Data Analytics For Absolute Beginners A Deconstructed Guide To Data Literacy

Download Data Analytics For Absolute Beginners A Deconstructed Guide To Data Literacy full books in PDF, epub, and Kindle. Read online Data Analytics For Absolute Beginners A Deconstructed Guide To Data Literacy ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Data Analytics for Absolute Beginners: a Deconstructed Guide to Data Literacy

Author : Oliver Theobald
Publisher :
ISBN 13 : 9781081762469
Total Pages : 88 pages
Book Rating : 4.7/5 (624 download)

DOWNLOAD NOW!

Book Synopsis Data Analytics for Absolute Beginners: a Deconstructed Guide to Data Literacy by : Oliver Theobald

Download or read book Data Analytics for Absolute Beginners: a Deconstructed Guide to Data Literacy written by Oliver Theobald and published by . This book was released on 2019-07-21 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding-treated in this book as data literacy-resides in knowing what lies behind the data. Everything from the data's source to the specific choice of input variables, algorithmic transformations, and visual representation shape the accuracy, relevance, and value of the data and mark its journey from raw data to business insight. It's also important to grasp the terminology and basic concepts of data analytics as much as it is to have the financial literacy to be successful as a decisionmaker in the business world. In this book, we make sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages to set you on your path. Topics covered in this book: Data Mining Big Data Machine Learning Alternative Data Data Management Web Scraping Regression Analysis Clustering Analysis Association Analysis Data Visualization Business Intelligence

Analytics at Work

Author : Thomas H. Davenport
Publisher : Harvard Business Press
ISBN 13 : 1422177696
Total Pages : 231 pages
Book Rating : 4.4/5 (221 download)

DOWNLOAD NOW!

Book Synopsis Analytics at Work by : Thomas H. Davenport

Download or read book Analytics at Work written by Thomas H. Davenport and published by Harvard Business Press. This book was released on 2010 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a follow-up to the successful Competing on Analytics, authors Tom Davenport, Jeanne Harris, and Robert Morison provide practical frameworks and tools for all companies that want to use analytics as a basis for more effective and more profitable decision making. Regardless of your company's strategy, and whether or not analytics are your company's primary source of competitive differentiation, this book is designed to help you assess your organization's analytical capabilities, provide the tools to build these capabilities, and put analytics to work. The book helps you answer these pressing questions: What assets do I need in place in my organization in order to use analytics to run my business? Once I have these assets, how do I deploy them to get the most from an analytic approach? How do I get an analytic initiative off the ground in the first place, and then how do I sustain analytics in my organization over time? Packed with tools, frameworks, and all new examples, Analytics at Work makes analytics understandable and accessible and teaches you how to make your company more analytical.

Data Analytics

Author : Mohiuddin Ahmed
Publisher : CRC Press
ISBN 13 : 0429820917
Total Pages : 451 pages
Book Rating : 4.4/5 (298 download)

DOWNLOAD NOW!

Book Synopsis Data Analytics by : Mohiuddin Ahmed

Download or read book Data Analytics written by Mohiuddin Ahmed and published by CRC Press. This book was released on 2018-09-21 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

Getting Started with Data Science

Author : Murtaza Haider
Publisher : IBM Press
ISBN 13 : 0133991237
Total Pages : 942 pages
Book Rating : 4.1/5 (339 download)

DOWNLOAD NOW!

Book Synopsis Getting Started with Data Science by : Murtaza Haider

Download or read book Getting Started with Data Science written by Murtaza Haider and published by IBM Press. This book was released on 2015-12-14 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon.

Differential Cryptanalysis of the Data Encryption Standard

Author : Eli Biham
Publisher : Springer Science & Business Media
ISBN 13 : 1461393140
Total Pages : 192 pages
Book Rating : 4.4/5 (613 download)

DOWNLOAD NOW!

Book Synopsis Differential Cryptanalysis of the Data Encryption Standard by : Eli Biham

Download or read book Differential Cryptanalysis of the Data Encryption Standard written by Eli Biham and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: DES, the Data Encryption Standard, is the best known and most widely used civilian cryptosystem. It was developed by IBM and adopted as a US national standard in the mid 1970`s, and had resisted all attacks in the last 15 years. This book presents the first successful attack which can break the full 16 round DES faster than via exhaustive search. It describes in full detail, the novel technique of Differential Cryptanalysis, and demonstrates its applicability to a wide variety of cryptosystems and hash functions, including FEAL, Khafre, REDOC-II, LOKI, Lucifer, Snefru, N-Hash, and many modified versions of DES. The methodology used offers valuable insights to anyone interested in data security and cryptography, and points out the intricacies of developing, evaluating, testing, and implementing such schemes. This book was written by two of the field`s leading researchers, and describes state-of-the-art research in a clear and completely contained manner.

Numsense! Data Science for the Layman

Author : Annalyn Ng
Publisher : Annalyn Ng & Kenneth Soo
ISBN 13 : 9789811110689
Total Pages : pages
Book Rating : 4.1/5 (16 download)

DOWNLOAD NOW!

Book Synopsis Numsense! Data Science for the Layman by : Annalyn Ng

Download or read book Numsense! Data Science for the Layman written by Annalyn Ng and published by Annalyn Ng & Kenneth Soo. This book was released on 2017-03-24 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Used in Stanford's CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

Data Science for Business

Author : Foster Provost
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144937428X
Total Pages : 506 pages
Book Rating : 4.4/5 (493 download)

DOWNLOAD NOW!

Book Synopsis Data Science for Business by : Foster Provost

Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Statistics 101

Author : David Borman
Publisher : Simon and Schuster
ISBN 13 : 1507208189
Total Pages : 240 pages
Book Rating : 4.5/5 (72 download)

DOWNLOAD NOW!

Book Synopsis Statistics 101 by : David Borman

Download or read book Statistics 101 written by David Borman and published by Simon and Schuster. This book was released on 2018-12-18 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you’ll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.

Data Analytics for Absolute Beginners

Author : O. Theobald
Publisher :
ISBN 13 : 9781521159453
Total Pages : 109 pages
Book Rating : 4.1/5 (594 download)

DOWNLOAD NOW!

Book Synopsis Data Analytics for Absolute Beginners by : O. Theobald

Download or read book Data Analytics for Absolute Beginners written by O. Theobald and published by . This book was released on 2017-04-30 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Start here if you are: A marketing professional, financial analyst, politician, CEO, professional coach, student or a decision maker in an organization. This book is the start of the road to becoming a data scientist or data literate professional. In today's modern world it's vital t to understand data analytics. This includes the various processes, resources, advantages and limitations of data analytics. It's important that you can grasp the terminology and basic concepts of data analytics just as much as you need to understand basic accounting and financial literacy to be a successful decision maker in the business world. This book is ideal for anyone who is interested in making sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages. Topics covered: Regression AnalysisData MiningMachine Learning Data ReductionClusteringAnomaly DetectionText MiningAssociation AnalysisData Visualization

Data Science

Author : John D. Kelleher
Publisher : MIT Press
ISBN 13 : 0262535432
Total Pages : 282 pages
Book Rating : 4.2/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Data Science by : John D. Kelleher

Download or read book Data Science written by John D. Kelleher and published by MIT Press. This book was released on 2018-04-13 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

Data Points

Author : Nathan Yau
Publisher : John Wiley & Sons
ISBN 13 : 1118654935
Total Pages : 8 pages
Book Rating : 4.1/5 (186 download)

DOWNLOAD NOW!

Book Synopsis Data Points by : Nathan Yau

Download or read book Data Points written by Nathan Yau and published by John Wiley & Sons. This book was released on 2013-03-25 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something.

Big Data For Dummies

Author : Judith S. Hurwitz
Publisher : John Wiley & Sons
ISBN 13 : 1118644174
Total Pages : 336 pages
Book Rating : 4.1/5 (186 download)

DOWNLOAD NOW!

Book Synopsis Big Data For Dummies by : Judith S. Hurwitz

Download or read book Big Data For Dummies written by Judith S. Hurwitz and published by John Wiley & Sons. This book was released on 2013-04-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

Predictive Analytics For Dummies

Author : Anasse Bari
Publisher : John Wiley & Sons
ISBN 13 : 1118729412
Total Pages : 371 pages
Book Rating : 4.1/5 (187 download)

DOWNLOAD NOW!

Book Synopsis Predictive Analytics For Dummies by : Anasse Bari

Download or read book Predictive Analytics For Dummies written by Anasse Bari and published by John Wiley & Sons. This book was released on 2014-03-06 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions. Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more. Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.

Becoming a Data Head

Author : Alex J. Gutman
Publisher : John Wiley & Sons
ISBN 13 : 1119741718
Total Pages : 235 pages
Book Rating : 4.1/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Becoming a Data Head by : Alex J. Gutman

Download or read book Becoming a Data Head written by Alex J. Gutman and published by John Wiley & Sons. This book was released on 2021-04-13 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful." Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage You've heard the hype around data—now get the facts. In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it. You'll learn how to: Think statistically and understand the role variation plays in your life and decision making Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace Understand what's really going on with machine learning, text analytics, deep learning, and artificial intelligence Avoid common pitfalls when working with and interpreting data Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

Absolute Beginner's Guide to Building Robots

Author : Gareth Branwyn
Publisher : Que Publishing
ISBN 13 : 0789745488
Total Pages : 620 pages
Book Rating : 4.7/5 (897 download)

DOWNLOAD NOW!

Book Synopsis Absolute Beginner's Guide to Building Robots by : Gareth Branwyn

Download or read book Absolute Beginner's Guide to Building Robots written by Gareth Branwyn and published by Que Publishing. This book was released on 2003-09-19 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. A real-world business book for the explosion of eBay entrepreneurs! Absolute Beginner's Guide to Launching an eBay Business guides you step-by-step through the process of setting up an eBay business, and offers real-world advice on how to run that business on a day-to-day basis and maximize financial success. This book covers determining what kind of business to run, writing an action-oriented business plan, establishing an effective accounting system, setting up a home office, obtaining starting inventory, arranging initial funding, establishing an eBay presence, and arranging for automated post-auction management.

Naked Statistics: Stripping the Dread from the Data

Author : Charles Wheelan
Publisher : W. W. Norton & Company
ISBN 13 : 0393089827
Total Pages : 307 pages
Book Rating : 4.3/5 (93 download)

DOWNLOAD NOW!

Book Synopsis Naked Statistics: Stripping the Dread from the Data by : Charles Wheelan

Download or read book Naked Statistics: Stripping the Dread from the Data written by Charles Wheelan and published by W. W. Norton & Company. This book was released on 2013-01-07 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

Storytelling with Data

Author : Cole Nussbaumer Knaflic
Publisher : John Wiley & Sons
ISBN 13 : 1119621496
Total Pages : 454 pages
Book Rating : 4.1/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Storytelling with Data by : Cole Nussbaumer Knaflic

Download or read book Storytelling with Data written by Cole Nussbaumer Knaflic and published by John Wiley & Sons. This book was released on 2019-10-22 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller. Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: ● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation ● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions ● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!