Statistics for Big Data For Dummies

Description

The fast and easy way to make sense of statistics for bigdata Does the subject of data analysis make you dizzy? You've come tothe right place! Statistics For Big Data For Dummies breaksthis often-overwhelming subject down into easily digestible parts,offering new and aspiring data analysts the foundation they need tobe successful in the field. Inside, you'll find an easy-to-followintroduction to exploratory data analysis, the lowdown oncollecting, cleaning, and organizing data, everything you need toknow about interpreting data using common software and programminglanguages, plain-English explanations of how to make sense of datain the real world, and much more. Data has never been easier to come by, and the tools studentsand professionals need to enter the world of big data are based onapplied statistics. While the word "statistics" alone can evokefeelings of anxiety in even the most confident student orprofessional, it doesn't have to. Written in the familiar andfriendly tone that has defined the For Dummies brand for more thantwenty years, Statistics For Big Data For Dummies takes theintimidation out of the subject, offering clear explanations andtons of step-by-step instruction to help you make sense of datamining—without losing your cool. Helps you to identify valid, useful, and understandablepatterns in data Provides guidance on extracting previously unknown informationfrom large databases Shows you how to discover patterns available in big data Gives you access to the latest tools and techniques for workingin big data If you're a student enrolled in a related Applied Statisticscourse or a professional looking to expand your skillset,Statistics For Big Data For Dummies gives you access toeverything you need to succeed.

Get the book

Amazon.com

Search the book

eBay.com

Search the book

Other editions

• 

  Statistics for Big Data For Dummies

  • 2015-08-31
  • 384 pages
  • Paperback
  • John Wiley & Sons

Similar books

• 

  Big Data For Dummies

  By Judith S. Hurwitz, Alan Nugent, Fern Halper

  Implement discover how to implement your big data solution with an eye to operationalizing and protecting your data What it means see the importance of big data to your organization and how it's used to solve problems Open the book and find ...

• 

  Data Science For Dummies

  By Lillian Pierson

  Let this book be your guide. Data Science For Dummies is for working professionals and students interested in transforming an organization's sea of structured, semi-structured, and unstructured data into actionable business insights.

• 

  Predictive Analytics For Dummies

  By Anasse Bari, Mohamed Chaouchi, Tommy Jung

  This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.

• 

  Statistics For Dummies

  By Deborah J. Rumsey

  No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life.

• 

  Big Data for Twenty-First-Century Economic Statistics

  By Ron S. Jarmin, Katharine G. Abraham, Brian C. Moyer

  Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering ...

• 

  Statistical Analysis with R For Dummies

  By Joseph Schmuller

  Leverage R as a powerful statistical tool Test your hypotheses and draw conclusions Use R to give meaning to your data The easy, practical guide to R R is powerful, free software for statistical analysis—full of many tools and functions.

• 

  SPSS Statistics For Dummies

  By Keith McCormick, Jesus Salcedo

  The fun and friendly guide to mastering IBM’s Statistical Package for the Social Sciences Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you ...

• 

  Practical Statistics for Data Scientists: 50 Essential Concepts

  By Peter Bruce, Andrew Bruce

  With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design ...

• 

  Big Data: Potential, Challenges and Statistical Implications

  By Cornelia Hammer, Ms.Diane C Kostroch, Mr.Gabriel Quiros

  Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis.

• 

  Probability For Dummies

  By Deborah J. Rumsey

  Whether you're hitting the books for a probability or statistics course or hitting the tables at a casino, working out probabilities can be problematic. This book helps you even the odds.