Does the subject of data analysis make you dizzy? You′ve come to the right place! Statistics For Big Data For Dummies breaks this often–overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you′ll find an easy–to–follow introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages, plain–English explanations of how to make sense of data in the real world, and much more.
Data has never been easier to come by, and the tools students and professionals need to enter the world of big data are based on applied statistics. While the word "statistics" alone can evoke feelings of anxiety in even the most confident student or professional, it doesn′t have to. Written in the familiar and friendly tone that has defined the For Dummies brand for more than twenty years, Statistics For Big Data For Dummies takes the intimidation out of the subject, offering clear explanations and tons of step–by–step instruction to help you make sense of data mining―without losing your cool.
If you′re a student enrolled in a related Applied Statistics course or a professional looking to expand your skillset, Statistics For Big Data For Dummies gives you access to everything you need to succeed.
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Big data making you dizzy? Relax here′s what it′s all about
Big data figures into everything from weather forecasting to political polling. Don′t let it give you a big headache; use this friendly book to learn about it in manageable, bite–size chunks. You′ll get a handle on the statistical methods used when working with big data, applications for it, ways to organize and check data, and a whole lot more.
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Alan Anderson, PhD, is a professor of economics and finance at Fordham University and New York University. He′s a veteran economist, risk manager, and fixed income analyst. David Semmelroth is an experienced data analyst, trainer, and statistics instructor who consults on customer databases and database marketing.
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