Jesse Lawson: Data Science in Higher Education : A Step-By-Step Introduction to Machine Learning for Institutional Researchers
Description
Over 1,000 copies sold! Be the change your institution needs. What are leaders in research saying about Data Science in Higher Education? "Where has this book been all these years? This is THE starting point for researchers looking for a leg up in today's college environment. Two parts discussion, one part methodology, and one part witty humor. I love it!" "Buy this book for your analysts. They and your college will thank you." "This is the only book on data science specific for higher education research that covers both theory and practice. I'm not a programmer at all, and I found this book very enjoyable. You wont regret it -- I know I don't!" "When our department was tasked with coming up with a predictive 'machine-learning' model, we hired Jesse to help us. His charisma and knowledge are unmatched, and this book only helps to breathe fresh life into issues in research today that are all too often swept under the rug." Discover the tools to take your institution to the next level! Data Science in higher education is the process of turning raw institutional data into actionable intelligence. With this introduction to foundational topics in machine learning and predictive analytics, ambitious leaders in research can develop and employ sophisticated predictive models to better inform their institution's decision-making process. You don't need an advanced degree in math or statistics to do data science. With the open-source statistical programming language R, you'll learn how to tackle real-life institutional data challenges (with actual institutional data!) by going step-by-step through different case studies. Topics include: Simple, Multiple, & Logistic Regression Techniques, and Naive Bayes Classifiers Best Practices for Data Scientists in Higher Education Narrative-style stories, gotchas, and insights from actual data science jobs at colleges and universities "Forget the textbooks. This is a book on data science written for institutional researchers *by* an institutional researcher. You need this book." ------------------------------------------ Data Science is the art of carefully picking through that pile of book pages and putting together a complete book. It's the art of developing a narrative for your data, so that all the raw information that your institution warehouses and reports in bar charts and histograms is replaced with actionable intelligence. Here's what we know: Data science can and should be an integral part of college and university operations. Institutional effectiveness should be working side-by-side with faculty and educators to collect, clean, and mine through data of current and past students' behaviors in order to better empower counseling and advisement services (whether virtual or otherwise). Data itself should be considered an asset to an institution, and the data mining process a necessary function of institutional operations. So how do we do it? It starts with a solid perspective and great research tools. With Data Science in Higher Education you'll learn about and solve real-world institutional problems with open-source tools and machine learning research techniques. Using R, you'll tackle case studies from real colleges and develop predictive analytical solutions to problems that colleges and universities face to this day.
Easy-to-use maps help you discover the highlights and hidden gems that will make your trip unique. When a young trooper is shot in the head at the Regiment's renowned Killing House, Nick Stone is perfectly qualified to investigate the mysterious circumstances more deeply. He has just returned from Moscow - still trying to come to terms with the fact that his girlfriend and baby son are safer there without him - so combines an unrivalled understanding of the Special Forces landscape with a detachment that should allow him to remain in cover. But less than forty-eight hours later, a second death catapults him back into the firing line - into the telescopic sights of an unknown assassin bent on protecting a secret that could strike at the heart of the establishment that Stone has, in his maverick fashion, spent most of his life fighting to protect. And now the clock is ticking, Stone hurtles from the solitude of a remote Welsh confessional to Glencoe - whose shadows still whisper of murder and betrayal - and on to Southern Spain, in an increasingly desperate quest Data Science in Higher Education : A Step-By-Step Introduction to Machine Learning for Institutional Researchers pdf to uncover the truth about a chain of events that began in the darkness of an Afghan hillside, and left a young man haunted by the never-ending screams of a friend the Taliban skinned alive.
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Author: Jesse Lawson
Number of Pages: 176 pages
Published Date: 06 Sep 2015
Publisher: Createspace Independent Publishing Platform
Publication Country: United States
Language: English
ISBN: 9781515206460
Download Link: Click Here
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