Driven by Data

Driven by Data
Author: Paul Bambrick-Santoyo
Publisher: John Wiley & Sons
Total Pages: 336
Release: 2010-04-12
Genre: Education
ISBN: 0470548746

Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.

Statistics

Statistics
Author: Michael Sullivan
Publisher: Pearson Education
Total Pages: 0
Release: 2013
Genre: Statistics
ISBN: 9780321757272

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Michael Sullivan's Statistics: Informed Decisions Using Data, Fourth Edition, connects statistical concepts to students' lives, helping them to think critically, become informed consumers, and make better decisions. Throughout the book, "Putting It Together" features help students visualize the relationships among various statistical concepts. This feature extends to the exercises, providing a consistent vision of the bigger picture of statistics. This book follows the Guidelines for Assessment and Instruction in Statistics Education (GAISE), as recommended by the American Statistical Association, and emphasizes statistical literacy, use of real data and technology, conceptual understanding, and active learning.

The Data Science Design Manual

The Data Science Design Manual
Author: Steven S. Skiena
Publisher: Springer
Total Pages: 456
Release: 2017-07-01
Genre: Computers
ISBN: 3319554441

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

The Art of Electronics Student Manual

The Art of Electronics Student Manual
Author: Thomas C. Hayes
Publisher:
Total Pages: 638
Release: 1989-09-29
Genre: Science
ISBN:

This manual provides a set of course materials tailored to students' needs, moving quickly where appropriate and slowly on more difficult concepts.

Information Now

Information Now
Author: Matt Upson
Publisher: University of Chicago Press
Total Pages: 124
Release: 2015-10-26
Genre: Reference
ISBN: 022626775X

Every day researchers face an onslaught of irrelevant, inaccurate, and sometimes insidious information. While new technologies provide powerful tools for accessing knowledge, not all information is created equal. Valuable information may be tucked away on a shelf, buried on the hundredth page of search results, or hidden behind digital barriers. With so many obstacles to effective research, it is vital that higher education students master the art of inquiry. Information Now is an innovative approach to information literacy that will reinvent the way college students think about research. Instead of the typical textbook format, it uses illustrations, humor, and reflective exercises to teach students how to become savvy researchers. Students will learn how to evaluate information, to incorporate it into their existing knowledge base, to wield it effectively, and to understand the ethical issues surrounding its use. Written by two library professionals, it incorporates concepts and skills drawn from the Association of College and Research Libraries’ Information Literacy Competency Standards for Higher Education and their Framework for Information Literacy for Higher Education. Thoroughly researched and highly engaging, Information Now offers the tools that students need to become powerful consumers and creators of information. Whether used by a high school student tackling a big paper, an undergrad facing the newness of a university library, or a writer wanting to go beyond Google, Information Now is a powerful tool for any researcher’s arsenal.

Facilitating Evidence-Based, Data-Driven School Counseling

Facilitating Evidence-Based, Data-Driven School Counseling
Author: Brett Zyromski
Publisher: Corwin Press
Total Pages: 163
Release: 2016-02-26
Genre: Education
ISBN: 1506334482

Counselors make a difference—and now you can prove it. As students’ needs change, dedicated school counselors have been evolving their practice. You see the results every day, on the faces of the at-risk students you serve. To meet accountability standards, though, you need more than faces: You need data the number-crunchers can understand. With this user-friendly manual, make the shift to evidence-based practices and interventions in a data-driven, comprehensive school counseling program based on ASCA’s national model—while keeping the personal nature of your work intact. The book includes Visual guides and checklists for every step of the process Examples of successful counseling program evolution Guidance on developing and submitting a successful Recognized ASCA Model Program (RAMP) application Supporting documents in an online resource center Ensure that school counseling is recognized as an essential part of school improvement and students’ academic success by using this unique and innovative model. "Provides realistic examples, clear templates, and step-by-step strategies that ease the stress of what is often seen as an overwhelming process." Judith Bookhamer, Executive Director Pennsylvania School Counselors Association "Provides succinct and straight-forward tools to assist school counselors in marrying data-based decision-making practices with evidence-based counseling to create successful outcomes. This is a school counselor′s dream!" Franciene Sabens, Professional School Counselor Chester High School, Chester, IL "Starting with creating mission and vision statements and ending with advocacy efforts, the authors outline specific ways school counselors can integrate evidence-based interventions in their programming to positively impact student outcomes." Jennifer Betters-Bubon, Assistant Professor University of Wisconsin-Whitewater

Loss Models: From Data to Decisions, 5e Student Solutions Manual

Loss Models: From Data to Decisions, 5e Student Solutions Manual
Author: Stuart A. Klugman
Publisher: John Wiley & Sons
Total Pages: 218
Release: 2018-12-18
Genre: Business & Economics
ISBN: 1119538033

Solutions manual to accompany a text with comprehensive coverage of actuarial modeling techniques The Student Solutions Manual to Accompany Loss Models: From Data to Decisions covers solutions related to the companion text. The manual and text are designed for use by actuaries and those studying for the profession. Readers can learn modeling techniques used across actuarial science. Knowledge of the techniques is also beneficial for those who use loss data to build models for risk assessment.

The Crystal Ball Instruction Manual, Volume One

The Crystal Ball Instruction Manual, Volume One
Author: Stephen Davies
Publisher:
Total Pages:
Release: 2020-08-10
Genre:
ISBN: 9781715320041

A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.