This textbook serves as a foundational component in a series of proficiency-based Dari materials designed for adult learners. The Teacher's Edition provides a thorough framework for teaching Dari's speaking, writing, listening, and reading aspects, complete with exercise instructions and solutions. Targeting ACTFL's Novice High/Intermediate Low or ILR levels 0+/1, it emphasizes critical thinking and incorporates pedagogical strategies like Bloom's Taxonomy for intellectual growth. Interactive activities included in the PDF and EPUB formats, available on the LMI website (languagementors.org), make learning Dari dynamic and engaging.

This series of proficiency-based Dari textbooks, meticulously crafted for adult learners from novice to advanced levels (ACTFL, 2017), dives deep into the nuances of both colloquial and formal Dari. It empowers learners to engage in authentic, culturally rich conversations with native speakers. Tailored editions for both students and teachers provide clear pathways for mastering speaking, writing, listening, and reading skills, while equipping educators with effective strategies to utilize these materials. The teacher's edition is packed with detailed instructions and answers to exercises, ensuring a comprehensive learning experience.

Targeting ACTFL advanced level or ILR level 2 proficiency, our series places a strong emphasis on critical thinking and transformative learning. Incorporating sophisticated methodologies such as Bloom's Taxonomy and Mezirow’s transformative models, it creates an environment conducive to intellectual growth and innovation. Available in PDF and EPUB formats through the LMI website Dari course (languagementors.org), the textbooks include interactive activities that make learning Dari a dynamic and engaging process.

This initiative directly addresses the urgent need for high-quality Dari language resources, greatly enhancing learners' linguistic abilities and cultural understanding.

This open resources textbook contains 10 Units that describe and explain the main concepts in statistical analysis of psychological data (managing data, measures of central tendency, measures of spread, correlations, simple linear regression). In addition to conceptual descriptions and explanations of the basic analyses for descriptive statistics, this textbook also explains how to conduct those analyses with common statistical software (Excel) and open-source free software (R). This book is directed to undergraduates studying basic statistics, especially basic statistics in psychological research.

Short Description:
This open resources textbook contains 10 Units that describe and explain the main concepts in statistical analysis of psychological data. In addition to conceptual descriptions and explanations of the basic analyses for descriptive statistics, this textbook also explains how to conduct those analyses with common statistical software (Excel) and open-source free software (R).

Word Count: 27173

(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.)

Short Description:
Data analytics is a rapidly evolving field. In today's labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, "a new online course" if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions.

Long Description:
Data analytics is a rapidly evolving field. In today’s labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, “a new online course” if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions.

Word Count: 2054

(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.)

Short Description:
Data analytics is a rapidly evolving field. In today's labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, "a new online course" if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions.

Long Description:
Data analytics is a rapidly evolving field. In today’s labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, “a new online course” if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions.

Word Count: 2038

(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.)

Beta Version

Word Count: 92165

ISBN: 979-8-88895-422-5

(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.)

When you combine the sheer scale and range of digital information now available with a journalist’s "nose for news" and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field.

This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both.

Course Description: This course covers the management of healthcare data, selected data management topics with current importance in the field, and how to use statistical methods in data analysis.

Learning Objectives: Upon completion of the course students should be able to:
1. Describe analytics and decision support.
2. Validate the reliability and accuracy of secondary data sources.
3. Identify data sources requiring data management and analytics skills.
4. Demonstrate the statistical methods used in data analysis.

A Claremont Graduate University EDUC 448 Fall 2021 Course Publication

Short Description:
This glossary is intended to support professionals who are seeking to understand Data Management and Governance in the context of K-12 and higher education. The definitions included in this ebook provide a fundamental understanding of common Data Management and Governance terms. This glossary was co-created by education professionals and graduate students enrolled in Claremont Graduate University’s EDUC 448: Data Management & Governance course taught by Dr. Gwen Garrison, PhD during the Fall 2021 semester.

Word Count: 2578

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The Data Renaissance delves into the complexities of data's role in various industries and its broader impact on society. It highlights the challenges in investigating data practices, citing examples like TikTok, where algorithms and data handling are closely guarded secrets. The content, contributed by students under the guidance of an expert, covers a wide range of topics, including the ethical aspects of generative AI in education and the workplace, and case studies reflecting real-world experiences. This evolving text, intended to be updated with each class, serves as a dynamic resource for educators and students alike, offering insights and discussion guides for an in-depth understanding of the ever-changing landscape of data in our digital age.

This is a textbook for teaching data science using the Python programming language at a general first year undergraduate level.

This is a textbook for teaching data science using the R programming language at a general first year undergraduate level.

Data Science and AI in Psychology is an interactive eTextbook that provides an introduction to data science, big data, and machine learning in psychology. It covers current trends in data science and big data in the field of psychology (Chapter 1), applications of AI in the field of psychology (Chapter 2), the psychology of data visualization (Chapter 3), data ethics (Chapter 4), an introduction to how machines learn (Chapter 5), a hands-on guide for reading and critiquing machine learning research articles that are relevant to psychological topics (Chapters 6 and 7), and an introduction to coding in Python (Chapter 8). This eTextbook also includes an introduction to ChatGPT and tips for using ChatGPT to assist with writing and coding without plagiarizing (Chapters 6 and 8). This is an interactive resource that provides students with opportunities to engage with their peers and develop critical thinking skills through problem-based, active learning.

Word Count: 6664

Included H5P activities: 11

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Cleaning, reshaping, and transforming data for analysis and visualization, with R and the Tidyverse

Word Count: 3515

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Short Description:
Database Design - 2nd Edition covers database systems and database design concepts. New to this edition are SQL info, additional examples, key terms and review exercises at the end of each chapter.

Long Description:
This second edition of Database Design book covers the concepts used in database systems and the database design process. Topics include: The history of databases Characteristics and benefits of databases Data models Data modelling Classification of database management systems Integrity rules and constraints Functional dependencies Normalization Database development process

Word Count: 30650

(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.)

Database Design - 2nd Edition covers database systems and database design concepts. New to this edition are SQL info, additional examples, key terms and review exercises at the end of each chapter.

This second edition of Database Design book covers the concepts used in database systems and the database design process.

Database Security is the utmost key part for any type of database, .for example financial information, personal information, employee information and enterprise information. This book will cover following topics such as creating and altering database user, password profiling, various privileges and virtual private database. All the topics are implemented by using oracle 11g software. Especially for readers this book will give clarity about database security concepts such as Authorization, Authentication and Access control. The practical part using oracle provides how to carry out database security concepts technically for the reader.