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Author: Amelia Parnell Publisher: Taylor & Francis ISBN: 1000978699 Category : Education Languages : en Pages : 134
Book Description
Internal and external pressure continues to mount for college professionals to provide evidence of successful activities, programs, and services, which means that, going forward, nearly every campus professional will need to approach their work with a data-informed perspective.But you find yourself thinking “I am not a data person”.Yes, you are. Or can be with the help of Amelia Parnell.You Are a Data Person provides context for the levels at which you are currently comfortable using data, helps you identify both the areas where you should strengthen your knowledge and where you can use this knowledge in your particular university role.For example, the rising cost to deliver high-quality programs and services to students has pushed many institutions to reallocate resources to find efficiencies. Also, more institutions are intentionally connecting classroom and cocurricular learning experiences which, in some instances, requires an increased gathering of evidence that students have acquired certain skills and competencies. In addition to programs, services, and pedagogy, professionals are constantly monitoring the rates at which students are entering, remaining enrolled in, and leaving the institution, as those movements impact the institution’s financial position.From teaching professors to student affairs personnel and beyond, Parnell offers tangible examples of how professionals can make data contributions at their current and future knowledge level, and will even inspire readers to take the initiative to engage in data projects.The book includes a set of self-assessment questions and a companion set of action steps and available resources to help readers accept their identity as a data person. It also includes an annotated list of at least 20 indicators that any higher education professional can examine without sophisticated data analyses.
Author: Amelia Parnell Publisher: Taylor & Francis ISBN: 1000978699 Category : Education Languages : en Pages : 134
Book Description
Internal and external pressure continues to mount for college professionals to provide evidence of successful activities, programs, and services, which means that, going forward, nearly every campus professional will need to approach their work with a data-informed perspective.But you find yourself thinking “I am not a data person”.Yes, you are. Or can be with the help of Amelia Parnell.You Are a Data Person provides context for the levels at which you are currently comfortable using data, helps you identify both the areas where you should strengthen your knowledge and where you can use this knowledge in your particular university role.For example, the rising cost to deliver high-quality programs and services to students has pushed many institutions to reallocate resources to find efficiencies. Also, more institutions are intentionally connecting classroom and cocurricular learning experiences which, in some instances, requires an increased gathering of evidence that students have acquired certain skills and competencies. In addition to programs, services, and pedagogy, professionals are constantly monitoring the rates at which students are entering, remaining enrolled in, and leaving the institution, as those movements impact the institution’s financial position.From teaching professors to student affairs personnel and beyond, Parnell offers tangible examples of how professionals can make data contributions at their current and future knowledge level, and will even inspire readers to take the initiative to engage in data projects.The book includes a set of self-assessment questions and a companion set of action steps and available resources to help readers accept their identity as a data person. It also includes an annotated list of at least 20 indicators that any higher education professional can examine without sophisticated data analyses.
Author: Amelia R. Parnell Publisher: ISBN: 9781642671384 Category : Data mining Languages : en Pages : 0
Book Description
"The book includes a set of self-assessment questions and a companion set of action steps and available resources to help readers accept their identity as a data person. The project also includes an annotated list of at least 20 indicators that any higher education professional can examine without sophisticated data analyses"--
Author: Colin Koopman Publisher: University of Chicago Press ISBN: 022662658X Category : Philosophy Languages : en Pages : 281
Book Description
We are now acutely aware, as if all of the sudden, that data matters enormously to how we live. How did information come to be so integral to what we can do? How did we become people who effortlessly present our lives in social media profiles and who are meticulously recorded in state surveillance dossiers and online marketing databases? What is the story behind data coming to matter so much to who we are? In How We Became Our Data, Colin Koopman excavates early moments of our rapidly accelerating data-tracking technologies and their consequences for how we think of and express our selfhood today. Koopman explores the emergence of mass-scale record keeping systems like birth certificates and social security numbers, as well as new data techniques for categorizing personality traits, measuring intelligence, and even racializing subjects. This all culminates in what Koopman calls the “informational person” and the “informational power” we are now subject to. The recent explosion of digital technologies that are turning us into a series of algorithmic data points is shown to have a deeper and more turbulent past than we commonly think. Blending philosophy, history, political theory, and media theory in conversation with thinkers like Michel Foucault, Jürgen Habermas, and Friedrich Kittler, Koopman presents an illuminating perspective on how we have come to think of our personhood—and how we can resist its erosion.
Author: Hadley Wickham Publisher: "O'Reilly Media, Inc." ISBN: 1491910364 Category : Computers Languages : en Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: Martin Kleppmann Publisher: "O'Reilly Media, Inc." ISBN: 1491903104 Category : Computers Languages : en Pages : 658
Book Description
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Author: Thomas H. Davenport Publisher: Harvard Business Press ISBN: 1422177696 Category : Business & Economics Languages : en Pages : 231
Book Description
As a follow-up to the successful Competing on Analytics, authors Tom Davenport, Jeanne Harris, and Robert Morison provide practical frameworks and tools for all companies that want to use analytics as a basis for more effective and more profitable decision making. Regardless of your company's strategy, and whether or not analytics are your company's primary source of competitive differentiation, this book is designed to help you assess your organization's analytical capabilities, provide the tools to build these capabilities, and put analytics to work. The book helps you answer these pressing questions: What assets do I need in place in my organization in order to use analytics to run my business? Once I have these assets, how do I deploy them to get the most from an analytic approach? How do I get an analytic initiative off the ground in the first place, and then how do I sustain analytics in my organization over time? Packed with tools, frameworks, and all new examples, Analytics at Work makes analytics understandable and accessible and teaches you how to make your company more analytical.
Author: Giorgia Lupi Publisher: Chronicle Books ISBN: 1616895462 Category : Design Languages : en Pages : 304
Book Description
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.
Author: Publisher: ببلومانيا للنشر والتوزيع ISBN: Category : Business & Economics Languages : en Pages : 304
Book Description
You can go after the job you want…and get it! You can take the job you have…and improve it! You can take any situation you’re in…and make it work for you! Since its release in 1936, How to Win Friends and Influence People has sold more than 30 million copies. Dale Carnegie’s first book is a timeless bestseller, packed with rock-solid advice that has carried thousands of now famous people up the ladder of success in their business and personal lives. As relevant as ever before, Dale Carnegie’s principles endure, and will help you achieve your maximum potential in the complex and competitive modern age. Learn the six ways to make people like you, the twelve ways to win people to your way of thinking, and the nine ways to change people without arousing resentment.
Author: Annette Lareau Publisher: University of Chicago Press ISBN: 022680660X Category : Social Science Languages : en Pages : 334
Book Description
This book will help you: Understand the importance of talking to others, including listening to feedback from others while conducting research Recognize that there is not only one right way to sculpt your study Learn how to plan the early stages of a project such as designing the study and choosing whom to study See how to navigate the IRB and how to perform practical matters while collecting data Learn how to plan before an interview and how to construct an interview guide Read real-life interviews with notes showing what probes work well and which are less successful A down-to-earth, practical guide for interview and participant observation and analysis. In-depth interviews and close observation are essential to the work of social scientists, but inserting one’s researcher-self into the lives of others can be daunting, especially early on. Esteemed sociologist Annette Lareau is here to help. Lareau’s clear, insightful, and personal guide is not your average methods text. It promises to reduce researcher anxiety while illuminating the best methods for first-rate research practice. As the title of this book suggests, Lareau considers listening to be the core element of interviewing and observation. A researcher must listen to people as she collects data, listen to feedback as she describes what she is learning, listen to the findings of others as they delve into the existing literature on topics, and listen to herself in order to sift and prioritize some aspects of the study over others. By listening in these different ways, researchers will discover connections, reconsider assumptions, catch mistakes, develop and assess new ideas, weigh priorities, ponder new directions, and undertake numerous adjustments—all of which will make their contributions clearer and more valuable. Accessibly written and full of practical, easy-to-follow guidance, this book will help both novice and experienced researchers to do their very best work. Qualitative research is an inherently uncertain project, but with Lareau’s help, you can alleviate anxiety and focus on success.
Author: Amelia Parnell
Author: Amelia Parnell
Author: Amelia R. Parnell
Author: Colin Koopman
Author: Hadley Wickham
Author: Martin Kleppmann
Author: Thomas H. Davenport
Author: Viktor Mayer-Schönberger
Author: Giorgia Lupi
Author: 
Author: Annette Lareau