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| data science powerpoint template: Presentation Zen Garr Reynolds, 2009-04-15 FOREWORD BY GUY KAWASAKI Presentation designer and internationally acclaimed communications expert Garr Reynolds, creator of the most popular Web site on presentation design and delivery on the Net — presentationzen.com — shares his experience in a provocative mix of illumination, inspiration, education, and guidance that will change the way you think about making presentations with PowerPoint or Keynote. Presentation Zen challenges the conventional wisdom of making slide presentations in today’s world and encourages you to think differently and more creatively about the preparation, design, and delivery of your presentations. Garr shares lessons and perspectives that draw upon practical advice from the fields of communication and business. Combining solid principles of design with the tenets of Zen simplicity, this book will help you along the path to simpler, more effective presentations. |
| data science powerpoint template: Fundamentals of Data Science Dr.Vemuri Sudarsan Rao, Dr.M.Sarada, Mrs.Masireddy Sadalaxmi, 2024-09-03 Dr.Vemuri Sudarsan Rao, Professor & Head, Department of Computer Science & Engineering, Sri Chaitanya Institute of Technology and Research (SCIT), Khammam, Telangana, India. Dr.M.Sarada, Associate Professor, Department of Computer Science & Engineering, Sri Chaitanya Institute of Technology and Research (SCIT), Khammam, Telangana, India. Mrs.Masireddy Sadalaxmi, Associate Professor, Department of Computer Science & Engineering, Sri Chaitanya Institute of Technology and Research (SCIT), Khammam, Telangana, India. |
| data science powerpoint template: Data Science for Sensory and Consumer Scientists Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis, 2023-09-29 Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world applications. It covers key topics including data manipulation, preparation, visualization, and analysis, as well as automated reporting, machine learning, text analysis, and dashboard creation. Written by leading experts in the field, this book is an essential resource for anyone looking to master the tools and techniques of data science and apply them to the study of consumer behavior and sensory-led product development. Whether you are a seasoned professional or a student just starting out, this book is the ideal guide to using data science to drive insights and inform decision-making in the sensory and consumer sciences. Key Features: • Elucidation of data scientific workflow. • Introduction to reproducible research. • In-depth coverage of data-scientific topics germane to sensory and consumer science. • Examples based in industrial practice used throughout the book |
| data science powerpoint template: Slide:ology Nancy Duarte, 2008-08-07 A collection of best practices for creating slide presentations. It changes your approach, process and expectations for developing visual aides. It makes the difference between a good presentation and a great one. |
| data science powerpoint template: Data Science for Water Utilities Peter Prevos, 2023-05-10 This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. Data Science for Water Utilities: Data as a Source of Value is an applied, practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that, with each case study, increases in complexity. The last case study analyses data using basic machine learning. Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R. |
| data science powerpoint template: Data Mining For Dummies Meta S. Brown, 2014-09-04 Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining. |
| data science powerpoint template: Sketching, Product Design Presentation Koos Eissen, Roselien Steur, 2014-12-30 From how to sketch to why to sketch |
| data science powerpoint template: blogdown Yihui Xie, Alison Presmanes Hill, Amber Thomas, 2017-12-01 blogdown: Creating Websites with R Markdown provides a practical guide for creating websites using the blogdown package in R. In this book, we show you how to use dynamic R Markdown documents to build static websites featuring R code (or other programming languages) with automatically rendered output such as graphics, tables, analysis results, and HTML widgets. The blogdown package is also suitable for technical writing with elements such as citations, footnotes, and LaTeX math. This makes blogdown an ideal platform for any website designed to communicate information about data science, data analysis, data visualization, or R programming. Note that blogdown is not just for blogging or sites about R; it can also be used to create general-purpose websites. By default, blogdown uses Hugo, a popular open-source static website generator, which provides a fast and flexible way to build your site content to be shared online. Other website generators like Jekyll and Hexo are also supported. In this book, you will learn how to: Build a website using the blogdown package; Create blog posts and other website content as dynamic documents that can be easily edited and updated; Customize Hugo templates to suit your site’s needs; Publish your website online; Migrate your existing websites to blogdown and Hugo. |
| data science powerpoint template: Dear Data Giorgia Lupi, Stefanie Posavec, 2016-09-13 Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates the infinitesimal, incomplete, imperfect, yet exquisitely human details of life, in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere. |
| data science powerpoint template: Building PowerPoint Templates Step by Step with the Experts Echo Swinford, Julie Terberg, 2012-09-28 Building PowerPointTemplates Supercharge your PowerPoint® presentations with custom templates and themes! Want to create presentations that are more consistent and cost-effective? Presentations that fully reflect your branding? Then don’t settle for Microsoft’s “out-of-the-box” templates and themes: create your own! In this easy, hands-on guide, two PowerPoint MVPs teach you every skill and technique you’ll need to build the perfect template–from planning and design, through theme building, custom layouts, colors, and deployment. Echo Swinford and Julie Terberg have distilled their immense PowerPoint knowledge into simple, step-by-step techniques you can use right now, whether you’re using PowerPoint 2010 or 2007 for Windows, or PowerPoint 2011 for Mac. Well-built templates are the backbone of great presentations—whether building them for your own use or designing for thousands of users, this book will guide you through the process of creating the most effective templates. Important Note: Upgrading from older versions of PowerPoint, such as PowerPoint 2003? Your old templates may no longer work. This book will help you make the transition painlessly! • Plan new templates and themes to maximize their business value for years to come • Understand the differences between templates and themes, and how they work together • Make better choices about color, fonts, and slide layouts • Create efficient templates for individual users, teams, and large organizations • Incorporate Notes and Handout Masters into your presentation templates • Provide example slides and default settings that lead to better presentations • Use Microsoft’s little-known Theme Builder to create effects and background styles • Work around hidden quirks in PowerPoint’s advanced template and theme features Echo Swinford, a Microsoft PowerPoint MVP since 2000, has been a featured speaker at the Presentatio Summit (formerly PowerPoint Live) since its inception. She is the expert voice and instructor behind PowerPoint 2010 LiveLessons (Video Training), the author of Fixing PowerPoint Annoyances and co-author of The PowerPoint 2007 Complete Makeover Kit. Julie Terberg is a Microsoft PowerPoint MVP and featured speaker at the Presentation Summit. She is the owner of Terberg Design and has been designing presentations since the mid-1980s. She is co-author of Perfect Medical Presentations. As contributing author for Presentations Magazine, she won awards for her Creative Techniques columns. |
| data science powerpoint template: Executing Data Quality Projects Danette McGilvray, 2021-05-27 Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online |
| data science powerpoint template: The Cognitive Style of PowerPoint Edward R. Tufte, 2006-01-01 Describes how to improve PowerPoint presentations. |
| data science powerpoint template: Data Analysis and Presentation Skills Jackie Willis, 2005-06-10 Data Analysis and Presentation Skills: An Introduction for the Life and Medical Sciences is an invaluable text allowing students to develop appropriate key skills when designing experiments, generating results, analysing data and ultimately presenting findings to academics and referees. Taking a hands-on approach, each of these key areas is introduced clearly and carefully, showing how to access and evaluate information using a variety of resources. Basic analytical theory is gradually introduced alongside practical applications to enhance student understanding. The reader is shown how to present data in charts using Microsoft Excel and statistical analysis is carefully explained showing clearly how to manipulate data in spreadsheets and analyse the results using commonly used tests. A section is also included on the use of PowerPoint as well as giving advice on how to prepare a short talk or seminar. Includes numerous relevant examples and case studies drawn from the Life Sciences Guidance on how to complete and present practical and project work through to postgraduate dissertation. Clear step-by-step introduction to Microsoft Excel, presentation skills and statistical analysis. Invaluable for all students within the Life and Medical Sciences |
| data science powerpoint template: Better Posters Zen Faulkes, 2021-05-24 Better posters mean better research. Distilling over a decade of experience from the popular Better Posters blog, Zen Faulkes will help you create a clear and informative conference poster that delivers maximum impact. Academics have used posters to share research for more than five decades, and tens of thousands of posters are presented at conferences every year. Despite the popularity of the format, no in-depth guide has been available on how to create and deliver compelling conference posters. From over-long titles, tiny text and swarms of logos, to bad font choices, chaotic colour schemes and blurry images – it’s easy to leave viewers confused about your poster’s message. The solution is Better Posters: a comprehensive guide to everything you need to know – from writing a title and submitting an abstract, to designing the poster and finally presenting it in the poster session. Your conference poster will be one of your first research outputs, and the poster session is your first introduction to a professional community. Making a great poster develops the skills to create publications, reports, outreach and teaching materials throughout your career. This book also has material for conference organizers on how to make a better poster session for their attendees. |
| data science powerpoint template: Storytelling with Data Cole Nussbaumer Knaflic, 2015-10-09 Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it! |
| data science powerpoint template: The Data Visualization Sketchbook Stephanie D. H. Evergreen, 2019-04-03 The Data Visualization Sketchbook, the latest addition to bestselling author Stephanie D.H. Evergreen’s arsenal of data viz tools, provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats including a project page, graphs, dashboards, a one-page handout, slide design, and a report structure. Dr. Evergreen shows how sketching gives people the space to think through not just an individual graphic, but how several graphics could fit together in a composition when creating drafts for infographics and dashboards. The book comprises seven complete sets of report templates for you to sketch in and plan your own reporting, and it includes full-color qualitative and quantitative Chart Choosers. This must-have sketchbook helps readers realize mistakes, find solutions quickly, and report data by methods that keep audiences engaged and informed. |
| data science powerpoint template: Data Science For Cyber-security Nicholas A Heard, Niall M Adams, Patrick Rubin-delanchy, Mellisa Turcotte, 2018-09-26 Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality.This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies. |
| data science powerpoint template: Development Research in Practice Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, Maria Ruth Jones, 2021-07-16 Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University |
| data science powerpoint template: Visualization Analysis and Design Tamara Munzner, 2014-12-01 Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques |
| data science powerpoint template: R for Data Science Hadley Wickham, Garrett Grolemund, 2016-12-12 Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true signals in your dataset Communicate—learn R Markdown for integrating prose, code, and results |
| data science powerpoint template: Driven by Data Paul Bambrick-Santoyo, 2010-04-12 Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD. |
| data science powerpoint template: Presentation Secrets Alexei Kapterev, 2011-08-31 Plan, create, and deliver amazing presentations! Alexei Kapterev's online presentation on presentations has seen more than one million views, all with no advertising or promotion. Building on this hit, he now brings us Presentation Secrets outlining his successful tactics for planning, producing, and presenting memorable and unique presentations. The author shares his insight, wisdom, and advice with impressive clarity and detail, covering the three main components required to a presentation: storyline design, slide design, and delivery. Presentation Secrets lets you get to work immediately, fully prepared, armed with confidence, and ready to inspire. Teaches everything that goes into a successful and memorable presentation Helps create a storyline, from planning the beginning, middle, and end, to establishing key points, to making a presentation scalable Discusses how to design a slide template that meets your goals, ensure consistency, and find focal points Dissects the delivery of a presentation, including how to create a character, integrate mistakes, listening to yourself, talking to the audience, and avoiding monotony Includes non-presentation metaphor to drive home your understanding of storytelling, improvisation, and delivery Also featuring real-world examples of presentations from the worlds of business, science, and politics, such as Steve Jobs, Hans Rosling, and Al Gore, this unique book delivers tried and tested secrets and inside tips for making a sensational presentation! |
| data science powerpoint template: Get to the Point! Joel Schwartzberg, 2017-10-16 In this indispensable guide for anyone who must communicate in speech or writing, Schwartzberg shows that most of us fail to convince because we don't have a point-a concrete contention that we can argue, defend, illustrate, and prove. He lays out, step-by-step, how to develop one. In Joel's Schwartzberg's ten-plus years as a strategic communications trainer, the biggest obstacle he's come across-one that connects directly to nervousness, stammering, rambling, and epic fail-is that most speakers and writers don't have a point. They typically have just a title, a theme, a topic, an idea, an assertion, a catchphrase, or even something much less. A point is something more. It's a contention you can propose, argue, defend, illustrate, and prove. A point offers a position of potential value. Global warming is real is not a point. Scientific evidence shows that global warming is a real, human-generated problem that will have a devastating environmental and financial impact is a point. When we have a point, our influence snaps into place. We communicate belief, conviction, and urgency. This book shows you how to identify your point, leverage it, stick to it, and sell it and how to train others to identify and successfully make their own points. |
| data science powerpoint template: R Markdown Yihui Xie, J.J. Allaire, Garrett Grolemund, 2018-07-27 R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse. |
| data science powerpoint template: Drawdown Paul Hawken, 2017-04-18 • New York Times bestseller • The 100 most substantive solutions to reverse global warming, based on meticulous research by leading scientists and policymakers around the world “At this point in time, the Drawdown book is exactly what is needed; a credible, conservative solution-by-solution narrative that we can do it. Reading it is an effective inoculation against the widespread perception of doom that humanity cannot and will not solve the climate crisis. Reported by-effects include increased determination and a sense of grounded hope.” —Per Espen Stoknes, Author, What We Think About When We Try Not To Think About Global Warming “There’s been no real way for ordinary people to get an understanding of what they can do and what impact it can have. There remains no single, comprehensive, reliable compendium of carbon-reduction solutions across sectors. At least until now. . . . The public is hungry for this kind of practical wisdom.” —David Roberts, Vox “This is the ideal environmental sciences textbook—only it is too interesting and inspiring to be called a textbook.” —Peter Kareiva, Director of the Institute of the Environment and Sustainability, UCLA In the face of widespread fear and apathy, an international coalition of researchers, professionals, and scientists have come together to offer a set of realistic and bold solutions to climate change. One hundred techniques and practices are described here—some are well known; some you may have never heard of. They range from clean energy to educating girls in lower-income countries to land use practices that pull carbon out of the air. The solutions exist, are economically viable, and communities throughout the world are currently enacting them with skill and determination. If deployed collectively on a global scale over the next thirty years, they represent a credible path forward, not just to slow the earth’s warming but to reach drawdown, that point in time when greenhouse gases in the atmosphere peak and begin to decline. These measures promise cascading benefits to human health, security, prosperity, and well-being—giving us every reason to see this planetary crisis as an opportunity to create a just and livable world. |
| data science powerpoint template: Dashboard Computer Science 06 Pooja Sachdeva, Comprises of 8 books for grade 1 to 8 |
| data science powerpoint template: Scholar's Invitation To Computer Science 9 Ashok Arora, |
| data science powerpoint template: What Is a Scientist? Barbara Lehn, 2011-08-01 Simple text and full-color photographs depict children engaged in various activities that make up the scientific process: asking questions, noticing details, drawing what they see, taking notes, measuring, performing experiments, and more. |
| data science powerpoint template: Practical Data Science with Python Nathan George, 2021-09-30 Learn to effectively manage data and execute data science projects from start to finish using Python Key FeaturesUnderstand and utilize data science tools in Python, such as specialized machine learning algorithms and statistical modelingBuild a strong data science foundation with the best data science tools available in PythonAdd value to yourself, your organization, and society by extracting actionable insights from raw dataBook Description Practical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science. The book starts with an overview of basic Python skills and then introduces foundational data science techniques, followed by a thorough explanation of the Python code needed to execute the techniques. You'll understand the code by working through the examples. The code has been broken down into small chunks (a few lines or a function at a time) to enable thorough discussion. As you progress, you will learn how to perform data analysis while exploring the functionalities of key data science Python packages, including pandas, SciPy, and scikit-learn. Finally, the book covers ethics and privacy concerns in data science and suggests resources for improving data science skills, as well as ways to stay up to date on new data science developments. By the end of the book, you should be able to comfortably use Python for basic data science projects and should have the skills to execute the data science process on any data source. What you will learnUse Python data science packages effectivelyClean and prepare data for data science work, including feature engineering and feature selectionData modeling, including classic statistical models (such as t-tests), and essential machine learning algorithms, such as random forests and boosted modelsEvaluate model performanceCompare and understand different machine learning methodsInteract with Excel spreadsheets through PythonCreate automated data science reports through PythonGet to grips with text analytics techniquesWho this book is for The book is intended for beginners, including students starting or about to start a data science, analytics, or related program (e.g. Bachelor’s, Master’s, bootcamp, online courses), recent college graduates who want to learn new skills to set them apart in the job market, professionals who want to learn hands-on data science techniques in Python, and those who want to shift their career to data science. The book requires basic familiarity with Python. A getting started with Python section has been included to get complete novices up to speed. |
| data science powerpoint template: The Fourth Paradigm Anthony J. G. Hey, 2009 Foreword. A transformed scientific method. Earth and environment. Health and wellbeing. Scientific infrastructure. Scholarly communication. |
| data science powerpoint template: Beyond Bullet Points Cliff Atkinson, 2018-03-15 Beyond Bullet Points, Fourth Edition “Throw away those room-emptying, left-brain slides–and use Atkinson’s book to turn your PowerPoint presentation into an epic.” –Daniel H. Pink, author of Drive and A Whole New Mind Think beyond bullet points–and amplify the impact of your message! Now in its fourth edition, this popular classic illuminates an innovative, step-by-step methodology designed to unlock the amazing visual story waiting to be released from your message. Communications expert Cliff Atkinson shows how to apply classic storytelling tenets and practical, research-based guidelines as you work with Microsoft PowerPoint–for memorable, meaningful, and persuasive visual stories. Change your approach–and transform your results! Find your story thread Create an emotional connection to increase your impact. Cut through the clutter Distill your message and get right to the point. Bring your story to life Storyboard your ideas, find your natural voice, and deliver a compelling presentation! |
| data science powerpoint template: PowerPoint: Your Co-Facilitator Brian Washburn, 2014-09-10 Whether you’re a seasoned training professional or an occasional presenter, you can make your presentation a true learning tool by implementing these effective strategies. In “PowerPoint: Your Co-Facilitator,” Brian Washburn shows you how to create great presentations using any presentation software. This issue of TD at Work includes: • strategies for developing presentations • guidance on using adult learning theory as a basis for design • tips for focusing slides and using dynamic graphics • a storyboard template • a checklist for use throughout the presentation development process. |
| data science powerpoint template: Suggestions to Medical Authors and A.M.A. Style Book American Medical Association, 1919 |
| data science powerpoint template: R Bioinformatics Cookbook Dan MacLean, 2023-10-31 Discover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystem Key Features Apply modern R packages to process biological data using real-world examples Represent biological data with advanced visualizations and workflows suitable for research and publications Solve real-world bioinformatics problems such as transcriptomics, genomics, and phylogenetics Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe updated second edition of R Bioinformatics Cookbook takes a recipe-based approach to show you how to conduct practical research and analysis in computational biology with R. You’ll learn how to create a useful and modular R working environment, along with loading, cleaning, and analyzing data using the most up-to-date Bioconductor, ggplot2, and tidyverse tools. This book will walk you through the Bioconductor tools necessary for you to understand and carry out protocols in RNA-seq and ChIP-seq, phylogenetics, genomics, gene search, gene annotation, statistical analysis, and sequence analysis. As you advance, you'll find out how to use Quarto to create data-rich reports, presentations, and websites, as well as get a clear understanding of how machine learning techniques can be applied in the bioinformatics domain. The concluding chapters will help you develop proficiency in key skills, such as gene annotation analysis and functional programming in purrr and base R. Finally, you'll discover how to use the latest AI tools, including ChatGPT, to generate, edit, and understand R code and draft workflows for complex analyses. By the end of this book, you'll have gained a solid understanding of the skills and techniques needed to become a bioinformatics specialist and efficiently work with large and complex bioinformatics datasets.What you will learn Set up a working environment for bioinformatics analysis with R Import, clean, and organize bioinformatics data using tidyr Create publication-quality plots, reports, and presentations using ggplot2 and Quarto Analyze RNA-seq, ChIP-seq, genomics, and next-generation genetics with Bioconductor Search for genes and proteins by performing phylogenetics and gene annotation Apply ML techniques to bioinformatics data using mlr3 Streamline programmatic work using iterators and functional tools in the base R and purrr packages Use ChatGPT to create, annotate, and debug code and workflows Who this book is for This book is for bioinformaticians, data analysts, researchers, and R developers who want to address intermediate-to-advanced biological and bioinformatics problems by learning via a recipe-based approach. Working knowledge of the R programming language and basic knowledge of bioinformatics are prerequisites. |
| data science powerpoint template: Presentation Zen Design Garr Reynolds, 2009-12-18 In his internationally acclaimed, best-selling book Presentation Zen: Simple Ideas on Presentation Design and Delivery, presentation master Garr Reynolds gave readers the framework for planning, putting together, and delivering successful presentations. Now, he takes us further into the design realm and shows how we can apply time-honored design principles to presentation layouts. Throughout Presentation Zen Design, Garr shares his lessons on designing effective presentations that contain text, graphs, color, images, and video. After establishing guidelines for each of the various elements, he explains how to achieve an overall harmony and balance using the tenets of Zen simplicity. Not only will you discover how to design your slides for more professional-looking presentations, you’ll learn to communicate more clearly and will accomplish the goal of making a stronger, more lasting connection with your audience. |
| data science powerpoint template: A Trainer’s Guide to PowerPoint Mike Parkinson, 2018-10-02 Learn the Secrets Needed to Master PowerPoint for Training As a successful facilitator, you know the importance of the resources in your professional toolkit. How you engage your audience and improve learning can be affected by how well you use them. But mastery of PowerPoint evades many. Feedback on presentations can range from “What was the point?” to “That changed my life.” Most, though, fall closer to the former. If you are looking for a guide to the PowerPoint practices that will push your presentations into the latter category, look no further. A Trainer's Guide to PowerPoint: Best Practices for Master Presenters is Mike Parkinson's master class on the art of PowerPoint. While Parkinson wants you to understand how amazing a tool PowerPoint is, he's the first to tell you that there is no magic button to make awesome slides. There are, however, proven processes and tools that deliver successful PowerPoint content each and every time you use them. In this book he shares them, detailing his award-winning PowerPoint process and guiding you through three phases of presentation development—discover, design, and deliver. What's more, Parkinson is a Microsoft PowerPoint MVP—most valuable professional—an honorific bestowed by Microsoft on those with “very deep knowledge of Microsoft products and services.” He shares not only his tips and best practices for presentation success, but also those from several of his fellow MVPs. Parkinson invites you to master PowerPoint as a tool—just like a paintbrush and paint—and to realize that the tool doesn't make the art, you do. |
| data science powerpoint template: D-Day Invasion iMinds, 2014-05-14 The story behind D-Day begins in 1939 when Nazi Germany, led by Adolf Hitler, attacked Poland and ignited World War Two. The following year, the Germans occupied France and Western Europe and launched a vicious air war against Britain. In 1941, they invaded the Soviet Union. Seemingly unstoppable, the Nazis now held virtually all of Europe. They imposed a ruthless system of control and unleashed the horror of the Holocaust. However, by 1943, the tide had begun to turn in favor of the Allies, the forces opposed to Germany. In the east, despite huge losses, the Soviets began to force the Germans back. |
| data science powerpoint template: Keeping Up with the Quants Thomas H. Davenport, Jinho Kim, 2013-05-21 Why Everyone Needs Analytical Skills Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up)—your world is awash with data. As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This book promises to become your “quantitative literacy guide—helping you develop the analytical skills you need right now in order to summarize data, find the meaning in it, and extract its value. In Keeping Up with the Quants, authors, professors, and analytics experts Thomas Davenport and Jinho Kim offer practical tools to improve your understanding of data analytics and enhance your thinking and decision making. You’ll gain crucial skills, including: How to formulate a hypothesis How to gather and analyze relevant data How to interpret and communicate analytical results How to develop habits of quantitative thinking How to deal effectively with the “quants” in your organization Big data and the analytics based on it promise to change virtually every industry and business function over the next decade. If you don’t have a business degree or if you aren’t comfortable with statistics and quantitative methods, this book is for you. Keeping Up with the Quants will give you the skills you need to master this new challenge—and gain a significant competitive edge. |
| data science powerpoint template: Understanding by Design Grant P. Wiggins, Jay McTighe, 2005 What is understanding and how does it differ from knowledge? How can we determine the big ideas worth understanding? Why is understanding an important teaching goal, and how do we know when students have attained it? How can we create a rigorous and engaging curriculum that focuses on understanding and leads to improved student performance in today's high-stakes, standards-based environment? Authors Grant Wiggins and Jay McTighe answer these and many other questions in this second edition of Understanding by Design. Drawing on feedback from thousands of educators around the world who have used the UbD framework since its introduction in 1998, the authors have greatly revised and expanded their original work to guide educators across the K-16 spectrum in the design of curriculum, assessment, and instruction. With an improved UbD Template at its core, the book explains the rationale of backward design and explores in greater depth the meaning of such key ideas as essential questions and transfer tasks. Readers will learn why the familiar coverage- and activity-based approaches to curriculum design fall short, and how a focus on the six facets of understanding can enrich student learning. With an expanded array of practical strategies, tools, and examples from all subject areas, the book demonstrates how the research-based principles of Understanding by Design apply to district frameworks as well as to individual units of curriculum. Combining provocative ideas, thoughtful analysis, and tested approaches, this new edition of Understanding by Design offers teacher-designers a clear path to the creation of curriculum that ensures better learning and a more stimulating experience for students and teachers alike. |
| data science powerpoint template: Designing Science Presentations Matt Carter, 2020-11-28 Designing Science Presentations: A Visual Guide to Figures, Papers, Slides, Posters, and More, Second Edition, guides scientists of any discipline in the design of compelling science communication. Most scientists never receive formal training in the design, delivery and evaluation of scientific communication, yet these skills are essential for publishing in high-quality journals, soliciting funding, attracting lab personnel, and advancing a career. This clear, readable volume fills that gap, providing visually intensive guidance at every step—from the construction of original figures to the presentation and delivery of those figures in papers, slideshows, posters and websites. The book provides pragmatic advice on the preparation and delivery of exceptional scientific presentations and demonstrates hundreds of visually striking presentation techniques. - Features clear headings for each section, indicating its message with graphic illustrations - Provides clear and concise explanations of design principles traditionally taught in design or visualization courses - Includes examples of high-quality figures, page layouts, slides, posters and webpages to aid readers in creating their own presentations - Includes numerous before and after examples to illustrate the contrast between poor and outstanding presentations |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a Transnationa…
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and …
Belmont Forum Adopts Open Data Principles for Environmental Chan…
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes …
