Getting Started with Data Science

Making Sense of Data with Analytics

Author: Murtaza Haider

Publisher: IBM Press

ISBN: 9780133991024

Category: Computers

Page: 250

View: 1384

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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.
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The Human Element of Big Data

Issues, Analytics, and Performance

Author: Geetam S. Tomar,Narendra S. Chaudhari,Robin Singh Bhadoria,Ganesh Chandra Deka

Publisher: CRC Press

ISBN: 149875418X

Category: Business & Economics

Page: 351

View: 8740

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The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.
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Author: N.A

Publisher: N.A

ISBN: N.A

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Page: N.A

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Messaging and Queuing Using the MQI

Concepts & Analysis, Design & Development

Author: Burnie Blakeley

Publisher: McGraw-Hill Companies

ISBN: 9780070057302

Category: Computers

Page: 469

View: 9640

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Written by the developers of Message Queue Interface, this book first introduces messaging, then explains how messaging works. It then shows readers how to use it immediately with available products and how to design and program simple messaging application programs. The book also provides an object comparison between mail-messaging and online messaging.
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