This textbook was written for a community college introductory course in spreadsheets utilizing Microsoft Excel. While the figures shown utilize Excel 2019, the textbook was written to be applicable to other versions of Excel as well. The book introduces new users to the basics of spreadsheets and is appropriate for students in any major who have not used Excel before. This textbook includes instructions for Excel for Mac also.

What is this book? This book is designed as a quick introduction to authoring metadata using basic elements from the Dublin Core Metadata Initiative.

POGIL is a research-based instruction strategy comprising peer learning, development of process skills, and activities that are designed around the constructivist theory of learning cycles (pogil.org).

Guided Inquiry Activities for Programming Language Concepts is a collection of activities intended to support the use of POGIL in intermediate-level undergraduate computer science courses on functional programming and the implementation of programming languages.

Disclaimer: These activities have not yet undergone the peer-review process of The POGIL Project and so cannot be labeled "POGIL activities" ; however, they are designed based on the POGIL approach to designing activities.

Short Description:
This book offers a wealth of instructional material on the topic of research article writing for publication and thesis or dissertation completion. The text provides graduate student writers with helpful information, strategies, and tips on navigating disciplinary writing in their fields and how to understand, dissect, and ultimately, construct their own research article. The text is organized according to a standard research article format, breaking down each section of the empirical research in a simple and straightforward manner to help graduate students build a quality, argument-driven manuscript as they write up their empirical study findings.

Long Description:
This book offers a wealth of instructional material on the topic of research article writing for publication and thesis or dissertation completion. The text provides graduate student writers with helpful information, strategies, and tips on navigating disciplinary writing in their fields and how to understand, dissect, and ultimately, construct their own research article. The text is organized according to a standard research article format, breaking down each section of the empirical research in a simple and straightforward manner to help graduate students build a quality, argument-driven manuscript as they write up their empirical study findings.

Word Count: 48652

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

This is the website for “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.