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| columbia engineering data analytics boot camp: 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. |
| columbia engineering data analytics boot camp: JavaScript & jQuery Jon Duckett, 2014-07-21 Jon Duckett’s best-selling, full-color introduction to JavaScript—filled with techniques to make websites more interactive and engaging Learn JavaScript and jQuery from the author who has inspired hundreds of thousands of beginner-to-intermediate coders. Build upon your HTML and CSS foundation and take the next step in your programming journey with JavaScript. The world runs on JavaScript and the most influential tech companies are looking for new and experienced programmers alike to bring their websites to life. Finding the right resources online can be overwhelming. Take a confident step in the right direction by choosing the simplicity of JavaScript & jQuery: Interactive Front-End Web Development by veteran web developer and programmer Jon Duckett. Widely regarded for setting a new standard for those looking to learn and master web development, Jon Duckett has inspired web developers through his inventive teaching format pioneered in his bestselling HTML & CSS: Design and Build Websites. He also has helped global brands like Philips, Nike, and Xerox create innovative digital solutions, designing and delivering web and mobile projects with impact and the customer at the forefront. In JavaScript & jQuery, Duckett shares his real-world insights in his unique and highly visual style: Provides an efficient and user-friendly structure that allows readers to progress through the chapters in a self-paced format Combines full-color design graphics and engaging photography to explain the topics in an in-depth yet straightforward manner Recreates techniques seen on other websites such as sliders, content filters, form validation, Ajax content updates, and much more Is perfect for anyone looking to create web applications and games, design mobile apps, or redesign a website using popular web development tools JavaScript & jQuery is clear and actionable, providing organized instruction in ways that other online courses, tutorials, and books have yet to replicate. For readers seeking a personable yet professional guide to using JavaScript in the real world, this one-of-a-kind guide is for you. JavaScript & jQuery is also available as part of two hardcover and paperback sets depending on your web design and development needs: Web Design with HTML, CSS, JavaScript, and jQuery Set Paperback: 9781118907443 Hardcover: 9781119038634 Front-End Back-End Development with HTML, CSS, JavaScript, jQuery, PHP, and MySQL Set Paperback: 9781119813095 Hardcover: 9781119813088 |
| columbia engineering data analytics boot camp: Head First C# Andrew Stellman, Jennifer Greene, 2020-12-04 What will you learn from this book? Dive into C# and create apps, user interfaces, games, and more using this fun and highly visual introduction to C#, .NET Core, and Visual Studio. With this completely updated guide, which covers C# 8.0 and Visual Studio 2019, beginning programmers like you will build a fully functional game in the opening chapter. Then you'll learn how to use classes and object-oriented programming, create 3D games in Unity, and query data with LINQ. And you'll do it all by solving puzzles, doing hands-on exercises, and building real-world applications. By the time you're done, you'll be a solid C# programmer--and you'll have a great time along the way! What's so special about this book? Based on the latest research in cognitive science and learning theory, Head First C# uses a visually rich format to engage your mind rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multisensory learning experience is designed for the way your brain really works. |
| columbia engineering data analytics boot camp: Big Data Viktor Mayer-Schönberger, Kenneth Cukier, 2013 A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large. |
| columbia engineering data analytics boot camp: Learn Ruby the Hard Way Zed A. Shaw, 2014-12-01 You Will Learn Ruby! Zed Shaw has perfected the world’s best system for learning Ruby. Follow it and you will succeed—just like the hundreds of thousands of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Ruby the Hard Way, Third Edition, you’ll learn Ruby by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how software works; what good programs look like; how to read, write, and think about code; and how to find and fix your mistakes using tricks professional programmers use. Most importantly, you’ll learn the following, which you need to start writing excellent Ruby software of your own: • Installing your Ruby environment • Organizing and writing code • Ruby symbols and keywords • Basic mathematics • Variables and printing • Strings and text • Interacting with users • Working with files • Using and creating functions • Looping and logic • Arrays and elements • Hashmaps • Program design • Object-oriented programming • Inheritance and composition • Modules, classes, and objects • Project “skeleton” directories • Debugging and automated testing • Advanced user input • Text processing • Basic game development • Basic web development It’ll Be Hard At First. But Soon, You’ll Just Get It—And That Will Feel Great! This tutorial will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Ruby programmer. |
| columbia engineering data analytics boot camp: Building America's Skilled Technical Workforce National Academies of Sciences, Engineering, and Medicine, National Academy of Engineering, Division of Behavioral and Social Sciences and Education, Policy and Global Affairs, Board on Science Education, Board on Higher Education and Workforce, Board on Science, Technology, and Economic Policy, Committee on the Supply Chain for Middle-Skill Jobs: Education, Training, and Certification Pathways, 2017-06-04 Skilled technical occupationsâ€defined as occupations that require a high level of knowledge in a technical domain but do not require a bachelor's degree for entryâ€are a key component of the U.S. economy. In response to globalization and advances in science and technology, American firms are demanding workers with greater proficiency in literacy and numeracy, as well as strong interpersonal, technical, and problem-solving skills. However, employer surveys and industry and government reports have raised concerns that the nation may not have an adequate supply of skilled technical workers to achieve its competitiveness and economic growth objectives. In response to the broader need for policy information and advice, Building America's Skilled Technical Workforce examines the coverage, effectiveness, flexibility, and coordination of the policies and various programs that prepare Americans for skilled technical jobs. This report provides action-oriented recommendations for improving the American system of technical education, training, and certification. |
| columbia engineering data analytics boot camp: The Text Mining Handbook Ronen Feldman, James Sanger, 2007 Publisher description |
| columbia engineering data analytics boot camp: Rapid Development Steve McConnell, 1996-07-02 Corporate and commercial software-development teams all want solutions for one important problem—how to get their high-pressure development schedules under control. In RAPID DEVELOPMENT, author Steve McConnell addresses that concern head-on with overall strategies, specific best practices, and valuable tips that help shrink and control development schedules and keep projects moving. Inside, you’ll find: A rapid-development strategy that can be applied to any project and the best practices to make that strategy work Candid discussions of great and not-so-great rapid-development practices—estimation, prototyping, forced overtime, motivation, teamwork, rapid-development languages, risk management, and many others A list of classic mistakes to avoid for rapid-development projects, including creeping requirements, shortchanged quality, and silver-bullet syndrome Case studies that vividly illustrate what can go wrong, what can go right, and how to tell which direction your project is going RAPID DEVELOPMENT is the real-world guide to more efficient applications development. |
| columbia engineering data analytics boot camp: Geek Girl Rising Heather Cabot, Samantha Walravens, 2017-05-23 I don’t know much about tech, but I do know that these pioneer women are pretty dope. Geek Girl Rising gives a much needed voice to the fearless women paving an important path in the tech world, while forming a lasting sisterhood along the way.” - Kelly Ripa Meet the women who aren’t asking permission from Silicon Valley to chase their dreams. They are going for it—building cutting-edge tech startups, investing in each other’s ventures, crushing male hacker stereotypes, and rallying the next generation of women in tech. With a nod to tech trailblazers like Sheryl Sandberg and Marissa Mayer, Geek Girl Rising introduces readers to the fearless female founders, technologists, and innovators fighting at a grassroots level for an ownership stake in the revolution that’s changing the way we live, work, and connect. Readers will meet Debbie Sterling, inventor of GoldieBlox, the first engineering toy for girls, which topples the notion that only boys can build; peek inside YouTube sensation Michelle Phan’s ipsy studios, where she is grooming the next generation of digital video stars while leading her own mega e-commerce beauty business; and tour the headquarters of The Muse, the hottest career site for millennials, and meet its intrepid CEO, Kathryn Minshew, who stared down sexism while raising millions of dollars to fund the company she co-founded. These women are the rebels proving that a female point of view matters in the age of technology and can rock big returns if you have a big idea and the passion to build it. |
| columbia engineering data analytics boot camp: Child Data Citizen Veronica Barassi, 2020-12-22 An examination of the datafication of family life--in particular, the construction of our children into data subjects. Our families are being turned into data, as the digital traces we leave are shared, sold, and commodified. Children are datafied even before birth, with pregnancy apps and social media postings, and then tracked through babyhood with learning apps, smart home devices, and medical records. If we want to understand the emergence of the datafied citizen, Veronica Barassi argues, we should look at the first generation of datafied natives: our children. In Child Data Citizen, she examines the construction of children into data subjects, describing how their personal information is collected, archived, sold, and aggregated into unique profiles that can follow them across a lifetime. |
| columbia engineering data analytics boot camp: Business Statistics for Contemporary Decision Making Ignacio Castillo, Ken Black, Tiffany Bayley, 2023-05-08 Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace. |
| columbia engineering data analytics boot camp: Learn Like a Pro Barbara Oakley PhD, Olav Schewe, 2021-06-01 A book for learners of all ages containing the best and most updated advice on learning from neuroscience and cognitive psychology. Do you spend too much time learning with disappointing results? Do you find it difficult to remember what you read? Do you put off studying because it’s boring and you’re easily distracted? This book is for you. Dr. Barbara Oakley and Olav Schewe have both struggled in the past with their learning. But they have found techniques to help them master any material. Building on insights from neuroscience and cognitive psychology, they give you a crash course to improve your ability to learn, no matter what the subject is. Through their decades of writing, teaching, and research on learning, the authors have developed deep connections with experts from a vast array of disciplines. And it’s all honed with feedback from thousands of students who have themselves gone through the trenches of learning. Successful learners gradually add tools and techniques to their mental toolbox, and they think critically about their learning to determine when and how to best use their mental tools. That allows these learners to make the best use of their brains, whether those brains seem “naturally” geared toward learning or not. This book will teach you how you can do the same. |
| columbia engineering data analytics boot camp: Artificial Intelligence and the Future of Defense Stephan De Spiegeleire, Matthijs Maas, Tim Sweijs, 2017-05-17 Artificial intelligence (AI) is on everybody’s minds these days. Most of the world’s leading companies are making massive investments in it. Governments are scrambling to catch up. Every single one of us who uses Google Search or any of the new digital assistants on our smartphones has witnessed first-hand how quickly these developments now go. Many analysts foresee truly disruptive changes in education, employment, health, knowledge generation, mobility, etc. But what will AI mean for defense and security? In a new study HCSS offers a unique perspective on this question. Most studies to date quickly jump from AI to autonomous (mostly weapon) systems. They anticipate future armed forces that mostly resemble today’s armed forces, engaging in fairly similar types of activities with a still primarily industrial-kinetic capability bundle that would increasingly be AI-augmented. The authors of this study argue that AI may have a far more transformational impact on defense and security whereby new incarnations of ‘armed force’ start doing different things in novel ways. The report sketches a much broader option space within which defense and security organizations (DSOs) may wish to invest in successive generations of AI technologies. It suggests that some of the most promising investment opportunities to start generating the sustainable security effects that our polities, societies and economies expect may lie in in the realms of prevention and resilience. Also in those areas any large-scale application of AI will have to result from a preliminary open-minded (on all sides) public debate on its legal, ethical and privacy implications. The authors submit, however, that such a debate would be more fruitful than the current heated discussions about ‘killer drones’ or robots. Finally, the study suggests that the advent of artificial super-intelligence (i.e. AI that is superior across the board to human intelligence), which many experts now put firmly within the longer-term planning horizons of our DSOs, presents us with unprecedented risks but also opportunities that we have to start to explore. The report contains an overview of the role that ‘intelligence’ - the computational part of the ability to achieve goals in the world - has played in defense and security throughout human history; a primer on AI (what it is, where it comes from and where it stands today - in both civilian and military contexts); a discussion of the broad option space for DSOs it opens up; 12 illustrative use cases across that option space; and a set of recommendations for - especially - small- and medium sized defense and security organizations. |
| columbia engineering data analytics boot camp: Too Big to Ignore Phil Simon, 2013-03-05 Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals. |
| columbia engineering data analytics boot camp: Teaching Tech Together Greg Wilson, 2019-10-08 Hundreds of grassroots groups have sprung up around the world to teach programming, web design, robotics, and other skills outside traditional classrooms. These groups exist so that people don't have to learn these things on their own, but ironically, their founders and instructors are often teaching themselves how to teach. There's a better way. This book presents evidence-based practices that will help you create and deliver lessons that work and build a teaching community around them. Topics include the differences between different kinds of learners, diagnosing and correcting misunderstandings, teaching as a performance art, what motivates and demotivates adult learners, how to be a good ally, fostering a healthy community, getting the word out, and building alliances with like-minded groups. The book includes over a hundred exercises that can be done individually or in groups, over 350 references, and a glossary to help you navigate educational jargon. |
| columbia engineering data analytics boot camp: How to Watch Television, Second Edition Ethan Thompson, Jason Mittell, 2020-03-31 A new edition that brings the ways we watch and think about television up to the present We all have opinions about the television shows we watch, but television criticism is about much more than simply evaluating the merits of a particular show and deeming it “good” or “bad.” Rather, criticism uses the close examination of a television program to explore that program’s cultural significance, creative strategies, and its place in a broader social context. How to Watch Television, Second Edition brings together forty original essays—more than half of which are new to this edition—from today’s leading scholars on television culture, who write about the programs they care (and think) the most about. Each essay focuses on a single television show, demonstrating one way to read the program and, through it, our media culture. From fashioning blackness in Empire to representation in Orange is the New Black and from the role of the reboot in Gilmore Girls to the function of changing political atmospheres in Roseanne, these essays model how to practice media criticism in accessible language, providing critical insights through analysis—suggesting a way of looking at TV that students and interested viewers might emulate. The contributors discuss a wide range of television programs past and present, covering many formats and genres, spanning fiction and non-fiction, broadcast, streaming, and cable. Addressing shows from TV’s earliest days to contemporary online transformations of the medium, How to Watch Television, Second Edition is designed to engender classroom discussion among television critics of all backgrounds. To access additional essays from the first edition, visit the links tab at nyupress.org/9781479898817/how-to-watch-television-second-edition/. |
| columbia engineering data analytics boot camp: Insider Attack and Cyber Security Salvatore J. Stolfo, Steven M. Bellovin, Shlomo Hershkop, Angelos D. Keromytis, Sara Sinclair, Sean W. Smith, 2008-08-29 This book defines the nature and scope of insider problems as viewed by the financial industry. This edited volume is based on the first workshop on Insider Attack and Cyber Security, IACS 2007. The workshop was a joint effort from the Information Security Departments of Columbia University and Dartmouth College. The book sets an agenda for an ongoing research initiative to solve one of the most vexing problems encountered in security, and a range of topics from critical IT infrastructure to insider threats. In some ways, the insider problem is the ultimate security problem. |
| columbia engineering data analytics boot camp: Pentagon 9/11 Alfred Goldberg, 2007-09-05 The most comprehensive account to date of the 9/11 attack on the Pentagon and aftermath, this volume includes unprecedented details on the impact on the Pentagon building and personnel and the scope of the rescue, recovery, and caregiving effort. It features 32 pages of photographs and more than a dozen diagrams and illustrations not previously available. |
| columbia engineering data analytics boot camp: Data Information Literacy Jake Carlson, Lisa R. Johnston, 2015-01-15 Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data will graduate students in STEM disciplines need to be successful in their fields? And what role can librarians play in helping students attain these competencies? In addressing these questions, this book articulates a new area of opportunity for librarians and other information professionals, developing educational programs that introduce graduate students to the knowledge and skills needed to work with research data. The term data information literacy has been adopted with the deliberate intent of tying two emerging roles for librarians together. By viewing information literacy and data services as complementary rather than separate activities, the contributors seek to leverage the progress made and the lessons learned in each service area. The intent of the publication is to help librarians cultivate strategies and approaches for developing data information literacy programs of their own using the work done in the multiyear, IMLS-supported Data Information Literacy (DIL) project as real-world case studies. The initial chapters introduce the concepts and ideas behind data information literacy, such as the twelve data competencies. The middle chapters describe five case studies in data information literacy conducted at different institutions (Cornell, Purdue, Minnesota, Oregon), each focused on a different disciplinary area in science and engineering. They detail the approaches taken, how the programs were implemented, and the assessment metrics used to evaluate their impact. The later chapters include the DIL Toolkit, a distillation of the lessons learned, which is presented as a handbook for librarians interested in developing their own DIL programs. The book concludes with recommendations for future directions and growth of data information literacy. More information about the DIL project can be found on the project's website: datainfolit.org. |
| columbia engineering data analytics boot camp: HTML and CSS Jon Duckett, 2011-11-08 Jon Duckett’s best-selling, full color introduction to HTML and CSS—making complex topics simple, accessible, and fun! Learn HTML and CSS from the book that has inspired hundreds of thousands of beginner-to-intermediate coders. Professional web designers, developers, and programmers as well as new learners are looking to amp up their web design skills at work and expand their personal development—yet finding the right resources online can be overwhelming. Take a confident step in the right direction by choosing the simplicity of HTML & CSS: Design and Build Websites by veteran web developer and programmer Jon Duckett. Widely regarded for setting a new standard for those looking to learn and master web development through his inventive teaching format, Jon Duckett has helped global brands like Philips, Nike, and Xerox create innovative digital solutions, designing and delivering web and mobile projects with impact and the customer at the forefront. In HTML & CSS, Duckett shares his real-world insights in a unique and highly visual style: Introduces HTML and CSS in a way that makes them accessible to everyone―from students to freelancers, and developers, programmers, marketers, social media managers, and more Combines full-color design graphics and engaging photography to explain the topics in an in-depth yet straightforward manner Provides an efficient and user-friendly structure that allows readers to progress through the chapters in a self-paced format Is perfect for anyone looking to update a content management system, run an e-commerce store, or redesign a website using popular web development tools HTML & CSS is well-written and readable, providing organized instruction in ways that other online courses, tutorials, and books have yet to replicate. For readers seeking a comprehensive yet concise guide to HTML and CSS, look no further than this one-of-a-kind guide. HTML & CSS is also available as part of two hardcover and paperback sets depending on your web design and development needs: Web Design with HTML, CSS, JavaScript, and jQuery Set Paperback: 9781118907443 Hardcover: 9781119038634 Front-End Back-End Development with HTML, CSS, JavaScript, jQuery, PHP, and MySQL Set Paperback: 9781119813095 Hardcover: 9781119813088 |
| columbia engineering data analytics boot camp: Reversing Eldad Eilam, 2011-12-12 Beginning with a basic primer on reverse engineering-including computer internals, operating systems, and assembly language-and then discussing the various applications of reverse engineering, this book provides readers with practical, in-depth techniques for software reverse engineering. The book is broken into two parts, the first deals with security-related reverse engineering and the second explores the more practical aspects of reverse engineering. In addition, the author explains how to reverse engineer a third-party software library to improve interfacing and how to reverse engineer a competitor's software to build a better product. * The first popular book to show how software reverse engineering can help defend against security threats, speed up development, and unlock the secrets of competitive products * Helps developers plug security holes by demonstrating how hackers exploit reverse engineering techniques to crack copy-protection schemes and identify software targets for viruses and other malware * Offers a primer on advanced reverse-engineering, delving into disassembly-code-level reverse engineering-and explaining how to decipher assembly language |
| columbia engineering data analytics boot camp: Learning Deep Learning Magnus Ekman, 2021-07-19 NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals. -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us. -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| columbia engineering data analytics boot camp: Introductory Statistics Robert Gould, Colleen Nooter Ryan, Michelle Boué, 2016-01-15 We live in a data-driven world, and the goal of this Canadian text is to teach students how to access and analyze these data critically. Canadian authors Jim Stallard and Michelle Boué emphasize that learning statistics extends beyond the classroom to an essential life skill, and want Canadian students to develop a data habit of mind. Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students. KEY TOPICS: Introduction to Data; Picturing Variation with Graphs; Numerical Summaries of Centre and Variation; Regression Analysis: Exploring Associations between Variables; Modelling Variation with Probability; Modeling Random Events: The Normal and Binomial Models; Survey Sampling and Inference; Hypothesis Testing for Population Proportions; Inferring Population Means; Associations between Categorical Variables; Multiple Comparisons and Analysis of Variance; Experimental Design: Controlling Variation; Inference without Normality;Inference for Regression MARKET: A textbook suitable for all introductory statistics courses |
| columbia engineering data analytics boot camp: The Fast Track to New Skills María Marta Ferreyra, Lelys Dinarte Díaz, Sergio Urzúa, 2021-11-09 Short-cycle higher education programs (SCPs) form skilled human capital in two or three years. Through original empirical research, this book explores SCPs? outcomes and returns, their supply, and what makes them good. It draws attention towards a higher education sector that has been typically overlooked in research and policy. |
| columbia engineering data analytics boot camp: Past, Present, and Future of Statistical Science Xihong Lin, Christian Genest, David L. Banks, Geert Molenberghs, David W. Scott, Jane-Ling Wang, 2014-03-26 Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics. COPSS consists of five charter member statistical societies in North America and is best known for sponsoring prestigious awards in stat |
| columbia engineering data analytics boot camp: Hacking Your Education Dale J. Stephens, 2013-03-05 It’s no secret that college doesn’t prepare students for the real world. Student loan debt recently eclipsed credit card debt for the first time in history and now tops one trillion dollars. And the throngs of unemployed graduates chasing the same jobs makes us wonder whether there’s a better way to “make it” in today’s marketplace. There is—and Dale Stephens is proof of that. In Hacking Your Education, Stephens speaks to a new culture of “hackademics” who think college diplomas are antiquated. Stephens shows how he and dozens of others have hacked their education, and how you can, too. You don’t need to be a genius or especially motivated to succeed outside school. The real requirements are much simpler: curiosity, confidence, and grit. Hacking Your Education offers valuable advice to current students as well as those who decided to skip college. Stephens teaches you to create opportunities for yourself and design your curriculum—inside or outside the classroom. Whether your dream is to travel the world, build a startup, or climb the corporate ladder, Stephens proves you can do it now, rather than waiting for life to start after “graduation” day. |
| columbia engineering data analytics boot camp: Ghost-Managed Medicine Sergio Sismondo, 2018 |
| columbia engineering data analytics boot camp: The Four Steps to the Epiphany Steve Blank, 2020-03-17 The bestselling classic that launched 10,000 startups and new corporate ventures - The Four Steps to the Epiphany is one of the most influential and practical business books of all time. The Four Steps to the Epiphany launched the Lean Startup approach to new ventures. It was the first book to offer that startups are not smaller versions of large companies and that new ventures are different than existing ones. Startups search for business models while existing companies execute them. The book offers the practical and proven four-step Customer Development process for search and offers insight into what makes some startups successful and leaves others selling off their furniture. Rather than blindly execute a plan, The Four Steps helps uncover flaws in product and business plans and correct them before they become costly. Rapid iteration, customer feedback, testing your assumptions are all explained in this book. Packed with concrete examples of what to do, how to do it and when to do it, the book will leave you with new skills to organize sales, marketing and your business for success. If your organization is starting a new venture, and you're thinking how to successfully organize sales, marketing and business development you need The Four Steps to the Epiphany. Essential reading for anyone starting something new. The Four Steps to the Epiphany was originally published by K&S Ranch Publishing Inc. and is now available from Wiley. The cover, design, and content are the same as the prior release and should not be considered a new or updated product. |
| columbia engineering data analytics boot camp: The Latino Student's Guide to STEM Careers Laura I. Rendón, Vijay Kanagala, 2017-09-08 This book is an essential resource that Latino/a students and families need to make the best decisions about entering and succeeding in a STEM career. It can also serve to aid faculty, counselors, and advisors to assist students at every step of entering and completing a STEM career. As a fast-growing, major segment of the U.S. population, the next generation of Latinos and Latinas could be key to future American advances in science and technology. With the appropriate encouragement for Latinos/as to enter science, technology, engineering, and mathematics (STEM) careers, they can become the creative innovators who will produce technological advances we all need and can enjoy—from faster tech devices to more energy efficient transportation to cures for diseases and medical conditions. This book presents a compelling case that the nation's Hispanic population must be better represented in STEM careers and that the future of America's technological advances may well depend on the Latino/a population. It focuses on the importance of STEM education for Latinos/as and provides a comprehensive array of the most current information students and families need to make informed decisions about entering and succeeding in a STEM career. Students, families, and educators will fully understand why STEM is so important for Latinos/as, how to plan for a career in STEM, how to pay for and succeed in college, and how to choose a career in STEM. The book also includes compelling testimonials of Latino/a students who have completed a STEM major that offer proof that Latinos/as can overcome life challenges to succeed in STEM fields. |
| columbia engineering data analytics boot camp: Smart Grid Communications and Networking Ekram Hossain, Zhu Han, H. Vincent Poor, 2012-05-24 This one-stop reference provides the state-of-the-art theory, key strategies, protocols, deployment aspects, standardization activities and experimental studies of communication and networking technologies for the smart grid. Expert authors provide all the essential information researchers need to progress in the field and to allow power systems engineers to optimize their communication systems. |
| columbia engineering data analytics boot camp: Healthcare Data Analytics Chandan K. Reddy, Charu C. Aggarwal, 2015-06-23 At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available |
| columbia engineering data analytics boot camp: The Big Unlock Paddy Padmanabhan, 2017-11-17 Along with a shift towards value-based care, a digital transformation is under way in health care. However, health care enterprises are having a hard time keeping up with advances in information technology. Organizations that could once spend months or years developing a strategy to deliver solutions now must implement changes on a near real-time basis. Complicating matters is the emergence of new data sources, new technology architectures and models, and new methods to analyze an avalanche of data. This book provides a framework for understanding the competitive landscape for digital health and advanced analytics solutions that are harnessing data to unlock insights. It reveals a set of key principles, or universal themes, for success in the digital health marketplace. Whether youre a health care information technology specialist, a digital health startup or technology firm with a strategic focus on health care, a venture capitalist, or just interested in the industry structure and the emerging technology landscape in health care, youll learn how to grow revenue and profits while creating a sustainable competitive advantage. Take a key step in navigating the exciting transformation of health care, and harness the power of data and analytics with The Big Unlock. |
| columbia engineering data analytics boot camp: Technical Writing For Dummies Sheryl Lindsell-Roberts, 2011-04-27 A complete and friendly guide to technical writing! Let’s face it, a lot of technical documentation reads as if it had been translated into English from Venutian by a native speaker of gibberish. Which is annoying for you and expensive for the manufacturer who pays with alienated customers and soaring technical support costs. That’s why good technical writers are in such big demand worldwide. Now, Technical Writing For Dummies arms you with the skills you need to cash in on that demand. Whether you’re contemplating a career as a technical writer, or you just got tapped for a technical writing project, this friendly guide is your ticket to getting your tech writing skills up to snuff. It shows you step-by-step how to: Research and organize information for your documents Plan your project in a technical brief Fine-tune and polish your writing Work collaboratively with your reviewers Create great user manuals, awesome abstracts, and more Write first-rate electronic documentation Write computer- and Web-based training courses Discover how to write energized technical documents that have the impact you want on your readers. Wordsmith Sheryl Lindsell-Roberts covers all the bases, including: All about the red-hot market for technical writing and how to get work as a technical writer The ABCs of creating a strong technical document, including preparing a production schedule, brainstorming, outlining, drafting, editing, rewriting, testing, presentation, and more Types of technical documents, including user manuals, abstracts, spec sheets, evaluation forms and questionnaires, executive summaries, and presentations Writing for the Internet—covers doing research online, creating multimedia documents, developing computer-based training and Web-based training, and writing online help Combining examples, practical advice, and priceless insider tips on how to write whiz-bang technical documents, Technical Writing For Dummies is an indispensable resource for newcomers to technical writing and pros looking for new ideas to advance their careers. |
| columbia engineering data analytics boot camp: Getting the Word Out Maria Bonn, Mike Furlough, 2015 In the past decade there has been an intense growth in the number of library publishing services supporting faculty and students. Unified by a commitment to both access and service, library publishing programs have grown from an early focus on backlist digitization to encompass publication of student works, textbooks, research data, as well as books and journals. This growing engagement with publishing is a natural extension of the academic library's commitment to support the creation of and access to scholarship. This volume includes chapters by some of the most talented thinkers in this area of librarianship, exploring topics such as the economics of publishing and the challenges of collaboration, and surveying the service landscape for publishing in support of a variety of formats and methods.0. |
| columbia engineering data analytics boot camp: Predicting the Dynamics of Research Impact Yannis Manolopoulos, Thanasis Vergoulis, 2021-09-22 This book provides its readers with an introduction to interesting prediction and science dynamics problems in the field of Science of Science. Prediction focuses on the forecasting of future performance (or impact) of an entity, either a research article or a scientist, and also the prediction of future links in collaboration networks or identifying missing links in citation networks. The single chapters are written in a way that help the reader gain a detailed technical understanding of the corresponding subjects, the strength and weaknesses of the state-of-the-art approaches for each described problem, and the currently open challenges. While chapter 1 provides a useful contribution in the theoretical foundations of the fields of scientometrics and science of science, chapters 2-4 turn the focal point to the study of factors that affect research impact and its dynamics. Chapters 5-7 then focus on article-level measures that quantify the current and future impact of scientific articles. Next, chapters 8-10 investigate subjects relevant to predicting the future impact of individual researchers. Finally, chapters 11-13 focus on science evolution and dynamics, leveraging heterogeneous and interconnected data, where the analysis of research topic trends and their evolution has always played a key role in impact prediction approaches and quantitative analyses in the field of bibliometrics. Each chapter can be read independently, since it includes a detailed description of the problem being investigated along with a thorough discussion and study of the respective state-of-the-art. Due to the cross-disciplinary character of the Science of Science field, the book may be useful to interested readers from a variety of disciplines like information science, information retrieval, network science, informetrics, scientometrics, and machine learning, to name a few. The profiles of the readers may also be diverse ranging from researchers and professors in the respective fields to students and developers being curious about the covered subjects. |
| columbia engineering data analytics boot camp: Business unIntelligence Barry Devlin, 2013-10 Business intelligence (BI) used to be so simple—in theory anyway. Integrate and copy data from your transactional systems into a specialized relational database, apply BI reporting and query tools and add business users. Job done. No longer. Analytics, big data and an array of diverse technologies have changed everything. More importantly, business is insisting on ever more value, ever faster from information and from IT in general. An emerging biz-tech ecosystem demands that business and IT work together. Business unIntelligence reflects the new reality that in today’s socially complex and rapidly changing world, business decisions must be based on a combination of rational and intuitive thinking. Integrating cues from diverse information sources and tacit knowledge, decision makers create unique meaning to innovate heuristically at the speed of thought. This book provides a wealth of new models that business and IT can use together to design support systems for tomorrow’s successful organizations. Dr. Barry Devlin, one of the earliest proponents of data warehousing, goes back to basics to explore how the modern trinity of information, process and people must be reinvented and restructured to deliver the value, insight and innovation required by modern businesses. From here, he develops a series of novel architectural models that provide a new foundation for holistic information use across the entire business. From discovery to analysis and from decision making to action taking, he defines a fully integrated, closed-loop business environment. Covering every aspect of business analytics, big data, collaborative working and more, this book takes over where BI ends to deliver the definitive framework for information use in the coming years. As the person who defined the conceptual framework and physical architecture for data warehousing in the 1980s, Barry Devlin has been an astute observer of the movement he initiated ever since. Now, in Business unIntelligence, Devlin provides a sweeping view of the past, present, and future of business intelligence, while delivering new conceptual and physical models for how to turn information into insights and action. Reading Devlin’s prose and vision of BI are comparable to reading Carl Sagan’s view of the cosmos. The book is truly illuminating and inspiring. --Wayne Eckerson, President, BI Leader Consulting Author, “Secrets of Analytical Leaders: Insights from Information Insiders” |
| columbia engineering data analytics boot camp: Transforming Trajectories for Women of Color in Tech National Academies of Sciences, Engineering, and Medicine, National Academies Of Sciences Engineeri, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on Addressing the Underrepresentation of Women of Color in Tech, 2022-09-09 Demand for tech professionals is expected to increase substantially over the next decade, and increasing the number of women of color in tech will be critical to building and maintaining a competitive workforce. Despite years of efforts to increase the diversity of the tech workforce, women of color have remained underrepresented, and the numbers of some groups of women of color have even declined. Even in cases where some groups of women of color may have higher levels of representation, data show that they still face significant systemic challenges in advancing to positions of leadership. Research evidence suggests that structural and social barriers in tech education, the tech workforce, and in venture capital investment disproportionately and negatively affect women of color. Transforming Trajectories for Women of Color in Tech uses current research as well as information obtained through four public information-gathering workshops to provide recommendations to a broad set of stakeholders within the tech ecosystem for increasing recruitment, retention, and advancement of women of color. This report identifies gaps in existing research that obscure the nature of challenges faced by women of color in tech, addresses systemic issues that negatively affect outcomes for women of color in tech, and provides guidance for transforming existing systems and implementing evidence-based policies and practices to increase the success of women of color in tech. |
| columbia engineering data analytics boot camp: Quantum Robotics Prateek Tandon, Stanley Lam, Ben Shih, Tanay Mehta, Alex Mitev, Zhiyang Ong, 2017-01-17 Quantum robotics is an emerging engineering and scientific research discipline that explores the application of quantum mechanics, quantum computing, quantum algorithms, and related fields to robotics. This work broadly surveys advances in our scientific understanding and engineering of quantum mechanisms and how these developments are expected to impact the technical capability for robots to sense, plan, learn, and act in a dynamic environment. It also discusses the new technological potential that quantum approaches may unlock for sensing and control, especially for exploring and manipulating quantum-scale environments. Finally, the work surveys the state of the art in current implementations, along with their benefits and limitations, and provides a roadmap for the future. |
| columbia engineering data analytics boot camp: Phys21 American Physical Society, American Association of Physics Teachers, 2016-10-14 A report by the Joint Task Force on Undergraduate Physics Programs |
| columbia engineering data analytics boot camp: The Innovation Mindset Lorraine Marchand, 2022-09-13 Innovation requires more than a eureka moment. The vast majority of new product ideas never make it to market. Typically, this is because of the failure to address a real problem that a customer has experienced and is willing to pay to have solved. What do people and businesses need to know about the realities of innovating in order to develop products successfully? Lorraine Marchand—a seasoned practitioner who has guided Fortune 500 companies and start-ups on developing and launching new ideas—lays out a step-by-step framework for spurring success. She shares her eight laws of innovation, a formula for driving significant and lasting transformation in any organization. Marchand emphasizes the frame of mind needed to spark the innovation process, underscoring the importance of creating a problem-solving culture and supporting personal curiosity, passion, and talent. She pinpoints the strengths shared by the big ideas that break through and debunks the myths that hold back aspiring creators. Drawing on her experience as a woman in a male-dominated field, Marchand discusses how to support entrepreneurship by women and highlights the contributions of underrepresented innovators. Marchand’s how-to program for innovation is clear and easy to follow, featuring a toolkit of strategic templates and planning frameworks that are illustrated by helpful case studies. Written in authoritative but conversational language, The Innovation Mindset offers a practical plan for both the veteran with another great idea and the first-timer with a big dream. |
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