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.
What is the story behind data coming to matter so much to who we are?
The tools and techniques in this book will revolutionize your products' performance in every one of those areas, but don't expect the data person to do it all! 1.2.2 Why churn is hard to fight Now that you ...
This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story.
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.
How do you maintain Data Hub Architecture's Integrity? Has the Data Hub Architecture work been fairly and/or equitably divided and delegated among team members who are qualified and capable to perform the work? Has everyone contributed?
In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Too often data has been used--and manipulated--to make policy decisions without much stakeholder input.
The authors illustrate how to use data as a catalyst for significant, systematic, and continuous improvement in instruction and learning. Includes a CD-ROM with slides and reproducibles.
Do the Data parallelism decisions we make today help people and the planet tomorrow?
The purpose o this book is to deliver all the information you have to know in the simplest away possible so every person can understand it.
How will we insure seamless interoperability of Data service unit moving forward? What are all of our Data service unit domains and what do they do? How do we Lead with Data service unit in Mind?