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Checkout the complete overview of the book Statistics for Big Data For Dummies 1st Edition PDF:
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.
Features of Statistics for Big Data For Dummies 1st Edition PDF
Here’s a quick overview of the essential features of this book:
- 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
Table of Contents
Below is the full table of contents offered inside Statistics for Big Data For Dummies 1st Edition PDF:
Part I: Introducing Big Data Statistics
Chapter 1: What Is Big Data and What Do You Do with It?
Chapter 2: Characteristics of Big Data: The Three Vs
Chapter 3: Using Big Data: The Hot Applications
Chapter 4: Understanding Probabilities
Chapter 5: Basic Statistical Ideas
Part II: Preparing and Cleaning Data
Chapter 6: Dirty Work: Preparing Your Data for Analysis
Chapter 7: Figuring the Format: Important Computer File Formats
Chapter 8: Checking Assumptions: Testing for Normality
Chapter 9: Dealing with Missing or Incomplete Data
Chapter 10: Sending Out a Posse: Searching for Outliers
Part III: Exploratory Data Analysis (EDA)
Chapter 11: An Overview of Exploratory Data Analysis (EDA)
Chapter 12: A Plot to Get Graphical: Graphical Techniques
Chapter 13: You’re the Only Variable for Me: Univariate Statistical Techniques
Chapter 14: To All the Variables We’ve Encountered: Multivariate Statistical Techniques
Chapter 15: Regression Analysis
Chapter 16: When You’ve Got the Time: Time Series Analysis
Part IV: Big Data Applications
Chapter 17: Using Your Crystal Ball: Forecasting with Big Data
Chapter 18: Crunching Numbers: Performing Statistical Analysis on Your Computer
Chapter 19: Seeking Free Sources of Financial Data
Part V: The Part of Tens
Chapter 20: Ten (or So) Best Practices in Data Preparation
Chapter 21: Ten (or So) Questions Answered by Exploratory Data Analysis (EDA)
Statistics for Big Data For Dummies 1st Edition PDF Free Download
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