Riassunto:
<b>Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy!</b> <br> <br> <i>Harvard Business Review</i> 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. <br> <br> <b>Getting Started with Data Science</b> takes its inspiration from worldwide best-sellers like <i>Freakonomics </i>and Malcolm Gladwell’s <i>Outliers</i>: It teaches through a powerful narrative packed with unforgettable stories. <br> <br>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. <br> <br>You’ll master data science by answering fascinating questions, such as: <br>• Are religious individuals more or less likely to have extramarital affairs? <br>• Do attractive professors get better teaching evaluations? <br>• Does the higher price of cigarettes deter smoking? <br>• What determines housing prices more: lot size or the number of bedrooms? <br>• How do teenagers and older people differ in the way they use social media? <br>• Who is more likely to use online dating services? <br>• Why do some purchase iPhones and others Blackberry devices? <br>• Does the presence of children influence a family’s spending on alcohol? <br> <br>For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how <br>others have approached similar challenges; selecting your data and methods; generating your statistics; <br>organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: <br>transforming data into insights that are clear, accurate, and can be acted upon. <br> <br>
Informazioni sull?autore:
<b>Murtaza Haider</b>, Ph.D., is an Associate Professor at the Ted Rogers School of Management, Ryerson University, and the Director of a consulting firm Regionomics Inc. He is also a visiting research fellow at the Munk School of Global Affairs at the University of Toronto (2014-15). In addition, he is a senior research affiliate with the Canadian Network for Research on Terrorism, Security, and Society, and an adjunct professor of engineering at McGill University. <br> <br>Haider specializes in applying analytics and statistical methods to find solutions for socioeconomic challenges. His research interests include analytics; data science; housing market dynamics; infrastructure, transportation, and urban planning; and human development in North America and South Asia. He is an avid blogger/data journalist and writes weekly for the <i>Dawn </i>newspaper and occasionally for the <i>Huffington Post</i>. <br> <br>Haider holds a Masters in transport engineering and planning and a Ph.D. in Urban Systems Analysis from the University of Toronto. <br> <br>
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