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| financial aid for google data analytics: Big Data Analytics for Cyber-Physical System in Smart City Mohammed Atiquzzaman, Neil Yen, Zheng Xu, 2020-01-11 This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems. |
| financial aid for google data analytics: Prioritizing Enrollment Management Jason L. Meriwether, 2024-09-16 By blending norm-challenging, robust discussion on enrollment management with practical guidance for administrative and academic leaders, this book seeks to tackle long-standing issues of recruitment, retention, persistence, and completion in higher education. Traditional service delivery and the notion of “what we have always done” is no longer adequate for a new generation of college students within the evolving landscape of higher education. This text will redefine current approaches, strategies, timelines, and infrastructure for encouraging student success, communication, and delivery of student services in unique campus settings. Readers will be challenged to adapt to the shifting paradigm of enrollment management as a constant priority for university leaders who seek to shift, create, or revise enrollment planning. Discussion and recommendations in this book will reveal how a collaborative enrollment model that remains in sync with the academic enterprise can increase recruitment yield, improve student success outcomes, and impact generation of revenue. This text will provide a relevant and practical framework that guides campus policymakers to integrate academic prioritization, strategic enrollment planning, student services, and policies while emphasizing collaboration to achieve long-term and measurable outcomes. |
| financial aid for google data analytics: Big Data on Campus Karen L. Webber, Henry Y. Zheng, 2020-11-03 How data-informed decision making can make colleges and universities more effective institutions. The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound decisions. In Big Data on Campus, leading data analytics experts and higher ed leaders show the role that analytics can play in the better administration of colleges and universities. Aimed at senior administrative leaders, practitioners of institutional research, technology professionals, and graduate students in higher education, the book opens with a conceptual discussion of the roles that data analytics can play in higher education administration. Subsequent chapters address recent developments in technology, the rapid accumulation of data assets, organizational maturity in building analytical capabilities, and methodological advancements in developing predictive and prescriptive analytics. Each chapter includes a literature review of the research and application of analytics developments in their respective functional areas, a discussion of industry trends, examples of the application of data analytics in their decision process, and other related issues that readers may wish to consider in their own organizational environment to find opportunities for building robust data analytics capabilities. Using a series of focused discussions and case studies, Big Data on Campus helps readers understand how analytics can support major organizational functions in higher education, including admission decisions, retention and enrollment management, student life and engagement, academic and career advising, student learning and assessment, and academic program planning. The final section of the book addresses major issues and human factors involved in using analytics to support decision making; the ethical, cultural, and managerial implications of its use; the role of university leaders in promoting analytics in decision making; and the need for a strong campus community to embrace the analytics revolution. Contributors: Rana Glasgal, J. Michael Gower, Tom Gutman, Brian P. Hinote, Braden J. Hosch, Aditya Johri, Christine M. Keller, Carrie Klein, Jaime Lester, Carrie Hancock Marcinkevage, Gail B. Marsh, Susan M. Menditto, Jillian N. Morn, Valentina Nestor, Cathy O'Bryan, Huzefa Rangwala, Timothy Renick, Charles Tegen, Rachit Thariani, Chris Tompkins, Lindsay K. Wayt, Karen L. Webber, Henry Y. Zheng, Ying Zhou |
| financial aid for google data analytics: Predictive Analytics Ajit C. Tamhane, 2020-09-24 Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analytics and statistical learning This book covers a broad range of topics in parametric regression and classification including multiple regression, logistic regression (binary and multinomial), discriminant analysis, Bayesian classification, generalized linear models and Cox regression for survival data. The book also gives brief introductions to some modern computer-intensive methods such as classification and regression trees (CART), neural networks and support vector machines. The book is organized so that it can be used by both advanced undergraduate or masters students with applied interests and by doctoral students who also want to learn the underlying theory. This is done by devoting the main body of the text of each chapter with basic statistical methodology illustrated by real data examples. Derivations, proofs and extensions are relegated to the Technical Notes section of each chapter, Exercises are also divided into theoretical and applied. Answers to selected exercises are provided. A solution manual is available to instructors who adopt the text. Data sets of moderate to large sizes are used in examples and exercises. They come from a variety of disciplines including business (finance, marketing and sales), economics, education, engineering and sciences (biological, health, physical and social). All data sets are available at the book’s web site. Open source software R is used for all data analyses. R codes and outputs are provided for most examples. R codes are also available at the book’s web site. Predictive Analytics: Parametric Models for Regression and Classification Using R is ideal for a one-semester upper-level undergraduate and/or beginning level graduate course in regression for students in business, economics, finance, marketing, engineering, and computer science. It is also an excellent resource for practitioners in these fields. |
| financial aid for google data analytics: Building Organizational Capacity and Strategic Management in Academia Kayyali, Mustafa, 2024-11-01 As higher education institutions face challenges like technological advancements, student demographics, and funding constraints, effective strategic management is essential. This involves enhancing institutional capabilities through improved governance, resource allocation, and stakeholder engagement while fostering a culture of innovation and collaboration. By prioritizing strategic planning and capacity building, academic institutions can remain relevant and responsive to the needs of students, faculty, and the broader community. Further research empowers universities to achieve sustainable growth and fulfill their educational and social objectives. Building Organizational Capacity and Strategic Management in Academia explores the crucial role of leadership and strategic management in boosting the capacity and effectiveness of higher education institutions. It examines the complex dynamics of organizational change, innovation, and sustainable growth within the setting of academia. This book covers topics such as brand management, information technology, and strategic planning, and is a useful resource for business owners, academicians, educators, managers, computer engineers, scientists, and researchers. |
| financial aid for google data analytics: The Best 387 Colleges, 2022 The Princeton Review, Robert Franek, 2021-08-31 Make sure you’re preparing with the most up-to-date materials! Look for The Princeton Review’s newest edition of this book, The Best 388 Colleges, 2023 Edition (ISBN: 9780593450963, on-sale August 2022). Publisher's Note: Products purchased from third-party sellers are not guaranteed by the publisher for quality or authenticity, and may not include access to online tests or materials included with the original product. |
| financial aid for google data analytics: Handbook of Data Analysis Melissa A Hardy, Alan Bryman, 2009-06-17 A fundamental book for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis. Scholars and students can turn to it for teaching and applied needs with confidence. |
| financial aid for google data analytics: Data Analytics and Adaptive Learning Patsy D. Moskal, Charles D. Dziuban, Anthony G. Picciano, 2023-08-25 Data Analytics and Adaptive Learning offers new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings. In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments. This set of rich, illuminating, international studies spans quantitative, qualitative, and mixed-methods research in higher education, K–12, and adult/continuing education contexts. By exploring the issues of definition and pedagogical practice that permeate teaching and learning and concluding with recommendations for the future research and practice necessary to support educators at all levels, this book will prepare researchers, developers, and graduate students of instructional technology to produce evidence for the benefits and challenges of data-driven learning. |
| financial aid for google data analytics: The Best 389 Colleges, 2024 The Princeton Review, Robert Franek, David Soto, Stephen Koch, Aaron Riccio, Laura Rose, 2023-08-15 NO ONE KNOWS COLLEGES LIKE THE PRINCETON REVIEW! This comprehensive guide to the nation's best colleges provides in-depth profiles on schools, best-of lists by interest, and tons of helpful student-driven details that will help you or your student choose their best-fit colleges! The Princeton Review's college rankings started in 1992 with surveys from 30,000 students. Over 30 years and more than a million student surveys later, we stand by our claim that there is no single “best” college, only the best college for you… and that this is the book that will help you find it! STRAIGHT FROM STUDENTS TO YOU · 389 in-depth school profiles based on candid feedback from 165,000 students, covering academics, administration, campus life, and financial aid · Insights on unique college character, social scene, and more · Direct quotes from students about their school’s professors, campus culture, career services, and more RANKING LISTS & RATINGS SCORES · Lists of the top 25 colleges in 50 categories based on students' opinions of academics, campus life, facilities, and much more · Ratings for every school on Financial Aid, Selectivity, and Quality of Life DETAILED ADMISSIONS INFORMATION · The Inside Word on competitive applications, test scores, tuition, and average indebtedness · Comprehensive information on selectivity, freshman profiles, and application deadlines at each school Plus! Free access to 2 full-length practice tests online (1 SAT and 1 ACT) to help you prep for the important admissions-exams part of your admissions journey. |
| financial aid for google data analytics: Data Analytics in Marketing, Entrepreneurship, and Innovation Mounir Kehal, Shahira El Alfy, 2021-01-12 Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns. |
| financial aid for google data analytics: Leading in Analytics Joseph A. Cazier, 2023-11-07 A step-by-step guide for business leaders who need to manage successful big data projects Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You’ll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can’t control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book. Ensure the success of analytics initiatives, maximize ROI, and draw value from big data Learn to define success and failure in analytics and big data projects Set your organization up for analytics success by identifying problems that have big data solutions Bring together the people, the tools, and the strategies that are right for the job By learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results. |
| financial aid for google data analytics: Reshaping Society through Analytics, Collaboration, and Decision Support Lakshmi S. Iyer, Daniel J. Power, 2014-12-04 This volume explores emerging research and pedagogy in analytics, collaboration, and decision support with an emphasis on business intelligence and social media. In general, the chapters help understand where technology involvement in human decisions is headed. Reading the chapters can help understand the opportunities and threats associated with the use of information technology in decision making. Computing and information technologies are reshaping our global society, but they can potentially reshape it in negative as well as positive ways. Analytics, collaboration and computerized decision support are powerful decision aiding and decision making tools that have enormous potential to impact crisis decision making, regulation of financial systems, healthcare decision making and many more important decision domains. Many information technologies can potentially support, assist and even decide for human decision makers. Despite the potential, some researchers think that we know the answers to how these technologies will change society. The Wisdom of Crowds or Big Data become the topic of the day and are soon replaced with new marketing terms. In many ways, mobile technology is just another form factor to adapt decision support capabilities too and experiment with new capabilities. The cloud is a nebulous metaphor that adds to the mystery of information technology. Wireless technology enables the ubiquitous presence of analytics and decision support. With new networking capabilities, collaboration is possible anywhere and everywhere using voice, video and text. Documents can be widely shared and massive numbers of documents can be carried on a small tablet computer. Recent developments in technologies impact the processes organizations use to make decisions. In addition, academics are looking for ways to enhance their pedagogy to train students to be more adept in understanding how emerging technology will be used effectively for decision making in organizations. The chapters are based on papers originally reviewed at the Special Interest Group on Decision Support Systems (SIGDSS) Workshop at the 2013 International Conference on Information Systems (ICIS 2013). Ultimately this volume endeavors to find a balance between systematizing what we know, so we can teach our findings from prior research better, and stimulating excitement to move the field in new directions. |
| financial aid for google data analytics: The Best 388 Colleges, 2023 The Princeton Review, Robert Franek, 2022-08-23 NO ONE KNOWS COLLEGES LIKE THE PRINCETON REVIEW! This comprehensive guide to the nation's best colleges provides in-depth profiles on schools, best-of lists by interest, and tons of helpful student-driven details that will help you or your student choose their best-fit colleges! The Princeton Review's college rankings started in 1992 with surveys from 30,000 students. Over 30 years and more than a million student surveys later, we stand by our claim that there is no single “best” college, only the best college for you … and that this is the book that will help you find it! STRAIGHT FROM STUDENTS TO YOU · 388 in-depth school profiles based on candid feedback from 143,000 students, covering academics, administration, campus life, and financial aid · Insights on unique college character, social scene, and more · Direct quotes from students about their school’s professors, campus culture, career services, and more RANKING LISTS & RATINGS SCORES · Lists of the top 25 colleges in 50 categories based on students' opinions of academics, campus life, facilities, and much more · Ratings for every school on Financial Aid, Selectivity, and Quality of Life DETAILED ADMISSIONS INFORMATION · The Inside Word on competitive applications, test scores, tuition, and average indebtedness · Comprehensive information on selectivity, freshman profiles, and application deadlines at each school Plus! Free access to 2 full-length practice tests online (1 SAT and 1 ACT) to help you prep for the important admissions-exams part of your admissions journey. |
| financial aid for google data analytics: The Best 390 Colleges, 2025 The Princeton Review, Robert Franek, 2024-08-27 NO ONE KNOWS COLLEGES LIKE THE PRINCETON REVIEW! This comprehensive guide to the nation's best colleges provides in-depth profiles on schools, best-of lists by interest, and tons of helpful student-driven details that will help you or your student choose their best-fit colleges! The Princeton Review's college rankings started in 1992 with surveys from 30,000 students. Over 30 years and more than a million student surveys later, we stand by our claim that there is no single “best” college, only the best college for you… and that this is the book that will help you find it! STRAIGHT FROM STUDENTS TO YOU · 390 in-depth school profiles based on candid feedback from 160,000+ students, covering academics, administration, campus life, and financial aid · Insights on unique college character, social scene, and more · Direct quotes from students about their school’s professors, campus culture, career services, and more RANKING LISTS & RATING SCORES · Lists of the top 25 colleges in 50 categories based on students' opinions of academics, campus life, facilities, and much more · Ratings for every school on Financial Aid, Selectivity, and Quality of Life DETAILED ADMISSIONS INFORMATION · The Inside Word on competitive applications, test scores, tuition, and average indebtedness · Comprehensive information on selectivity, freshman profiles, and application deadlines at each school Plus! Free access to 2 full-length practice tests online (1 SAT and 1 ACT) to help you prep for the important admissions-exams part of your admissions journey. |
| financial aid for google data analytics: The Analytics Revolution in Higher Education Jonathan S. Gagliardi, Amelia Parnell, Julia Carpenter-Hubin, 2023-07-03 Co-published with and In this era of “Big Data,” institutions of higher education are challenged to make the most of the information they have to improve student learning outcomes, close equity gaps, keep costs down, and address the economic needs of the communities they serve at the local, regional, and national levels. This book helps readers understand and respond to this “analytics revolution,” examining the evolving dynamics of the institutional research (IR) function, and the many audiences that institutional researchers need to serve.Internally, there is a growing need among senior leaders, administrators, faculty, advisors, and staff for decision analytics that help craft better resource strategies and bring greater efficiencies and return-on-investment for students and families. Externally, state legislators, the federal government, and philanthropies demand more forecasting and more evidence than ever before. These demands require new and creative responses, as they are added to previous demands, rather than replacing them, nor do they come with additional resources to produce the analysis to make data into actionable improvements. Thus the IR function must become that of teacher, ensuring that data and analyses are accurate, timely, accessible, and compelling, whether produced by an IR office or some other source. Despite formidable challenges, IR functions have begun to leverage big data and unlock the power of predictive tools and techniques, contributing to improved student outcomes. |
| financial aid for google data analytics: Fiscal Year 2016 Analytical Perspectives: Budget of the U.S. Government , 2015-02-02 Contains analyses that are designed to highlight specified subject areas or provide other significant presentations of budget data that place the budget in perspective. This volume includes economic and accounting analyses; information on Federal receipts and collections; analyses of Federal spending; detailed information on Federal borrowing and debt; baseline or current services estimates; and other technical presentations. |
| financial aid for google data analytics: Applying Business Intelligence Initiatives in Healthcare and Organizational Settings Miah, Shah J., Yeoh, William, 2018-07-13 Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Applying Business Intelligence Initiatives in Healthcare and Organizational Settings incorporates emerging concepts, methods, models, and relevant applications of business intelligence systems within problem contexts of healthcare and other organizational boundaries. Featuring coverage on a broad range of topics such as rise of embedded analytics, competitive advantage, and strategic capability, this book is ideally designed for business analysts, investors, corporate managers, and entrepreneurs seeking to advance their understanding and practice of business intelligence. |
| financial aid for google data analytics: Building Capacity in Institutional Research and Decision Support in Higher Education Karen L. Webber, 2018-01-31 This book examines the relevant roles, skills and knowledge needed to build the institutional research capacity across the higher education sector globally. The information contained herein will inform IR practitioners, senior level institution officials, and higher education scholars. With a focus on building the capacity of the IR profession, this book’s primary audiences include senior leaders who wish to introduce or strengthen their understanding for effective decision support and staff members who are currently in decision support units and those who wish to serve in this capacity. However, this book also offers detail on the decision support function to higher education scholars who seek to better address how data can inform policy and planning in higher education. Through a broad discussion about the roles and skills of the practitioners, this book will also enumerate the ways in which decision support practitioners can be valued contributors in shaping the future decisions and direction of specific institutions and higher education broadly. |
| financial aid for google data analytics: Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications Gilberto Rivera, Laura Cruz-Reyes, Bernabé Dorronsoro, Alejandro Rosete, 2023-10-20 In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages. |
| financial aid for google data analytics: Budget of the United States Government United States. Office of Management and Budget, 2015 |
| financial aid for google data analytics: Big Data: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2016-04-20 The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics. |
| financial aid for google data analytics: Data Analytics for Business Fenio Annansingh, Joseph Bon Sesay, 2022-04-20 Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results. The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management, and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport, and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor’s manual are also provided as online supplements. This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence, and related areas. |
| financial aid for google data analytics: The Analytics Process Eduardo Rodriguez, 2017-02-17 This book is about the process of using analytics and the capabilities of analytics in today’s organizations. Cutting through the buzz surrounding the term analytics and the overloaded expectations about using analytics, the book demystifies analytics with an in-depth examination of concepts grounded in operations research and management science. Analytics as a set of tools and processes is only as effective as: The data with which it is working The human judgment applying the processes and understanding the output of these processes. For this reason, the book focuses on the analytics process. What is intrinsic to analytics’ real organizational impact are the careful application of tools and the thoughtful application of their outcomes. This work emphasizes analytics as part of a process that supports decision-making within organizations. It wants to debunk overblown expectations that somehow analytics outputs or analytics as applied to other concepts, such as Big Data, are the be-all and end-all of the analytics process. They are, instead, only a step within a holistic and critical approach to management thinking that can create real value for an organization. To develop this holistic approach, the book is divided into two sections that examine concepts and applications. The first section makes the case for executive management taking a holistic approach to analytics. It draws on rich research in operations and management science that form the context in which analytics tools are to be applied. There is a strong emphasis on knowledge management concepts and techniques, as well as risk management concepts and techniques. The second section focuses on both the use of the analytics process and organizational issues that are required to make the analytics process relevant and impactful. |
| financial aid for google data analytics: Departments of Labor, Health and Human Services, Education, and Related Agencies Appropriations for 2018: Related agencies FY 2018 budget justifications United States. Congress. House. Committee on Appropriations. Subcommittee on the Departments of Labor, Health and Human Services, Education, and Related Agencies, 2017 |
| financial aid for google data analytics: Institutional Research and Planning in Higher Education Karen L. Webber, Angel J. Calderon, 2015-03-12 Globalization, demographic shifts, increase in student enrollments, rapid technological transformation, and market-driven environments are altering the way higher education operates today. Institutional Research and Planning in Higher Education explores the impact of these changes on decision support and the nature of institutional research in higher education. Bringing together a diverse set of global contributors, this volume covers contemporary thinking on the practices of academic planning and its impact on key issues such as access, institutional accountability, quality assurance, educational policy priorities, and the development of higher education data systems. |
| financial aid for google data analytics: Supporting College Students of Immigrant Origin Blake R. Silver, Graziella Pagliarulo McCarron, 2024-05-31 Explores the higher educational journeys of students of immigrant origin, providing policy, practice, and research implications. |
| financial aid for google data analytics: Graduate Programs in Business, Education, Information Studies, Law & Social Work 2015 (Grad 6) Peterson's, 2014-12-30 Graduate Programs in Business, Education, Information Studies, Law & Social Work 2015 contains helpful facts and figures on more than 11,000 graduate programs. The comprehensive directory includes more than 1,850 institutions and their programs in all of the relevant disciplines such as accounting and finance, business management, education, law, library and information sciences, marketing, social work, and many more. Informative data profiles feature facts and figures on accreditation, degree requirements, application deadlines, contact information, financial support, faculty, and student body profiles. Two-page in-depth descriptions, written by featured institutions, offer complete details on specific graduate program, school, or department as well as information on faculty research. Comprehensive directories list programs in this volume, as well as others in the graduate series. |
| financial aid for google data analytics: Technology Management Tod Treat, 2011-07-07 Gain a greater understanding of technology management and what it means to the community college campus today. Effective planning, directing, control, and coordination of technological capabilities can shape and help accomplish your institution's strategic and operational objectives. Editor Tod Treat, assistant professor in the Department of Education Policy, Organization, and Leadership at the University of Illinois at Urbana-Champaign, and contributing authors explore community college technology management from a variety of vantage points. They argue that technology management should be a strategy on par with physical, human and fiscal management. They demonstrate how technology can be used to reach students; how it plays a critical role in institutional research; how it impacts faculty and staff and how it continues to shape broad trends in teaching and learning. This is the 154th volume of the Jossey-Bass quarterly report series New Directions for Community Colleges. Essential to the professional libraries of presidents, vice presidents, deans, and other leaders in today's open-door institutions, New Directions for Community Colleges provides expert guidance in meeting the challenges of their distinctive and expanding educational mission. |
| financial aid for google data analytics: Guide to Mobile Data Analytics in Refugee Scenarios Albert Ali Salah, Alex Pentland, Bruno Lepri, Emmanuel Letouzé, 2019-09-06 After the start of the Syrian Civil War in 2011–12, increasing numbers of civilians sought refuge in neighboring countries. By May 2017, Turkey had received over 3 million refugees — the largest refugee population in the world. Some lived in government-run camps near the Syrian border, but many have moved to cities looking for work and better living conditions. They faced problems of integration, income, welfare, employment, health, education, language, social tension, and discrimination. In order to develop sound policies to solve these interlinked problems, a good understanding of refugee dynamics isnecessary. This book summarizes the most important findings of the Data for Refugees (D4R) Challenge, which was a non-profit project initiated to improve the conditions of the Syrian refugees in Turkey by providing a database for the scientific community to enable research on urgent problems concerning refugees. The database, based on anonymized mobile call detail records (CDRs) of phone calls and SMS messages of one million Turk Telekom customers, indicates the broad activity and mobility patterns of refugees and citizens in Turkey for the year 1 January to 31 December 2017. Over 100 teams from around the globe applied to take part in the challenge, and 61 teams were granted access to the data. This book describes the challenge, and presents selected and revised project reports on the five major themes: unemployment, health, education, social integration, and safety, respectively. These are complemented by additional invited chapters describing related projects from international governmental organizations, technological infrastructure, as well as ethical aspects. The last chapter includes policy recommendations, based on the lessons learned. The book will serve as a guideline for creating innovative data-centered collaborations between industry, academia, government, and non-profit humanitarian agencies to deal with complex problems in refugee scenarios. It illustrates the possibilities of big data analytics in coping with refugee crises and humanitarian responses, by showcasing innovative approaches drawing on multiple data sources, information visualization, pattern analysis, and statistical analysis.It will also provide researchers and students working with mobility data with an excellent coverage across data science, economics, sociology, urban computing, education, migration studies, and more. |
| financial aid for google data analytics: Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis Osman, Ibrahim H., 2013-08-31 Organizations can use the valuable tool of data envelopment analysis (DEA) to make informed decisions on developing successful strategies, setting specific goals, and identifying underperforming activities to improve the output or outcome of performance measurement. The Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis highlights the advantages of using DEA as a tool to improve business performance and identify sources of inefficiency in public and private organizations. These recently developed theories and applications of DEA will be useful for policymakers, managers, and practitioners in the areas of sustainable development of our society including environment, agriculture, finance, and higher education sectors. |
| financial aid for google data analytics: Encyclopedia of Organizational Knowledge, Administration, and Technology Khosrow-Pour D.B.A., Mehdi, 2020-09-29 For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication. |
| financial aid for google data analytics: Computational Red Teaming Hussein A. Abbass, 2014-10-30 Written to bridge the information needs of management and computational scientists, this book presents the first comprehensive treatment of Computational Red Teaming (CRT). The author describes an analytics environment that blends human reasoning and computational modeling to design risk-aware and evidence-based smart decision making systems. He presents the Shadow CRT Machine, which shadows the operations of an actual system to think with decision makers, challenge threats, and design remedies. This is the first book to generalize red teaming (RT) outside the military and security domains and it offers coverage of RT principles, practical and ethical guidelines. The author utilizes Gilbert’s principles for introducing a science. Simplicity: where the book follows a special style to make it accessible to a wide range of readers. Coherence: where only necessary elements from experimentation, optimization, simulation, data mining, big data, cognitive information processing, and system thinking are blended together systematically to present CRT as the science of Risk Analytics and Challenge Analytics. Utility: where the author draws on a wide range of examples, ranging from job interviews to Cyber operations, before presenting three case studies from air traffic control technologies, human behavior, and complex socio-technical systems involving real-time mining and integration of human brain data in the decision making environment. |
| financial aid for google data analytics: Harnessing Technology for Knowledge Transfer in Accountancy, Auditing, and Finance Kwok, Samuel, Omran, Mohamed, Yu, Poshan, 2024-02-26 The fusion of technology and knowledge transfer has become a pivotal force in the ever-evolving landscape of accountancy, auditing, and finance. Harnessing Technology for Knowledge Transfer in Accountancy, Auditing, and Finance delves deep into technology's revolutionary potential, dissecting advancements like artificial intelligence, blockchain, data analytics, machine learning, and cloud computing. Through examination and analysis, this book unveils the immense applicability of these technologies in facilitating the transfer of knowledge within the intricate web of financial industries. One of the book's unique strengths is its comprehensive approach to technology adoption. Readers will unearth innovative methodologies, best practices, and novel strategies for optimizing knowledge transfer processes through technological integration to enhance organizational performance and efficiency, equipping professionals with the tools and insights to thrive in the modern financial landscape. This book is ideal for professionals, academics, and researchers. It arms them with indispensable tools, insights, and strategies to harness the full potential of technology in knowledge transfer. |
| financial aid for google data analytics: Principles and Applications of Business Intelligence Research Herschel, Richard T., 2012-12-31 This book provides the latest ideas and research on advancing the understanding and implementation of business intelligence within organizations--Provided by publisher. |
| financial aid for google data analytics: Next Generation Evidence Kelly Fitzsimmons, Tamar Bauer, 2023-12-15 Next Generation Evidence serves as a prequel to Show Me the Evidence: Obama's Fight for Rigor and Results in Social Policy by Ron Haskins and Greg Margolis. While Show Me the Evidence highlighted the importance of prioritizing funding for programs with evidence, Next Generation Evidence looks at how we can build the pipeline of evidence-producing programs. Evidence is remarkably powerful; it helps us understand the needs of communities, make decisions in times of change and scarcity, and build and do more of what works. However, practitioners face a number of structural and practical hurdles to building and using evidence. Traditional evaluation and research methods are often not timely, affordable, meaningful, or inclusive for helping practitioners make decisions to increase their impact for people and communities. Too often and for too long, evaluation was a thing done to practitioners and the communities they serve, relegating them to a passive role when they should be regarded as leaders of this work. Worse, their data and evidence has been used against them in disempowering thumbs-up, thumbs-down circumstances, rather than for learning and improvement that leads to impact. Next Generation Evidence features innovative thinking from leaders across policy, philanthropy, research, and practice. Together, these leaders lay out a vision for a stronger, more equitable data and evidence ecosystem that centers on the voices of people and communities most directly impacted by the problems we seek to solve. Throughout the book, case studies featuring practitioners at various stages in their evidence-building journey highlight concrete illustrations of how continuous evidence building can benefit organizations and outcomes for communities. |
| financial aid for google data analytics: Changing Competitive Business Dynamics Through Sustainable Big Data Analysis Sukanta Kumar Baral, Richa Goel, Tilottama Singh, Erdener Kaynak, Vishal Jain, 2024-07-30 This research book compiles concise reviews on business trends that drive innovation and competitive advantages. The book includes 15 referenced chapters covering topics in advertising, agriculture, digital marketing, human resource management, healthcare and sustainability. Chapters focus on the use of disruptive technologies such as virtual reality, artificial intelligence and Internet of Things that harness the power of big data and visualizations to provide a framework for insightful analytics. Readers will be able to understand the practical applications and implications of these technologies so that they can apply them to their businesses. Special topics of interest are highlighted, including industry 4.0, women empowerment for industry 5.0, sustainability models for achieving UN SDG 9, over the top media platforms, and more. |
| financial aid for google data analytics: The Complete Book of Colleges, 2017 Edition Princeton Review (Firm), 2016-07 The MEGA-GUIDE to 1,355 COLLEGES AND UNIVERSITIES! No one knows colleges better than The Princeton Review! Inside The Complete Book of Colleges, 2017 Edition, you'll find meticulously researched information that will help you narrow the search for the best college for you! Each of the 1,355 user-friendly profiles answers your questions, including: * How much are tuition and other student fees and costs? * What types of financial aid are available, and when are the applications due? * What do admissions officers most look for in test scores and recommendations? * Which majors are the most popular and have the highest enrollment? * What is the housing like, and how accessible is technology on campus? * What are the key campus organizations, athletics, and student activities? * How selective is the school? * Plus! Indexes based on cost, selectivity, and size that will help you narrow your search. Get a leg up on your college search with this easy-to-use, comprehensive, and savvy guidebook from the experts at The Princeton Review. |
| financial aid for google data analytics: Logic-Driven Traffic Big Data Analytics Shaopeng Zhong, Daniel (Jian) Sun, 2022-02-01 This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning. |
| financial aid for google data analytics: The Wall and the Bridge Glenn Hubbard, 2022 An informed argument for an economic policy based on bridges of preparation and adaptation rather than walls of protection and exclusion When technological change and globalization in recent decades brought frustration over the resulting losses to jobs and communities, there were no guardrails to get these workers back on track. As this compelling book shows, our nation is going to need bridges to help people get through the unavoidable transformations.--Edmund Phelps, 2006 Nobel Laureate in Economics and author of Mass Flourishing Free-market economists often have noted that there are winners and losers in a competitive capitalist world. The question of how to deal with the difficult real-life consequences faced by the losers, however, has largely been ignored. Populist politicians have tried repeatedly to address the issue by creating walls--of both the physical and economic kinds--to insulate communities and keep competition at bay. While recognizing the broad emotional appeal of walls, economist Glenn Hubbard argues that because they delay needed adaptations to the ever-changing world, walls are essentially backward-looking and ultimately destined to fail. Taking Adam Smith's logic to Youngstown, Ohio, as a case study in economic disruption, Hubbard promotes the benefits of an open economy and creating bridges to support people in turbulent times so that they remain engaged and prepared to participate in, and reap the rewards of, a new economic landscape. |
| financial aid for google data analytics: Graduate Programs in Business, Education, Information Studies, Law & Social Work 2014 (Grad 6) Peterson's, 2013-12-20 Peterson's Graduate Programs in Business, Education, Information Studies, Law & Social Work 2014 contains comprehensive profiles of more than 11,000 graduate programs in disciplines such as, accounting & finance, business administration & management, education, human resources, international business, law, library & information studies, marketing, social work, transportation management, and more. Up-to-date info, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable data on degree offerings, professional accreditation, jointly offered degrees, part-time & evening/weekend programs, postbaccalaureate distance degrees, faculty, students, requirements, expenses, financial support, faculty research, and unit head and application contact information. There are helpful links to in-depth descriptions about a specific graduate program or department, faculty members and their research, and more. Also find valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
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Global Business and Financial News, Stock Quotes, and Market Data and Analysis. CNBC is the world leader in …
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