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| data science certificate georgetown: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-10-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| data science certificate georgetown: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| data science certificate georgetown: The Data Science Framework Juan J. Cuadrado-Gallego, Yuri Demchenko, 2020-10-01 This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines. |
| data science certificate georgetown: Data Science Careers, Training, and Hiring Renata Rawlings-Goss, 2019-08-02 This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build. |
| data science certificate georgetown: Data Science & Business Analytics Sneha Kumari, K. K. Tripathy, Vidya Kumbhar, 2020-12-04 Data Science & Business Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. |
| data science certificate georgetown: They Better Call Me Sugar: My Journey from the Hood to the Hardwood Sugar Rodgers, 2021-05-04 In unflinchingly honest prose, Sugar Rodgers shares her inspiring story of overcoming tremendous odds to become an all-star in the WNBA. “An inherently compelling memoir . . . A simply fascinating and ultimately inspiring story.” —Midwest Book Review “Rodgers pulls no punches in this raw, emotional rags-to-riches memoir.” —Publishers Weekly Growing up in dire poverty in Suffolk, Virginia, Sugar (born Ta’Shauna) Rodgers never imagined that she would become an all-star player in the WNBA (Women’s National Basketball Association). Both of her siblings were in and out of prison throughout much of her childhood and shootings in her neighborhood were commonplace. For Sugar this was just a fact of life. While academics wasn’t a high priority for Sugar and many of her friends, athletics always played a prominent role. She mastered her three-point shot on a net her brother put up just outside their home, eventually becoming so good that she could hustle local drug dealers out of money in one-on-one contests. With the love and support of her family and friends, Sugar’s performance on her high school basketball team led to her recruitment by the Georgetown Hoyas, and her eventual draft into the WNBA in 2013 by the Minnesota Lynx (who won the WNBA Finals in Sugar’s first year). The first of her family to attend college, Sugar speaks of her struggles both academically and as an athlete with raw honesty. Sugar’s road to a successful career as a professional basketball player is fraught with sadness and death—including her mother’s death when she’s fourteen, which leaves Sugar essentially homeless. Throughout it all, Sugar clings to basketball as a way to keep herself focused and sane. And now Sugar shares her story as a message of hope and inspiration for young girls and boys everywhere, but especially those growing up in economically challenging conditions. Never sugarcoating her life experiences, she delivers a powerful message of discipline, perseverance, and always believing in oneself. |
| data science certificate georgetown: The Alexandra of Lycophron Charles McNelis, Alexander Sens, 2016-04-21 This monograph is a literary study of Lycophron's Alexandra, whose obscurity, a quality notorious already in antiquity, has long hampered holistic approaches. Through a series of distinct but closely integrated literary studies of major aspects of the poem, including its style, its engagement with the traditions of epic and tragedy, and it's treatment of heroism and of the gods, the book explores the way the Alexandra reconfigures Greek mythology. In particular, as it is presented in Homeric epic and Athenian tragedy, in order to cast the Romans and their restoration of Trojan glory as the ultimate telos of history. In this sense, the poem emerges as an important intermediary between Homeric epic and Latin poetry, particularly Vergil's Aeneid. By rewriting specific features of the epic and tragic traditions, the Alexandra denies to Greek heroes the glory that was the traditional compensation for their suffering, while at the same time attributing to Cassandra's Trojan family honours framed in the traditional language of Greek heroism. In this sense, the figure of Cassandra, a prophetess traditionally gifted with the power of foresight but denied credibility, self-reflexively serves as a vehicle for exploring the potentials and limitations of poetry. |
| data science certificate georgetown: Real Estate Finance William B. Brueggeman, Jeffrey D. Fisher, Leo D. Stone, 1989 |
| data science certificate georgetown: Career Opportunities in Biotechnology and Drug Development Toby Freedman, 2008 An essential guide for students in the life sciences, established researchers, and career counselors, this resource features discussions of job security, future trends, and potential career paths. Even those already working in the industry will find helpful information on how to take advantage of opportunities within their own companies and elsewhere. |
| data science certificate georgetown: Data Analytics with Hadoop Benjamin Bengfort, Jenny Kim, 2016-06 Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical processes and data systems available to build and empower data products that can handle—and actually require—huge amounts of data. Understand core concepts behind Hadoop and cluster computing Use design patterns and parallel analytical algorithms to create distributed data analysis jobs Learn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase Use Sqoop and Apache Flume to ingest data from relational databases Program complex Hadoop and Spark applications with Apache Pig and Spark DataFrames Perform machine learning techniques such as classification, clustering, and collaborative filtering with Spark’s MLlib |
| data science certificate georgetown: A Practical Guide for Informationists Antonio P DeRosa, 2018-02-23 A Practical Guide for Informationists: Supporting Research and Clinical Practice guides new informationists to a successful career, giving them a pathway to this savvier, more technically advanced, domain-focused role in modern day information centers and libraries. The book's broad scope serves as an invaluable toolkit for healthcare professionals, researchers and graduate students in information management, library and information science, data management, informatics, etc. Furthermore, it is also ideal as a textbook for courses in medical reference services/medical informatics in MLIS programs. - Offer examples (e.g. case studies) of ways of delivering information services to end users - Includes recommendations, evidence and worksheets/take-aways/templates to be repurposed and adapted by the reader - Aimed at the broad area of healthcare and research libraries |
| data science certificate georgetown: Computing Skills for Biologists Stefano Allesina, Madlen Wilmes, 2019-01-15 A concise introduction to key computing skills for biologists While biological data continues to grow exponentially in size and quality, many of today’s biologists are not trained adequately in the computing skills necessary for leveraging this information deluge. In Computing Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data. Based on the authors’ experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication. Stressing practice rather than theory, the book’s examples and exercises are drawn from actual biological data and solve cogent problems spanning the entire breadth of biological disciplines, including ecology, genetics, microbiology, and molecular biology. Beginners will benefit from the many examples explained step-by-step, while more seasoned researchers will learn how to combine tools to make biological data analysis robust and reproducible. The book uses free software and code that can be run on any platform. Computing Skills for Biologists is ideal for scientists wanting to improve their technical skills and instructors looking to teach the main computing tools essential for biology research in the twenty-first century. Excellent resource for acquiring comprehensive computing skills Both novice and experienced scientists will increase efficiency by building automated and reproducible pipelines for biological data analysis Code examples based on published data spanning the breadth of biological disciplines Detailed solutions provided for exercises in each chapter Extensive companion website |
| data science certificate georgetown: Data Analysis for Social Science Elena Llaudet, Kosuke Imai, 2022-11-29 Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors-- |
| data science certificate georgetown: Practical Data Science Cookbook Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta, 2017-06-29 Over 85 recipes to help you complete real-world data science projects in R and Python About This Book Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data Get beyond the theory and implement real-world projects in data science using R and Python Easy-to-follow recipes will help you understand and implement the numerical computing concepts Who This Book Is For If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of real-world data science projects and the programming examples in R and Python. What You Will Learn Learn and understand the installation procedure and environment required for R and Python on various platforms Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python Build a predictive model and an exploratory model Analyze the results of your model and create reports on the acquired data Build various tree-based methods and Build random forest In Detail As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don't. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use. Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis—R and Python. Style and approach This step-by-step guide to data science is full of hands-on examples of real-world data science tasks. Each recipe focuses on a particular task involved in the data science pipeline, ranging from readying the dataset to analytics and visualization |
| data science certificate georgetown: Applied Text Analysis with Python Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda, 2018-06-11 From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity |
| data science certificate georgetown: Eugenical Sterilization in the United States Harry Hamilton Laughlin, 1922 |
| data science certificate georgetown: The Right to Privacy Samuel D. Brandeis, Louis D. Warren, 2018-04-05 Reproduction of the original: The Right to Privacy by Samuel D. Warren, Louis D. Brandeis |
| data science certificate georgetown: An Introduction to Nursing Informatics, Evolution, and Innovation, 2nd Edition Susan M. Houston, Tina Dieckhaus, Bob Kircher, Michelle Lardner, 2018-11-09 Nursing informatics (NI) is the specialty that integrates nursing science with information management and analytical sciences to identify, define, manage, and communicate data, information, knowledge, and wisdom in nursing practice. Nursing Informatics supports nurses, consumers, patients, the interprofessional healthcare team, and other stakeholders in a wide variety of roles and settings to achieve desired outcomes. This is accomplished through the use of information structures, information processes, and information technology. An Introduction to Nursing Informatics, Evolution and Innovation, 2nd Edition is the ideal gateway to all the professional possibilities this continuously evolving discipline has to offer. Describing the evolution of nursing informatics from its origins to current practice in today’s complex, diverse healthcare environment, this book offers the next generation of nurse informaticists an understanding of the discipline, best practices, and its scope of influence in healthcare. The book also explores Nursing Informatics as it is evolving into the future, including technology creation and implementation and the development of influential policies and best practices. Special features include descriptions of the ‘a day in the life’ from informatics nurses in multiple roles and fields of influence, including academia, research, clinical settings, the executive suite, consulting, and government, as well as an Appendix featuring case profiles. This new edition updates the content to better align with the current state of nursing informatics and expand on additional roles. New to this edition is a chapter providing tips and advice for those trying to find their first nursing informatics job or are changing their careers. Another new chapter covers healthcare analytics and how it fits into the nursing informatics role. An Introduction to Nursing Informatics, Evolution and Innovation, 2nd Edition is the ideal resource for nursing students and as a reference guide and pint of inspiration for nurses currently in the field. |
| data science certificate georgetown: Learning Innovation and the Future of Higher Education Joshua Kim, Edward J. Maloney, 2020-02-11 Giving higher education professionals the language and tools they need to seize new opportunities in digital learning. A quiet revolution is sweeping across US colleges and universities. As schools rethink how students learn - both inside and outside the classroom - technology is changing not only what should be taught but how best to teach it. From active learning and inclusive pedagogy to online and hybrid courses, traditional institutions are leveraging their fundamental strengths while challenging long-standing assumptions about how teaching and learning happen. At this intersection of learning, technology, design, and organizational change lies the foundation of a new academic discipline of digital learning. Coalescing around this new field of study is a common critical language, along with a set of theoretical frameworks, methodological practices, and shared challenges and goals. In Learning Innovation and the Future of Higher Education, Joshua Kim and Edward Maloney explore the context of this new discipline, show how it exists within a larger body of scholarship, and give examples of how this scholarship is being used on campuses. What Kim and Maloney demonstrate in this foundational text is an understanding that change is a complex dynamic between what happens in the classroom and the larger institutional structures and traditions at play. Ultimately, the authors make a compelling case not only for this turn to learning but also for creating new pathways for nonfaculty learning careers, understanding the limits of professional organizations and social media, and the need to establish this new interdisciplinary field of learning innovation. |
| data science certificate georgetown: Academia Next Bryan Alexander, 2020-01-14 An unusually multifaceted approach to American higher education that views institutions as complex organisms, Academia Next offers a fresh perspective on the emerging colleges and universities of today and tomorrow. |
| data science certificate georgetown: Memoir of a Number Doctor Edmund A. Gehan, 2017 |
| data science certificate georgetown: "Ethically Impossible" , 2011 In response to a request by President Barak Obama on November 24, 2010, the Presidential Commission for the Study of Bioethical Issues oversaw a thorough fact-finding investigation into the specifics of the U.S. Public Health Service-led studies in Guatemala involving the intentional exposure and infection of vulnerable populations. Following a nine-month intensive investigation, the Commission has concluded that the Guatemala experiments involved gross violations of ethics as judged against both the standards of today and the researchers' own understanding of applicable contemporaneous practices. It is the Commission's firm belief that many of the actions undertaken in Guatemala were especially egregious moral wrongs because many of the individuals involved held positions of public institutional responsibility. The best thing we can do as a country when faced with a dark chapter is to bring it to light. The Commission has worked hard to provide an unvarnished ethical analysis to both honor the victims and make sure events such as these never happen again. |
| data science certificate georgetown: Data Democracy Feras A. Batarseh, Ruixin Yang, 2020-01-21 Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world's best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy. - The future of the data republic, life within a data democracy, and our digital freedoms - An in-depth analysis of open science, open data, open source software, and their future challenges - A comprehensive review of data democracy's implications within domains such as: healthcare, space exploration, earth sciences, business, and psychology - The democratization of Artificial Intelligence (AI), and data issues such as: Bias, imbalance, context, and knowledge extraction - A systematic review of AI methods applied to software engineering problems |
| data science certificate georgetown: Cyber War Richard A. Clarke, Robert Knake, 2012-04-10 Richard A. Clarke warned America once before about the havoc terrorism would wreak on our national security—and he was right. Now he warns us of another threat, silent but equally dangerous. Cyber War is a powerful book about technology, government, and military strategy; about criminals, spies, soldiers, and hackers. It explains clearly and convincingly what cyber war is, how cyber weapons work, and how vulnerable we are as a nation and as individuals to the vast and looming web of cyber criminals. This is the first book about the war of the future—cyber war—and a convincing argument that we may already be in peril of losing it. |
| data science certificate georgetown: Advanced Physiology and Pathophysiology Nancy Tkacs, PhD, RN, Linda Herrmann, PhD, RN, ACHPN, AGACNP-BC, GNP-BC, FAANP, Randall Johnson, PhD, RN, 2020-03-26 Note to Readers: Publisher does not guarantee quality or access to any included digital components if book is purchased through a third-party seller. Specifically designed for future healthcare providers who will diagnose, manage, and prescribe This advanced physiology and pathophysiology text is designed to address the specific learning needs of future nurse practitioners, physician assistants, and other advanced healthcare providers caring for patients across the lifespan. Focusing on practical applications of physiology, it facilitates in-depth understanding of important pathophysiological concepts as they relate to major disorders commonly seen in clinical practice and includes comprehensive pediatric and geriatric considerations. This knowledge is crucial to providing the foundation required to be an informed and confident clinical decision maker. The author team includes experienced clinicians and educators: nurses and nurse practitioners, physician assistants, doctors of pharmacy, physicians, and basic scientists. This collaboration has produced a text that carefully details and richly illustrates the cellular structure and function of each organ system and mechanisms of associated major clinical disorders. Uniquely interweaving aspects of organ function during healthy states with disease-associated changes, the text emphasizes and extends the basic science foundation to practical clinical applications. The text promotes a deep understanding of cellular function in health and disease that provides the bedrock knowledge required to master pharmacology for prescriptive practice. Equally important, the solid foundation of applied pathophysiological mechanisms offered in this text prepares the student clinician to care for patients with a broad variety of disorders. This resource not only provides a deep dive into pathophysiology, but it also examines why patients often present with particular symptoms, the rationale for ordering specific diagnostic tests and interpretation of results, and common management strategies that proceed from the underlying pathophysiology. Key Features: Designed explicitly to build a foundation for pharmacology and clinical courses that lead to successful clinical practice and prescribing Includes comprehensive lifespan considerations with key insights from specialists in pediatric and geriatric pathophysiology Provides a complete chapter on the basic principles of genetics and genomics with coverage of genetic variations, assessment, and genomics woven throughout the book Integrates thought questions and case studies to promote discussion and synthesis of information Offers a unique Bridge to Clinical Practice in each chapter to translate science to patient care Includes more than 500 images to illustrate complex scientific concepts Summarizes the contents succinctly with handy key points at the end of each chapter Provides access to the fully searchable ebook, including student ancillaries on Springer Publishing ConnectTM |
| data science certificate georgetown: The Policy Process Stuart S. Nagel, 1999 Since the passage of national welfare reform legislation in the areas of welfare, employment, health and social services have been changing rapidly. This book discusses many of the different changes that these policies have gone through in recent years as well as the shift of responsibility toward state and local government for these changes. It is divided into: Part One: Federal, State and Local Relations; Part Two: Executive, Legislative and Judicial Relations; Part Three: The Group Struggle; Part Four: Public Values; Part Five: Democracy With Resistance. |
| data science certificate georgetown: Living Originalism Jack M. Balkin, 2011-11-29 Originalism and living constitutionalism, so often understood to be diametrically opposing views of our nation’s founding document, are not in conflict—they are compatible. So argues Jack Balkin, one of the leading constitutional scholars of our time, in this long-awaited book. Step by step, Balkin gracefully outlines a constitutional theory that demonstrates why modern conceptions of civil rights and civil liberties, and the modern state’s protection of national security, health, safety, and the environment, are fully consistent with the Constitution’s original meaning. And he shows how both liberals and conservatives, working through political parties and social movements, play important roles in the ongoing project of constitutional construction. By making firm rules but also deliberately incorporating flexible standards and abstract principles, the Constitution’s authors constructed a framework for politics on which later generations could build. Americans have taken up this task, producing institutions and doctrines that flesh out the Constitution’s text and principles. Balkin’s analysis offers a way past the angry polemics of our era, a deepened understanding of the Constitution that is at once originalist and living constitutionalist, and a vision that allows all Americans to reclaim the Constitution as their own. |
| data science certificate georgetown: Ultralearning Scott H. Young, 2019-08-06 Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success. |
| data science certificate georgetown: My Secret Brexit Diary Michel Barnier, 2021-09-22 In June 2016, the people of the United Kingdom voted to leave the European Union. As the EU’s chief negotiator, for four years Michel Barnier had a seat at the table as the two sides thrashed out what ‘Brexit’ would really mean. The result would change Britain and Europe forever. During the 1600 days of complex and often acrimonious negotiations, Michel Barnier kept a secret diary. He recorded his private hopes and fears, and gave a blow-by-blow account as the negotiations oscillated between consensus and disagreement, transparency and lies. From Brussels to London, from Dublin to Nicosia, Michel Barnier’s secret diary lifts the lid on what really happened behind the scenes of one of the most high-stakes negotiations in modern history. The result is a unique testimony from the ultimate insider on the hidden world of Brexit and those who made it happen. |
| data science certificate georgetown: How We Vote Kathleen Hale, Mitchell Brown, 2020-06-01 The idea of voting is simple, but the administration of elections in ways that ensure access and integrity is complex. In How We Vote, Kathleen Hale and Mitchell Brown explore what is at the heart of our democracy: how elections are run. Election administration determines how ballots are cast and counted, and how jurisdictions try to innovate while also protecting the security of the voting process, as well as how election officials work. Election officials must work in a difficult intergovernmental environment of constant change and intense partisanship. Voting practices and funding vary from state to state, and multiple government agencies, the judicial system, voting equipment vendors, nonprofit groups, and citizen activists also influence practices and limit change. Despite real challenges and pessimistic media assessments, Hale and Brown demonstrate that election officials are largely successful in their work to facilitate, protect, and evolve the voting process. Using original data gathered from state and local election officials and policymakers across the United States, Hale and Brown analyze innovations in voter registration, voting options, voter convenience, support for voting in languages other than English, the integrity of the voting process, and voting system technology. The result is a fascinating picture of how we vote now and will vote in the future. |
| data science certificate georgetown: Refugees, Migration and Global Governance Elizabeth G. Ferris, Katharine M. Donato, 2019-07-05 As debates about migrants and refugees reverberate around the world, this book offers an important first-hand account of how migration is being approached at the highest levels of international governance. Whereas refugees have long been protected by international law, migrants have been treated differently, with no international consensus definition and no one international migration system. This all changed in September 2016, when the 193 members of the United Nations unanimously adopted the New York Declaration on Refugees and Migrants, laying the groundwork for the creation of governance frameworks for migrants and refugees worldwide. This book provides a fly on the wall analysis of the opportunities and challenges of the two new Global Compacts on Refugees and Migration as governments, international NGOs, multilateral institutions and other actors develop and negotiate them. Looking beyond the compacts, the book considers migration governance over time, and asks the bigger questions of what the international community can do on the one hand to affirm and strengthen safe, orderly and regular migration to help drive economic growth and prosperity, whilst on the other hand responding to the problems caused by increasing numbers of refugees and irregular migrants. This highly engaging and informative account will be of interest to policy-makers, academics and students concerned with global migration and refugee governance. |
| data science certificate georgetown: Gender and International Migration Katharine M. Donato, Donna Gabaccia, 2015-03-30 In 2006, the United Nations reported on the “feminization” of migration, noting that the number of female migrants had doubled over the last five decades. Likewise, global awareness of issues like human trafficking and the exploitation of immigrant domestic workers has increased attention to the gender makeup of migrants. But are women really more likely to migrate today than they were in earlier times? In Gender and International Migration, sociologist and demographer Katharine Donato and historian Donna Gabaccia evaluate the historical evidence to show that women have been a significant part of migration flows for centuries. The first scholarly analysis of gender and migration over the centuries, Gender and International Migration demonstrates that variation in the gender composition of migration reflect not only the movements of women relative to men, but larger shifts in immigration policies and gender relations in the changing global economy. While most research has focused on women migrants after 1960, Donato and Gabaccia begin their analysis with the fifteenth century, when European colonization and the transatlantic slave trade led to large-scale forced migration, including the transport of prisoners and indentured servants to the Americas and Australia from Africa and Europe. Contrary to the popular conception that most of these migrants were male, the authors show that a significant portion were women. The gender composition of migrants was driven by regional labor markets and local beliefs of the sending countries. For example, while coastal ports of western Africa traded mostly male slaves to Europeans, most slaves exiting east Africa for the Middle East were women due to this region’s demand for female reproductive labor. Donato and Gabaccia show how the changing immigration policies of receiving countries affect the gender composition of global migration. Nineteenth-century immigration restrictions based on race, such as the Chinese Exclusion Act in the United States, limited male labor migration. But as these policies were replaced by regulated migration based on categories such as employment and marriage, the balance of men and women became more equal – both in large immigrant-receiving nations such as the United States, Canada, and Israel, and in nations with small immigrant populations such as South Africa, the Philippines, and Argentina. The gender composition of today’s migrants reflects a much stronger demand for female labor than in the past. The authors conclude that gender imbalance in migration is most likely to occur when coercive systems of labor recruitment exist, whether in the slave trade of the early modern era or in recent guest-worker programs. Using methods and insights from history, gender studies, demography, and other social sciences, Gender and International Migration shows that feminization is better characterized as a gradual and ongoing shift toward gender balance in migrant populations worldwide. This groundbreaking demographic and historical analysis provides an important foundation for future migration research. |
| data science certificate georgetown: Mentoring In Health Professions Education Alice Fornari, Darshana T. Shah, 2022-01-12 This IAMSE Manual, Mentoring Across the Continuum, is a product of its co-editors' and authors’ lifetime work in mentoring faculty and studying the impact of this mentoring. The book defines the field of academic medicine as highly dependent on finding and relating to mentors at virtually every stage of a doctor's career. It describes and analyzes successful mentor/mentee relationships, examining the authors' personal experiences, as well as a data-driven approach, to explore the many different roles and perspectives on mentoring relationships and ultimately the mentoring culture. The editors look at the data with respect to the success of different strategies in mentoring, as well as different structures of diverse mentoring programs. As well, proven ways to deliver these programs successfully for all professionals who lead mentoring programs or are active participants as mentees. There is a special emphasis on the mentoring of medical educators. However, the themes explored in this book are generalizable beyond the medical educator to include diverse academic roles across the continuum. In particular, enumerating the many specific roles of a mentor beyond just the traditional concepts adds breadth and depth to understanding what can be gained from mentor-mentee relationships. This Manual is a valuable resource for clinicians, educators, and trainees in addition to anyone involved in medical education and progressing through the stages of practicing, teaching, and learning in medicine. This Manual represents a meaningful addition to the literature on this most important professional subject. |
| data science certificate georgetown: Peterson's Graduate & Professional Programs: An Overview--Profiles of Institutions Offering Graduate & Professional Work Peterson's, 2011-06-01 Graduate & Professional Programs: An Overview--Profiles of Institutions Offering Graduate & Professional Work contains more than 2,300 university/college profiles that offer valuable information on graduate and professional degree programs and certificates, enrollment figures, tuition, financial support, housing, faculty, research affiliations, library facilities, and contact information. |
| data science certificate georgetown: Design of Cities Edmund N. Bacon, 1975 |
| data science certificate georgetown: Technological Innovation Marie C. Thursby, 2016-08-23 This is the 2nd edition of Technological Innovation. Profiting from technological innovation requires scientific and engineering expertise, and an understanding of how business and legal factors facilitate commercialization. This volume presents a multidisciplinary view of issues in technology commercialization and entrepreneurship. |
| data science certificate georgetown: Politics in Southern Africa Gretchen Bauer, Scott D. Taylor, 2011 Previous ed. (2005) has subtitle: State and society in transition. |
| data science certificate georgetown: Peterson's Graduate Programs in Neuroscience & Neurobiology; Nutrition; and Parasitology Peterson's, 2011-05-01 Peterson's Graduate Programs in Neuroscience & Neurobiology; Nutrition; and Parasitology contains a wealth of information on universities that offer graduate/professional degrees in these cutting-edge fields. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are 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. |
| data science certificate georgetown: Eugenical Sterilization: 1926 Harry Hamilton Laughlin, 1926 |
| data science certificate georgetown: Information Retrieval David A. Grossman, Ophir Frieder, 2012-11-12 Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information retrieval design and implementation questions. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described. This edition is a major expansion of the one published in 1998. Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection. |
Online Certificate in Data Science | Georgetown SCS
Students of the Online Certificate in Data Science at Georgetown will learn the technical and analytical skills required to collect, clean, model, and present data.
XBUS-750 Data Science | Georgetown School of Continuing …
Led by academics and professionals within the data science community, our program incorporates hands-on coursework as well as group work focused on real-world data science …
Tuition & Funding | Certificate in Data Science | Georgetown SCS
Tuition for the Certificate in Data Science at Georgetown School of Continuing Studies varies by course and has several finance and funding options available.
Professional Certificate Programs | Georgetown SCS
Professional Certificate Programs In as little as two weeks, earn a credential to help you reach the next step—whether it's advancing to senior management, starting a business, or pursuing a …
Online Certificate in Data Analytics | Georgetown SCS
Georgetown’s Online Certificate in Data Analytics prepares you with the cutting-edge analytical and technical skills that empower you to use data to communicate results and support decision …
Certificate in Data Analytics | Georgetown ... - Georgetown University
Beginning with the study of SQL and Python, students will learn how to to store, access, and manipulate data in relational databases. Statistical tools will be discussed to understand …
Certificate in Data Science Application: Fall 2025 | Georgetown …
The Certificate in Data Science is a cohort-based, competitive program with a selective admission process. An application is required to enroll in the program. If accepted, students are required …
XBUS-490 - Python Basics for Data Analysis - Georgetown University
Benjamin is the program director of the Georgetown Data Science Certificate programs where he also teaches Machine Learning and courses in Advanced Data Science as well as graduate …
Certificate in Advanced Data Visualization | Georgetown SCS
The Data Science and Analytics (DSAN) program within the Graduate School of Arts & Sciences and the School of Continuing Studies at Georgetown University are partnering to offer a …
Contact Us | Certificate in Data Science | Georgetown SCS
For any questions on the Certificate in Data Science at Georgetown University, reach out to the admissions and enrollment or student account offices.
Online Certificate in Data Science | Georgetown SCS
Students of the Online Certificate in Data Science at Georgetown will learn the technical and analytical skills required to collect, clean, model, and present data.
XBUS-750 Data Science | Georgetown School of Continuing …
Led by academics and professionals within the data science community, our program incorporates hands-on coursework as well as group work focused on real-world data science …
Tuition & Funding | Certificate in Data Science | Georgetown SCS
Tuition for the Certificate in Data Science at Georgetown School of Continuing Studies varies by course and has several finance and funding options available.
Professional Certificate Programs | Georgetown SCS
Professional Certificate Programs In as little as two weeks, earn a credential to help you reach the next step—whether it's advancing to senior management, starting a business, or pursuing a …
Online Certificate in Data Analytics | Georgetown SCS
Georgetown’s Online Certificate in Data Analytics prepares you with the cutting-edge analytical and technical skills that empower you to use data to communicate results and support decision …
Certificate in Data Analytics | Georgetown ... - Georgetown University
Beginning with the study of SQL and Python, students will learn how to to store, access, and manipulate data in relational databases. Statistical tools will be discussed to understand …
Certificate in Data Science Application: Fall 2025 | Georgetown …
The Certificate in Data Science is a cohort-based, competitive program with a selective admission process. An application is required to enroll in the program. If accepted, students are required …
XBUS-490 - Python Basics for Data Analysis - Georgetown University
Benjamin is the program director of the Georgetown Data Science Certificate programs where he also teaches Machine Learning and courses in Advanced Data Science as well as graduate …
Certificate in Advanced Data Visualization | Georgetown SCS
The Data Science and Analytics (DSAN) program within the Graduate School of Arts & Sciences and the School of Continuing Studies at Georgetown University are partnering to offer a …
Contact Us | Certificate in Data Science | Georgetown SCS
For any questions on the Certificate in Data Science at Georgetown University, reach out to the admissions and enrollment or student account offices.
