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Statistics and Data Science for Teachers

2021 Statistics
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Release : 2021
Genre : Statistics
Kind : eBook
Book Rating : 545/5 ( reviews)

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Book Synopsis Statistics and Data Science for Teachers by : Anna Bargagliotti

Download or read book Statistics and Data Science for Teachers written by Anna Bargagliotti. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt: "A main goal of Statistics and Data Science for Teachers is to provide teacher educators with a resource to guide entire courses and professional development, or portions of courses and professional development when preparing teachers of all school level grade levels to teach the foundations of statistics and data science in their classrooms. In supporting the spirit of Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II), this book presents statistical ideas through investigations and engagement with the statistical problem-solving process of formulating statistical investigative questions, collecting/considering data, analyzing data, and interpreting results"--

Data Science in Education Using R

2020-10-26 Education
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Release : 2020-10-26
Genre : Education
Kind : eBook
Book Rating : 906/5 ( reviews)

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Book Synopsis Data Science in Education Using R by : Ryan A. Estrellado

Download or read book Data Science in Education Using R written by Ryan A. Estrellado. This book was released on 2020-10-26. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bridging the Gap Between Common Core State Standards and Teaching Statistics

2012 Mathematical statistics
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Release : 2012
Genre : Mathematical statistics
Kind : eBook
Book Rating : 517/5 ( reviews)

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Book Synopsis Bridging the Gap Between Common Core State Standards and Teaching Statistics by : Patrick Hopfensperger

Download or read book Bridging the Gap Between Common Core State Standards and Teaching Statistics written by Patrick Hopfensperger. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt:

Data Science for Undergraduates

2018-11-11 Education
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Release : 2018-11-11
Genre : Education
Kind : eBook
Book Rating : 597/5 ( reviews)

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Book Synopsis Data Science for Undergraduates by : National Academies of Sciences, Engineering, and Medicine

Download or read book Data Science for Undergraduates written by National Academies of Sciences, Engineering, and Medicine. This book was released on 2018-11-11. Available in PDF, EPUB and Kindle. Book excerpt: Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

Teaching Statistics

2002-08-08 Mathematics
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Release : 2002-08-08
Genre : Mathematics
Kind : eBook
Book Rating : 995/5 ( reviews)

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Book Synopsis Teaching Statistics by : Andrew Gelman

Download or read book Teaching Statistics written by Andrew Gelman. This book was released on 2002-08-08. Available in PDF, EPUB and Kindle. Book excerpt: Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling.

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