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Statistics for Big Data For Dummies

Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Statistics for Big Data For Dummies by Alan Anderson simplifies the complex world of big data analytics. It introduces fundamental statistical concepts and demonstrates how these principles can be applied to manage and interpret large data sets. The book offers practical advice, enabling readers to harness statistical methods effectively for data analysis challenges in the real world.
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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you're curious about understanding and working with big data, especially if you're new to the subject. It provides accessible insights and practical approaches to statistics in a way that's engaging and easy to grasp, making complex concepts feel approachable and relevant. Ideal for anyone looking to harness the power of data analysis in today's data-driven world.

Book Hero thinking about your next read

Does the subject of data analysis make you dizzy? This book features 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. It helps you to identify valid, useful, and understandable patterns in data.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description
The fast and easy way to make sense of statistics for big data

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 organising 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 miningβ€”without losing your cool.

  • Helps you to identify valid, useful, and understandable patterns in data
  • Provides guidance on extracting previously unknown information from large databases
  • Shows you how to discover patterns available in big data
  • Gives you access to the latest tools and techniques for working in big data

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.

Book Details

INFORMATION

ISBN: 9781118940013

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 08 September 2015

Country: United States

Imprint: For Dummies

Contributors:

  • With David Semmelroth

Audience: Professional and scholarly

DIMENSIONS

Spine width: 25.0mm

Width: 188.0mm

Height: 234.0mm

Weight: 522g

Pages: 384

About the Author

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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