Download or read book Don t Argue With The Data Analyst written by Data Nerd Notebooks and published by . This book was released on 2019-11-22 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lined notebook makes a funny data analyst gift for data analysts, data scientists, engineers, programmers and data nerds. 6x9 inches 110 pages Lined White paper Matte-finished cover

Download or read book PowerPivot for the Data Analyst written by Bill Jelen and published by Pearson Education. This book was released on 2010-06-03 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: ANALYZE HUGE AMOUNTS OF BUSINESS DATA FASTER, MORE EASILY, AND MORE ACCURATELY! Use Microsoft’s free PowerPivot add-in for Excel 2010 to analyze immense amounts of data from any source, perform state-of-the-art business analysis far more easily, and make better decisions in less time! Simple, step-by-step instructions walk you through installing PowerPivot, importing data, using PivotTables with PowerPivot, using super-powerful DAX functions and measures, reporting to print or SharePoint, and a whole lot more. Whatever your Excel data analysis experience, this book will help you use PowerPivot to get the right answers, right now—without IT’s help! Import and integrate data from spreadsheets, SQL Server, Access, Oracle, text files, Atom data feeds, and other sources Analyze multiple tables together, without complicated VLOOKUPs Format, sort, and filter data in the PowerPivot window Add calculated columns using new DAX functions Create powerful reports from PowerPivot data—and format them so executives instantly get your point Discover PivotTable tricks that work even better in PowerPivot Control multiple PivotTable elements on one worksheet, with one set of Excel 2010 Slicers Use DAX Measures to quickly perform tasks that were difficult or impossible with Calculated Fields Compare today’s sales to yesterday’s–or to sales from the parallel period last fiscal year. Use Named Sets to prepare asymmetric reports, show actuals for past months and plan for future months.

Download or read book Thematic Analysis written by Virginia Braun and published by SAGE. This book was released on 2021-10-13 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: **Winner of the 2022 British Psychological Society Book Award - Textbook Category** Developed and adapted by the authors of this book, thematic analysis (TA) is one of the most popular qualitative data analytic techniques in psychology and the social and health sciences. Building on the success of Braun & Clarke′s 2006 paper first outlining their approach - which has over 100,000 citations on Google Scholar - this book is the definitive guide to TA, covering: - Contextualisation of TA - Developing themes - Writing TA reports - Reflexive TA It addresses the common questions surrounding TA as well as developments in the field, offering a highly accessible and practical discussion of doing TA situated within a clear understanding of the wider terrain of qualitative research. Virginia Braun is a Professor in the School of Psychology at The University of Auckland, Aotearoa New Zealand. Victoria Clarke is an Associate Professor in Qualitative and Critical Psychology in the Department of Social Sciences at the University of the West of England (UWE), Bristol.

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Download or read book Think Remarkable written by Guy Kawasaki and published by John Wiley & Sons. This book was released on 2024-02-29 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: AN INTERNATIONAL BESTSELLER Make the leap from average to exceptional and start living the remarkable life you were meant to lead Ever wonder what sets people like Steve Wozniak, Stacey Abrams, Mark Rober, and Jane Goodall apart? Why do some people seem to eat, sleep, and breathe “awesome?” In Think Remarkable, tech titan Guy Kawasaki teams up with Madisun Nuismer, producer of the Remarkable People podcast, to share invaluable knowledge from more than 40 years of working with game-changing organizations such as Apple, Canva, Google, Mercedes Benz, and Wikipedia, and delivers insights from a collection of amazing interviews that'll kick you into high gear and get you ready to start showing the world your best, most amazing self. Together the authors show you how to lead a fulfilling life by drawing on insights from working closely with some of the world's most remarkable people. You'll learn: How to find your own inner ass-kicker and unlock potential you never knew you were capable of Cultivate the resilience, grit, and fearlessness needed to overcome obstacles and setbacks Apply the lessons from the world's most innovative companies to your personal growth journey Make the leap from average to exceptional. Think Remarkable is more than a book—it's a way of life. It is the gotta-read-right-now book you can't afford to miss. So, grab a copy today and start making yourself—and the world—a whole lot more remarkable.

Download or read book The Collected Works of John W Tukey written by L.V. Jones and published by CRC Press. This book was released on 1987-05-15 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of eleven articles compiles important papers by Tukey that examine the intriguing problems inherent in the area of multiple comparisons and provide a useful framework for thinking about them. Each volume in the set is indexed and contains a bibliography.

Download or read book Never Quit The Fight written by Ralph Peters and published by Stackpole Books. This book was released on 2006-06-26 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on his global experiences from Africa to Iraq, author Ralph Peters attacks today's crucial issues of our time head-on, with the clear eye and blunt voice that has won him a devoted following: • Is Iraq worth it? What's the truth behind the politics? • Are our defense dollars buying a strong military--or the wrong military? • Are we missing great opportunities elsewhere while hypnotized by the Middle East? • Must we accept that Islam itself is the problem? • Will we face a war with China? What would such a war mean? • Can Washington learn from its mistakes? These are just a few of the controversial issues Peters takes on in a series of body blows to the status quo. Famed as the most original strategist of our time, Ralph Peters builds on the critical and commercial success of previous books, Wars of Blood and Faith (978-0-8117-0274-4) and New Glory (1-59523-011-4), to offer a stunningly fresh vision for our military, our country, and the world.

Download or read book Head First Data Analysis written by Michael Milton and published by "O'Reilly Media, Inc.". This book was released on 2009-07-17 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to: Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

Download or read book The New Art of Managing People written by Tony Alessandra and published by Simon and Schuster. This book was released on 1986-07-17 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fully revised and updated edition of The Art of Managing People, offering the latest wisdom on crucial guidelines and techniques for creating a positive work environment and increasing productivity and profitability. From the award-winning authors of the bestselling management classic comes the revised and updated edition of The New Art of Managing People, featuring eight new chapters on important contemporary business issues such as ethics, diversity, managing conflict, and creating high-performing teams. When a manager establishes a friendly yet productive working atmosphere, the benefits to the entire organization are substantial. Here, Dr. Phillip L. Hunsaker and Tony Alessandra clearly provide practical and accessible strategies, guidelines, and techniques for managing the best team you could possible have.

Download or read book Fighting Churn with Data written by Carl S. Gold and published by Manning Publications. This book was released on 2020-12-22 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: The beating heart of any product or service business is returning clients. Don't let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you'll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. Summary The beating heart of any product or service business is returning clients. Don't let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you'll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. This hands-on guide is packed with techniques for converting raw data into measurable metrics, testing hypotheses, and presenting findings that are easily understandable to non-technical decision makers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Keeping customers active and engaged is essential for any business that relies on recurring revenue and repeat sales. Customer turnover—or “churn”—is costly, frustrating, and preventable. By applying the techniques in this book, you can identify the warning signs of churn and learn to catch customers before they leave. About the book Fighting Churn with Data teaches developers and data scientists proven techniques for stopping churn before it happens. Packed with real-world use cases and examples, this book teaches you to convert raw data into measurable behavior metrics, calculate customer lifetime value, and improve churn forecasting with demographic data. By following Zuora Chief Data Scientist Carl Gold’s methods, you’ll reap the benefits of high customer retention. What's inside Calculating churn metrics Identifying user behavior that predicts churn Using churn reduction tactics with customer segmentation Applying churn analysis techniques to other business areas Using AI for accurate churn forecasting About the reader For readers with basic data analysis skills, including Python and SQL. About the author Carl Gold (PhD) is the Chief Data Scientist at Zuora, Inc., the industry-leading subscription management platform. Table of Contents: PART 1 - BUILDING YOUR ARSENAL 1 The world of churn 2 Measuring churn 3 Measuring customers 4 Observing renewal and churn PART 2 - WAGING THE WAR 5 Understanding churn and behavior with metrics 6 Relationships between customer behaviors 7 Segmenting customers with advanced metrics PART 3 - SPECIAL WEAPONS AND TACTICS 8 Forecasting churn 9 Forecast accuracy and machine learning 10 Churn demographics and firmographics 11 Leading the fight against churn

Download or read book Think Again written by Walter Sinnott-Armstrong and published by Oxford University Press. This book was released on 2018 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our personal and political worlds are rife with arguments and disagreements, some of them petty and vitriolic. The inability to compromise and understand the opposition is epidemic today, from countries refusing to negotiate, to politicians pandering to their base. Social media has produced a virulent world where extreme positions dominate. There is much demonization of the other side, very little progress is made, and the end result is further widening of positions. How did this happen, and what might be done to address it? Walter Sinnott-Armstrong says there is such a thing as a "good" argument: Reasonable arguments can create more mutual understanding and respect, and even if neither party is convinced by the other, compromise is still possible. Think Again shows the importance of good arguments and reveals common misunderstandings. Rather than a means to persuade other people or beat them in an intellectual competition, Sinnott-Armstrong sees arguments as an essential tool for constructive interaction with others. After showing how the failure of good arguments has led us to society's current woes, he shows readers what makes a good argument. In clear, lively, and practical prose, and with plentiful examples from politics, popular culture, and everyday life, Sinnott-Armstrong explains what defines an argument, identifies the components of good arguments as well as fallacies to avoid, and demonstrates what good arguments can accomplish. Armed with these tools, readers will be able to spot bad reasoning and bad arguments, and to advance their own views in a forceful yet logical way. These skills could even help repair our tattered civic culture.

Download or read book Data Science written by Doug Rose and published by Apress. This book was released on 2016-11-17 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build a data science team within your organization rather than hiring from the outside. Teach your team to ask the right questions to gain actionable insights into your business. Most organizations still focus on objectives and deliverables. Instead, a data science team is exploratory. They use the scientific method to ask interesting questions and run small experiments. Your team needs to see if the data illuminate their questions. Then, they have to use critical thinking techniques to justify their insights and reasoning. They should pivot their efforts to keep their insights aligned with business value. Finally, your team needs to deliver these insights as a compelling story. Insight!: How to Build Data Science Teams that Deliver Real Business Value shows that the most important thing you can do now is help your team think about data. Management coach Doug Rose walks you through the process of creating and managing effective data science teams. You will learn how to find the right people inside your organization and equip them with the right mindset. The book has three overarching concepts: You should mine your own company for talent. You can’t change your organization by hiring a few data science superheroes. You should form small, agile-like data teams that focus on delivering valuable insights early and often. You can make real changes to your organization by telling compelling data stories. These stories are the best way to communicate your insights about your customers, challenges, and industry. What Your Will Learn: Create data science teams from existing talent in your organization to cost-efficiently extract maximum business value from your organization’s data Understand key data science terms and concepts Follow practical guidance to create and integrate an effective data science team with key roles and the responsibilities for each team member Utilize the data science life cycle (DSLC) to model essential processes and practices for delivering value Use sprints and storytelling to help your team stay on track and adapt to new knowledge Who This Book Is For Data science project managers and team leaders. The secondary readership is data scientists, DBAs, analysts, senior management, HR managers, and performance specialists.

Download or read book Applied Statistics I written by Rebecca M. Warner and published by SAGE Publications. This book was released on 2020-01-14 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics I: Basic Bivariate Techniques, Third Edition is an introductory statistics text based on chapters from the first half of the original book. The author′s contemporary approach reflects current thinking in the field, with its coverage of the "new statistics" and reproducibility in research. Her in-depth presentation of introductory statistics follows a consistent chapter format, includes some simple hand-calculations along with detailed instructions for SPSS, and helps students understand statistics in the context of real-world research through interesting examples. Datasets are provided on an accompanying website. Bundle and Save Applied Statistics I + Applied Statistics II: Basic Bivariate Techniques, Third Edition Bundle Volume I and II ISBN: 978-1-0718-1337-9 An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I Bundle ISBN: 978-1-0718-1325-6

Download or read book Environmental Data Analysis with MatLab written by William Menke and published by Elsevier. This book was released on 2009-10-13 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental Data Analysis with MatLab is a reference work designed to teach students and researchers the basics of data analysis in the environmental sciences using MatLab, and more specifically how to analyze data sets in carefully chosen, realistic scenarios. Although written in a self-contained way, the text is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial, available at the author's website: http://www.ldeo.columbia.edu/users/menke/edawm/index.htm. This book is organized into 12 chapters. After introducing the reader to the basics of data analysis with MatLab, the discussion turns to the power of linear models; quantifying preconceptions; detecting periodicities; patterns suggested by data; detecting correlations among the data; filling in missing data; and determining whether your results are significant. Homework problems help users follow up upon case studies. This text will appeal to environmental scientists, specialists, researchers, analysts, and undergraduate and graduate students in Environmental Engineering, Environmental Biology and Earth Science courses, who are working to analyze data and communicate results. Well written and outlines a clear learning path for researchers and students Uses real world environmental examples and case studies MatLab software for application in a readily-available software environment Homework problems help user follow up upon case studies with homework that expands them

Download or read book Qualitative Inquiry in Clinical and Educational Settings written by Danica G. Hays and published by Guilford Press. This book was released on 2011-08-01 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly readable text demystifies the qualitative research process—and helps readers conceptualize their own studies—by organizing the different research paradigms and traditions into coherent clusters. Real-world examples and firsthand perspectives illustrate the research process; instructive exercises and activities build on each other so readers can develop their own proposals or reports as they work through the book. Provided are strategies for selecting a research topic, entering and exiting sites, and navigating the complexities of ethical issues and the researcher's role. Readers learn how to use a range of data collection methods—including observational strategies, interviewing, focus groups, e-mail and chat rooms, and arts-based media—and to manage, analyze, and report the resulting data. Useful pedagogical features include: *In-class and field activities to apply qualitative concepts. *Discussion questions, proposal development exercises, and reflexive journal activities. *Exemplary qualitative studies and two sample proposals. *Cautionary notes, or "Wild Cards," about possible research pitfalls. *Tables that summarize concepts and present helpful tips.

Download or read book Selected Topics On Data Analysis In Astronomy written by P Crane and published by World Scientific. This book was released on 1987-04-01 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main topics covered by the book regard the new developments of the methods and computer architectures in the field of Data Analysis in Astronomy and Astrophysics. The materials presented here is comprehensive and of interest to both experts in data analysis and students of an high degree course. The text is derived from lectures given during the tutorial sessions of the workshop on Data Analysis in Astronomy held at the Ettore Majorana Centre in Erice.

Download or read book Practical Data Analysis Using Jupyter Notebook written by Marc Wintjen and published by Packt Publishing Ltd. This book was released on 2020-06-19 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key FeaturesFind out how to use Python code to extract insights from data using real-world examplesWork with structured data and free text sources to answer questions and add value using dataPerform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing dataBook Description Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This book combines these two concepts by sharing proven techniques and hands-on examples so that you can learn how to communicate effectively using data. After introducing you to the basics of data analysis using Jupyter Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to clean, wrangle, analyze, and visualize data to gain useful insights, and you'll discover how to answer questions using data with easy-to-follow steps. Later chapters teach you about storytelling with data using charts, such as histograms and scatter plots. As you advance, you'll understand how to work with unstructured data using natural language processing (NLP) techniques to perform sentiment analysis. All the knowledge you gain will help you discover key patterns and trends in data using real-world examples. In addition to this, you will learn how to handle data of varying complexity to perform efficient data analysis using modern Python libraries. By the end of this book, you'll have gained the practical skills you need to analyze data with confidence. What you will learnUnderstand the importance of data literacy and how to communicate effectively using dataFind out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysisWrangle data and create DataFrames using pandasProduce charts and data visualizations using time-series datasetsDiscover relationships and how to join data together using SQLUse NLP techniques to work with unstructured data to create sentiment analysis modelsDiscover patterns in real-world datasets that provide accurate insightsWho this book is for This book is for aspiring data analysts and data scientists looking for hands-on tutorials and real-world examples to understand data analysis concepts using SQL, Python, and Jupyter Notebook. Anyone looking to evolve their skills to become data-driven personally and professionally will also find this book useful. No prior knowledge of data analysis or programming is required to get started with this book.