Download or read book Move Fast written by Jeff Meyerson and published by Software Daily. This book was released on 2021-07-06 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last fifteen years, every major aspect of our lives has changed because of Facebook. You may not like Facebook, but you can't deny its success. And to a large degree, that success stems from the "move fast" ethos. The entire culture of Facebook is built for speed. Move Fast is an exploration of modern software strategies and tactics through the lens of Facebook. Relying on in-depth interviews with more than two dozen Facebook engineers, this book explores the product strategy, cultural principles, and technologies that made Facebook the dominant social networking company. Most importantly, Move Fast investigates how you can apply those strategies to your creative projects. It's not easy to build a software company, but once you know how to move fast, your company will be prepared to build a strategy that benefits from the world's rapid changes, rather than suffering from them.

Download or read book Cleaning Data for Effective Data Science written by David Mertz and published by Packt Publishing Ltd. This book was released on 2021-03-31 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: Think about your data intelligently and ask the right questions Key FeaturesMaster data cleaning techniques necessary to perform real-world data science and machine learning tasksSpot common problems with dirty data and develop flexible solutions from first principlesTest and refine your newly acquired skills through detailed exercises at the end of each chapterBook Description Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. If you work with any kind of data, this book is your go-to resource, arming you with the insights and heuristics experienced data scientists had to learn the hard way. In a light-hearted and engaging exploration of different tools, techniques, and datasets real and fictitious, Python veteran David Mertz teaches you the ins and outs of data preparation and the essential questions you should be asking of every piece of data you work with. Using a mixture of Python, R, and common command-line tools, Cleaning Data for Effective Data Science follows the data cleaning pipeline from start to end, focusing on helping you understand the principles underlying each step of the process. You'll look at data ingestion of a vast range of tabular, hierarchical, and other data formats, impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features. The long-form exercises at the end of each chapter let you get hands-on with the skills you've acquired along the way, also providing a valuable resource for academic courses. What you will learnIngest and work with common data formats like JSON, CSV, SQL and NoSQL databases, PDF, and binary serialized data structuresUnderstand how and why we use tools such as pandas, SciPy, scikit-learn, Tidyverse, and BashApply useful rules and heuristics for assessing data quality and detecting bias, like Benford’s law and the 68-95-99.7 ruleIdentify and handle unreliable data and outliers, examining z-score and other statistical propertiesImpute sensible values into missing data and use sampling to fix imbalancesUse dimensionality reduction, quantization, one-hot encoding, and other feature engineering techniques to draw out patterns in your dataWork carefully with time series data, performing de-trending and interpolationWho this book is for This book is designed to benefit software developers, data scientists, aspiring data scientists, teachers, and students who work with data. If you want to improve your rigor in data hygiene or are looking for a refresher, this book is for you. Basic familiarity with statistics, general concepts in machine learning, knowledge of a programming language (Python or R), and some exposure to data science are helpful.

Download or read book Data Queen written by Data Notebooks and published by Createspace Independent Publishing Platform. This book was released on 2018-11-19 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lined notebook makes the perfect gift for data queens, data nerds, scientists, analysts, software engineers, mathematicians, STEM students and programmers. 6x9 inches 110 pages Lined White paper Matte-finished cover

Download or read book Building Analytics Teams written by John K. Thompson and published by Packt Publishing Ltd. This book was released on 2020-06-30 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI Key FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook Description In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success. The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs. The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects. By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization. What you will learnAvoid organizational and technological pitfalls of moving from a defined project to a production environmentEnable team members to focus on higher-value work and tasksBuild Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organizationOutsource certain projects to competent and capable third partiesSupport the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analyticsAnalyze the operational area, the processes, the data, and the organizational resistanceWho this book is for This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.

Download or read book Info We Trust written by RJ Andrews and published by John Wiley & Sons. This book was released on 2019-01-03 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing. Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts — but must push further than dry defaults to be truly effective. How do we attract attention? How can we offer audiences valuable experiences worth their time? How can we help people access complexity? Dark and mysterious, but full of potential, data is the raw material from which new understanding can emerge. Become a hero of the information age as you learn how to dip into the chaos of data and emerge with new understanding that can entertain, improve, and inspire. Whether you call the craft data storytelling, data visualization, data journalism, dashboard design, or infographic creation — what matters is that you are courageously confronting the chaos of it all in order to improve how people see the world. Info We Trust is written for everyone who straddles the domains of data and people: data visualization professionals, analysts, and all who are enthusiastic for seeing the world in new ways. This book draws from the entirety of human experience, quantitative and poetic. It teaches advanced techniques, such as visual metaphor and data transformations, in order to create more human presentations of data. It also shows how we can learn from print advertising, engineering, museum curation, and mythology archetypes. This human-centered approach works with machines to design information for people. Advance your understanding beyond by learning from a broad tradition of putting things “in formation” to create new and wonderful ways of opening our eyes to the world. Info We Trust takes a thoroughly original point of attack on the art of informing. It builds on decades of best practices and adds the creative enthusiasm of a world-class data storyteller. Info We Trust is lavishly illustrated with hundreds of original compositions designed to illuminate the craft, delight the reader, and inspire a generation of data storytellers.

Download or read book The Rise of Nerd Politics written by John Postill and published by Anthropology, Culture and Society. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An anthropology of technology, protest and politics, from Podemos to Wikileaks.

Download or read book Presenting Data Effectively written by Stephanie Evergreen and published by SAGE Publications. This book was released on 2017-04-29 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the best possible communication strategies for anyone working with data. From students developing a research poster to faculty presenting data findings at a conference, it provides the guiding principles of presenting data in evidence-based ways so that audiences are more engaged and researchers are better understood.

Download or read book Good Charts written by Scott Berinato and published by Harvard Business Review Press. This book was released on 2016-04-26 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dataviz—the new language of business A good visualization can communicate the nature and potential impact of information and ideas more powerfully than any other form of communication. For a long time “dataviz” was left to specialists—data scientists and professional designers. No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could. What’s more, building good charts is quickly becoming a need-to-have skill for managers. If you’re not doing it, other managers are, and they’re getting noticed for it and getting credit for contributing to your company’s success. In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s—on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping. This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.” Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice. Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

Download or read book Show Me the Data written by Teesaurus Publishing and published by Createspace Independent Publishing Platform. This book was released on 2018-11-17 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lined notebook makes the perfect gift for data nerds, scientists, analysts, engineers, mathematicians, STEM students and programmers. 6x9 inches 110 pages Lined White paper Matte-finished cover

Download or read book Effective Data Visualization written by Stephanie D. H. Evergreen and published by SAGE Publications. This book was released on 2019-04-03 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: NOW IN FULL COLOR! Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate their data findings. This comprehensive how-to guide functions as a set of blueprints—supported by both research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for building the chosen graph in Excel. Now in full color with new examples throughout, the Second Edition includes a revamped chapter on qualitative data, nine new quantitative graph types, new shortcuts in Excel, and an entirely new chapter on Sharing Your Data With the World, which provides advice on using dashboards. New from Stephanie Evergreen! The Data Visualization Sketchbook provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats. Bundle Effective Data Visualization, 2e, and The Data Visualization Sketchbook, using ISBN 978-1-5443-7178-8!

Download or read book Be Data Analytical written by Jordan Morrow and published by Kogan Page Publishers. This book was released on 2023-06-03 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Be Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making. Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of analytics: descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making. Be Data Analytical examines each of these four levels of analytics in-depth: what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action.

Download or read book Data Literacy written by David Herzog and published by SAGE Publications. This book was released on 2015-01-29 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical, skill-based introduction to data analysis and literacy We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User's Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.

Download or read book Markets for Good Selected Readings Making Sense of Data and Information in the Social Sector written by Markets for Good and published by eBookIt.com. This book was released on 2014-02-13 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markets for Good is an effort by the Bill & Melinda Gates Foundation, the William & Flora Hewlett Foundation, and the progressive financial firm Liquidnet to improve the system for generating, sharing, and acting upon data and information in the social sector. Our vision is of a social sector powered by information, where interventions are more effective and innovative, where capital flows efficiently to the organizations that are having the greatest impact, and where there is a dynamic culture of continuous learning and development. Over the past several years, Markets for Good has been a forum for discussion and collaboration among online giving platforms, nonprofit information providers, nonprofit evaluators, philanthropic advisors, and other entities working to improve the global philanthropic system and social sector. This effort has included over 50 people from more than 20 organizations. The website, MarketsforGood.org, and the work that we hope follows from it, is an outgrowth of what we have learned and observed through this collaboration. This retrospective collection of selected readings from our site includes an introduction by Jeff Raikes, CEO of the Bill & Melinda Gates Foundation, in which he highlights the "continuing wave of efforts that will push our sector to achieve even greater impact." Following Jeff's introduction, the Markets for Good Collaboration Team recaps the first 15 months of the campaign, and how they expect Markets for Good to evolve going forward. The subsequent 17 posts and authors' updates provide a range of perspectives on the most critical data-related challenges facing the social sector, and how these challenges can be addressed. Posts were chosen for their high readership, topic diversity, and thought leadership. The authors debate new and recurring hurdles in the social sector, like capacity and capital constraints; how qualitative data, including stories and beneficiary insights, can be incorporated into data-driven decision processes; and big-, medium-, and small-data management.

Download or read book Big Data Baseball written by Travis Sawchik and published by Macmillan + ORM. This book was released on 2015-05-19 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Baseball provides a behind-the-scenes look at how the Pittsburgh Pirates used big data strategies to end the longest losing streak in North American pro sports history. New York Times Bestseller After twenty consecutive losing seasons for the Pittsburgh Pirates, team morale was low, the club’s payroll ranked near the bottom of the sport, game attendance was down, and the city was becoming increasingly disenchanted with its team. Big Data Baseball is the story of how the 2013 Pirates, mired in the longest losing streak in North American pro sports history, adopted drastic big-data strategies to end the drought, make the playoffs, and turn around the franchise’s fortunes. Big Data Baseball is Moneyball for a new generation. Award-winning journalist Travis Sawchik takes you behind the scenes to expertly weave together the stories of the key figures who changed the way the Pirates played the game, revealing how a culture of collaboration and creativity flourished as whiz-kid analysts worked alongside graybeard coaches to revolutionize the sport and uncover groundbreaking insights for how to win more games without spending a dime. From pitch framing to on-field shifts, this entertaining and enlightening underdog story closely examines baseball’s burgeoning big data movement and demonstrates how the millions of data points which aren’t immediately visible to players and spectators, are the bit of magic that led the Pirates to finish the 2013 season in second place and brought an end to a twenty-year losing streak.

Download or read book Mastering Data Visualization with Microsoft Visio Professional 2016 written by David J Parker and published by Packt Publishing Ltd. This book was released on 2016-05-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of presenting information visually using Microsoft Visio Professional 2016 and Visio Pro for Office365 About This Book A complete guide to data visualization with Microsoft Visio Professional 2016 Visualize information to meet the needs of your business Get the quick way to learn Microsoft Visio 2016 Who This Book Is For This book is aimed at the departmental-level business intelligence professional or Microsoft Office power-user who wants to create data diagrams with Microsoft Visio that can accurately represent business information visually. What You Will Learn Add external data from a variety of data sources Represent information with data graphics Create custom data-like shapes Export data from structured diagrams Present information graphics to non-Visio users Automate visualizations from data Develop custom templates and code for others In Detail Microsoft Visio Professional is a data visualization application that is used by many different market sectors and many different departments to represent information visually, from network infrastructure to organization charts, from process diagrams to office layouts. Starting off with a brief introduction to Visio Professional 2016 and then moving on to data storage, linking data to shapes, and working with SQL Server to create a solid foundation. Then we'll cover topics such as refreshing data, working with geographical data, working with various graphics, and diagrams, and more. Finally, you'll find out how to deploy custom stencils, templates, and code. Style and approach This book has real life examples that will let you explore all the new features of Microsoft Visio 2016 and apply them in your daily life.

Download or read book Data Literacy for Educators written by Ellen B. Mandinach and published by Teachers College Press. This book was released on 2016 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data literacy has become an essential skill set for teachers as education becomes more of an evidence-based profession. Teachers in all stages of professional growth need to learn how to use data effectively and responsibly to inform their teaching practices. This groundbreaking resource describes data literacy for teaching, emphasizing the important relationship between data knowledge and skills and disciplinary and pedagogical content knowledge. Case studies of emerging programs in schools of education are used to illustrate the key components needed to integrate data-driven decisionmaking into the teaching curricula. The book offers a clear path for change while also addressing the inherent complexities associated with change. Data Literacy for Educators provides concrete strategies for schools of education, professional developers, and school districts. Book Features: Defines data literacy for teaching and outlines the knowledge and skills it comprises. Uses examples and case studies that tie theory to practice. Provides a roadmap for integrating data literacy into teacher preparation programs. Covers emerging trends, such as virtual and hybrid courses and massive open online courses. “This thoughtful, well-organized book raises the challenges that beginning and experienced teachers face in becoming more data literate to increase their pedagogical effectiveness in their classrooms.” —From the Foreword by Barbara Schneider “Deans of colleges of education, practicing teachers, education advocates, and many others will find useful information here.” —Benjamin Riley, Deans for Impact “This work should join the ‘common core’ of teacher education and professional development programs.” —Lee S. Shulman, The Carnegie Foundation for the Advancement of Teaching “The authors lay out a compelling call to action to ensure that every teacher in this country has the skills, knowledge, and disposition in knowing how to use data to inform effective teaching.” —Aimee Rogstad Guidera, Data Quality Campaign

Download or read book Cultivating Knowledge written by Scott Tunison and published by Springer. This book was released on 2016-07-27 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade or two, there has been increasing consensus that academic research, if used judiciously to guide practice, improves both educational policy and pedagogy – ultimately leading to better outcomes for students. Yet, despite this potential, there remains a deep ravine between the body of knowledge built through research – especially at the intersection between specific interventions and improved student achievement – and the actions taken by policy makers, administrators, and classroom teachers in their regular practice. There are myriad reasons for this research-practice divide. Among them is that it is difficult for district-based people to access primary research. Furthermore, multiple waves of well-intentioned research-based but largely unsuccessful school reform efforts have resulted in skepticism among practitioners about research and, at the same time, damaged researchers’ credibility in the field. This book is divided into three broad areas. First, it develops an engaging analysis of the root causes for the research-practice gap in education. Second, it describes the framework developed and used in a public school district by the author to address the root causes and provides evidence of its efficacy to facilitate greater incorporation of research into school- and district-level practice. Through a process the author calls Knowledge Cultivation, the framework uses weekly research summaries for district leaders that are relevant to their “real-time” issues along with suggestions about ways in which the research might be useful. The final section of the book includes the actual research summaries used by the author over a five-year period.