resource for education professionals and researchers looking to increase their data analysis skills. Whether you are a beginner or an experienced data scientist, this book will help you achieve your goals and advance your career in education.
Weight: 586g
Dimension: 175 x 246 x 21 (mm)
ISBN-13: 9780367422257
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