Using Data
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Data Action
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Author : Sarah Williams
language : en
Publisher: MIT Press
Release Date : 2022-09-20
Data Action written by Sarah Williams and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-20 with Computers categories.
How to use data as a tool for empowerment rather than oppression. Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.
Data Smart
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Author : John W. Foreman
language : en
Publisher: John Wiley & Sons
Release Date : 2013-10-31
Data Smart written by John W. Foreman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-31 with Business & Economics categories.
Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
Asking Smarter Questions
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Author : Sam Knowles
language : en
Publisher: Taylor & Francis
Release Date : 2022-08-08
Asking Smarter Questions written by Sam Knowles and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-08 with Business & Economics categories.
Insight is the superpower that drives innovation and enables us to understand the world from other peoples’ points of view, be they customers or colleagues, advocates or competitors. This new book from data storyteller Sam Knowles explains how to ask smarter questions – questions that, by design, stimulate more useful answers. This is the shortcut to better productivity, fast-tracked innovation, and organisational success – for businesses, universities, charities, and governments. For too long, the simple act of asking questions has been overlooked as almost too trivial to contemplate. Asking Smarter Questions seeks to champion the art of curiosity by setting out a framework to make every question count. The fundamental building blocks of insight are data and information, joined together in new and often unpredictable ways. The way we surface new data and information and make meaningful connections between data points is by asking smarter questions. By taking this approach, you can make your organisation a less confrontational, more collaborative, and more productive environment in which to work – particularly in the more distributed and remote settings that will characterise the 2020s. Managers, directors, and leaders will find the universal principles, expert interviews, and data-driven recommendations a source of inspiration to share with their teams. Asking Smarter Questions is aimed at professionals in businesses and organisations across all sectors, and will help those working in many functions, including market research, intelligence, insight, analytics, strategy, marketing, communications, planning, product development, and innovation.
Big Data
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Author : Eliot P. Reznor
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-08-22
Big Data written by Eliot P. Reznor and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-22 with categories.
Do you feel you are falling behind on Big Data?... or do you see everyone using it to get ahead of you? Are you tempted to finally see what the hype is all about? Do you feel ignorant, unclear what Big Data is, and why it is the future? Are you terrified of ending up old having wasted years not taking advantage of your data? If you stay in the dark, you'll never take advantage of this opportunity. Is this positive for you? Big Data: A Beginner's Guide To Using Data Science For Business gets you up to speed fast, including an exploration of the history and future of Big Data. This is a book of knowledge and doesn't just tell you to try harder. Life rewards those who take matters into their own hands, and this book is where to start. Big Data is full of real-life examples of how big data impacts people just like you. These examples are backed up countless data expert studies, all which will arm you with a knowledge primed for success with using Big Data immediately. Easy-to-implement small changes and practical takeaways for immediate action. What happens if you ignore Big Data? * Learn the history of Big Data. * Why should you care about becoming an expert in Big Data? * What could you achieve with tips in the right direction * The consequences of ignoring big data in your business How will you learn to compete in this data-driven age? * Identify the keys to mastering big data * Which tools are used to win at this game * Tricks for getting your feet on the ground today * How to develop the competency you are lacking What happens when you don't let life pass you by? * Never wonder "what if" you could have made millions with Big Data! * Wake up every day with high energy and desire * Inspire yourself and others to become experts at Big Data. * Fulfill your destiny and start getting paid for this knowledge. Find out how to let go of your lack of knowledge and take flight towards being a Big Data expert, period. Create the business of your dreams around Big Data. Try Big Data: A Beginner's Guide To Using Data Science For Business today by clicking the BUY NOW button at the top right of this page! P.S. You'll be on your way to mastering Big Data within 24 hours.
Using Data To Improve Higher Education
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Author : Maria Eliophotou Menon
language : en
Publisher: Springer
Release Date : 2014-11-26
Using Data To Improve Higher Education written by Maria Eliophotou Menon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-26 with Education categories.
In recent decades, higher education systems and institutions have been called to respond to an unprecedented number of challenges. Major challenges
Data Smart
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Author : Jordan Goldmeier
language : en
Publisher: John Wiley & Sons
Release Date : 2023-09-22
Data Smart written by Jordan Goldmeier and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-22 with Computers categories.
A straightforward and engaging approach to data science that skips the jargon and focuses on the essentials In the newly revised second edition of Data Smart: Using Data Science to Transform Information into Insight, accomplished data scientist and speaker Jordan Goldmeier delivers an approachable and conversational approach to data science using Microsoft Excel’s easily understood features. The author also walks readers through the fundamentals of statistics, machine learning and powerful artificial intelligence concepts, focusing on how to learn by doing. You’ll also find: Four-color data visualizations that highlight and illustrate the concepts discussed in the book Tutorials explaining complicated data science using just Microsoft Excel How to take what you’ve learned and apply it to everyday problems at work and life A must-read guide to data science for every day, non-technical professionals, Data Smart will earn a place on the bookshelves of students, analysts, data-driven managers, marketers, consultants, business intelligence analysts, demand forecasters, and revenue managers.
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language : en
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written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Practical Data Analysis Using Jupyter Notebook
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Author : Marc Wintjen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-06-19
Practical Data Analysis Using Jupyter Notebook written by Marc Wintjen and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-19 with Computers categories.
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.
Data Literacy
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Author : David Herzog
language : en
Publisher: SAGE Publications
Release Date : 2015-01-29
Data Literacy written by David Herzog and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-29 with Language Arts & Disciplines categories.
A practical, skill-based introduction to data analysis and literacy We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User's Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.
A Beginner S Guide To Using Open Access Data
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Author : Saif Aldeen Saleh AlRyalat
language : en
Publisher: CRC Press
Release Date : 2019-02-12
A Beginner S Guide To Using Open Access Data written by Saif Aldeen Saleh AlRyalat and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-12 with Computers categories.
Open Access Data is emerging as a source for cutting edge scholarship. This concise book provides guidance from generating a research idea to publishing results. Both young researchers and well-established scholars can use this book to upgrade their skills with respect to emerging data sources, analysis, and even post-publishing promotion. At the end of each chapter, a tutorial simulates a real example, allowing readers to apply what they learned about accessing open data, and analyzing this data to reach the results. This book can be of use by established researchers analyzing data, publishing, and actively promoting ongoing and research. Key selling features: Describes the steps, from A-Z, for doing open data research Includes interactive tutorials following each chapter Provides guidelines for readers so that they can use their own accessed open data Reviews recent software and websites promoting and enabling open data research Supplements websites which update recent open data sources
