Alan Anderson
Statistics for Big Data For Dummies
Ebook (EPUB Format)
Learn to: Collect, clean, and interpret data Effectively communicate data analysis Make good predictions 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. Solving the big mystery-find out what big data is, characteristics that define it, how it's used, and what it makes possible How to ha…
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Beschreibung
Learn to: Collect, clean, and interpret data Effectively communicate data analysis Make good predictions 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. Solving the big mystery-find out what big data is, characteristics that define it, how it's used, and what it makes possible How to handle it - explore statistical techniques used with big data, including probability distributions, regression analysis, time series analysis, and forecasting techniques Getting graphical - learn how big data can be analyzed with graphical techniques and how to identify valid, useful, and understandable patterns in data A variable approach - examine key univariate and multivariate statistical techniques for analyzing data Thinking ahead - discover techniques for forecasting the future values of a dataset There's a tool for that - learn about the best software packages and programming tools for analyzing statistical data Open the book and find: Ways to extract previously unknown information from a database Tips for data collection and cleaning Techniques for analyzing time series data How to check data for missing information What to do with outliers in a dataset Some surprising uses for big data An overview of modeling techniques
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Produktdetails
Weitere Autoren: Semmelroth, David (Zus. mit)
- ISBN: 978-1-118-94002-0
- EAN: 9781118940020
- Produktnummer: 18827831
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Seitenangabe: 384 S.
- Plattform: EPUB
- Masse: 6'504 KB
Über den Autor
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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