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Data Mining For Dummies 1st Edition, Kindle Edition

by Meta S. Brown (Author) Format: Kindle Edition
3.8 3.8 out of 5 stars 52 ratings
See all formats and editions
Delve into your data for the key to success

Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome.

Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including:

  • Model creation, validity testing, and interpretation
  • Effective communication of findings
  • Available tools, both paid and open-source
  • Data selection, transformation, and evaluation

Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.

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Previous page
  1. ISBN-13
    978-1118893173
  2. Edition
    1st
  3. Sticky notes
    On Kindle Scribe
  4. Publisher
    For Dummies
  5. Publication date
    September 4, 2014
  6. Language
    English
  7. File size
    9468 KB
  8. See all details
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Editorial Reviews

From the Inside Flap

Learn to:

  • Understand key data mining concepts and best practices
  • Create a data model and test its validity
  • Interpret results and communicate your findings
  • Make a business case for investing in data mining

Delve into your data for the key to success

This friendly guide shows you why it doesn’t take a data scientist to reap the benefits of exploring data independently, making informative discoveries, and putting the information to work. Written for those who know more about their business than math, this resource quickly gets you up-to-speed on how data mining can push your company to the top.

  • Learn the laws of data mining — get a grip on the principles of data mining, find out how to make data your informant, and set your data mining goals
  • A day in the life of a data miner — get to know the members of a typical data mining team, leverage your colleagues’ complementary skills and knowledge, and frame your work with a standard industry practice
  • Define and refine — establish a framework for data mining, drill into the CRISP-DM process, and establish good habits
  • Make a career in modeling — discover why modeling is the data miner’s path to knowing the unknown
  • Dig into your data — draw on the knowledge that you and other members of your team have accumulated from experience and training to extract useful information from data

Open the book and find:

  • Common-sense steps for data mining success
  • Guidance on letting your business needs direct your software selection process
  • Ways to unearth data you already have
  • How to conduct experiments—no lab coat required
  • Public sources for data
  • Guidance on buying data and searching for suppliers
  • Plain-English explanations of correlation
  • The most common nonlinear models

From the Back Cover

Learn to:

  • Understand key data mining concepts and best practices
  • Create a data model and test its validity
  • Interpret results and communicate your findings
  • Make a business case for investing in data mining

Delve into your data for the key to success

This friendly guide shows you why it doesn’t take a data scientist to reap the benefits of exploring data independently, making informative discoveries, and putting the information to work. Written for those who know more about their business than math, this resource quickly gets you up-to-speed on how data mining can push your company to the top.

  • Learn the laws of data mining ― get a grip on the principles of data mining, find out how to make data your informant, and set your data mining goals
  • A day in the life of a data miner ― get to know the members of a typical data mining team, leverage your colleagues’ complementary skills and knowledge, and frame your work with a standard industry practice
  • Define and refine ― establish a framework for data mining, drill into the CRISP-DM process, and establish good habits
  • Make a career in modeling ― discover why modeling is the data miner’s path to knowing the unknown
  • Dig into your data ― draw on the knowledge that you and other members of your team have accumulated from experience and training to extract useful information from data

Open the book and find:

  • Common-sense steps for data mining success
  • Guidance on letting your business needs direct your software selection process
  • Ways to unearth data you already have
  • How to conduct experiments―no lab coat required
  • Public sources for data
  • Guidance on buying data and searching for suppliers
  • Plain-English explanations of correlation
  • The most common nonlinear models

Product details

  • ASIN ‏ : ‎ B00NCYZVVO
  • Publisher ‏ : ‎ For Dummies; 1st edition (September 4, 2014)
  • Publication date ‏ : ‎ September 4, 2014
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 9468 KB
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Sticky notes ‏ : ‎ On Kindle Scribe
  • Print length ‏ : ‎ 362 pages
  • Customer Reviews:
    3.8 3.8 out of 5 stars 52 ratings

About the author

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Meta S. Brown

Meta S. Brown

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Meta S. Brown helps organizations use practical data analysis to solve everyday business problems. A hands-on analyst who has tackled projects with up to $900 million at stake, she is a recognized expert in cutting-edge business analytics.

Ms. Brown is devoted to educating the business community on effective use of statistics, data mining and text mining. A sought-after analytics speaker, she has conducted over 4000 hours of seminars, attracting audiences across North America, Europe and South America. Her articles appear frequently on All Analytics, Smart Data Collective and other publications.

Meta S. Brown holds a Master of Science in Nuclear Engineering from the Massachusetts Institute of Technology, a Bachelor of Science in Mathematics from Rutgers University, and professional certifications from the American Society for Quality and National Association for Healthcare Quality. She has extensive experience in industry and has also served on the faculties of Roosevelt University and National-Louis University.

Customer reviews

3.8 out of 5 stars
3.8 out of 5
52 global ratings

Top reviews from the United States

Sherri Sahs-Valencic
5.0 out of 5 stars Great guide for both anyone new to data mining or ...
Reviewed in the United States on July 24, 2015
Verified Purchase
Great guide for both anyone new to data mining or for those needing a refresher. Meta Brown took the time to structured this book so it is not only easily consumed but handy as a reference guide, something not easily achieved by other publications!
2 people found this helpful
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michael sharp
4.0 out of 5 stars Four Stars
Reviewed in the United States on February 19, 2018
Verified Purchase
good book. I haven't finished it just yet.
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shopper 1
3.0 out of 5 stars Simple enough for an explaination
Reviewed in the United States on September 24, 2015
Verified Purchase
It is ok, it didn't touch on everything it just scutes the surface.
2 people found this helpful
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Harry Conley
5.0 out of 5 stars Great Book
Reviewed in the United States on November 3, 2014
Verified Purchase
Meta Brown did a great job in providing a easy book showing a introduction to the field of Data Mining. She shows what data mining is and and an introduction to how and why people do data mining.
2 people found this helpful
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Kindle Customer
1.0 out of 5 stars Terrible book. I was hoping it would help me ...
Reviewed in the United States on May 5, 2017
Verified Purchase
Terrible book. I was hoping it would help me search large volumes of data to find the documents I need.
I'm trying to search through a database that contains 10,000,000 pages of documents.
I need to construct queries to search this database.
The book didn't help at all. No hands on information in the book.
Who would find this book useful, exactly? Who is the intended audience?
I think this book is just a scam!!
One of the worst purchases I have ever made.
At least it wasn't much money.
One person found this helpful
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Gabriele F.
5.0 out of 5 stars Almost everything you need ...
Reviewed in the United States on March 9, 2015
Verified Purchase
... to get started, and more.
Very smart also for the advices on how to improve your analyst's mindset.
2 people found this helpful
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SM22
5.0 out of 5 stars Five Stars
Reviewed in the United States on December 29, 2014
Verified Purchase
Great introduction to data mining as well as a very helpful resource for those with experience.
2 people found this helpful
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Marek Zlakowski
2.0 out of 5 stars Too general to make use of it
Reviewed in the United States on November 14, 2015
Verified Purchase
I get used that after reading a book "....for Dummies" series I can start to make practical application of the subject in basic, simple tasks. This is not the case here. Content of this book is very general and I was not able to make practical application of it. Maybe topic is too wide for this type of book.
4 people found this helpful
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Top reviews from other countries

Translate all reviews to English
M. Specht
5.0 out of 5 stars Gut für Anfänger geeignet
Reviewed in Germany on November 8, 2020
Verified Purchase
Ein englischsprachiges Dummie Buch zum Thema Data Mining. Gut geeignet für Anfänger, aber auch Fortgeschrittene finden noch Anregungen zum Thema.
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Kevin
5.0 out of 5 stars Five Stars
Reviewed in Canada on January 23, 2017
Verified Purchase
Skimmed it so far when this review request came through, but looks thorough and practical.
Report
Javier S.
5.0 out of 5 stars Genial
Reviewed in Spain on June 2, 2017
Verified Purchase
muy bueno , super practico , la verdad que para comenzar en el DM es ideal.
Super claro y paso a paso
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John D Santamaria
3.0 out of 5 stars Three Stars
Reviewed in Australia on February 13, 2018
Verified Purchase
Good overview of the topic
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Edafe Onerhime
5.0 out of 5 stars Data mining for all?
Reviewed in the United Kingdom on February 21, 2015
Verified Purchase
I'm going to start by saying I really enjoyed this book. I've worked with data for nearly 20 years but there's always something new, interesting and energising to learn.

However, my bugbear is creating a bubble for data geeks, data nerds and big data consultants. Insights are for everyone and data is one resource we can tap into for that. I am always on the lookout for books that help non-techies understand techie concepts and most importantly, what's in it for them. This book falls squarely into that plain English, no bull approach.

Meta S. Brown aims this book squarely at domain experts - people who already have the know how that comes from working daily in their chosen fields. She then goes on to demonstrate how they can benefit from one method of manipulating data for insight: data mining.

I won't pretend this book is perfect - it's not. I understand some of the decisions, for example to focus on visual tools over text based ones. This is a minor niggle. The rest of the books covers in a good balance between succinctness and detail the *methodology* and *approach* to data mining.

This is key. With this grounding, the learning curve to pick up using a specific tool is reduced. And you'll need to invest in that because that's where this book fails to deliver. However, I'm pretty sure it would have been twice the size had Meta attempted to correct this, so as I mentioned, a minor niggle.

Bottom line: should you read this and what's in it for you?

TLDR; Yes you should. Especially if you already do data jiggery pokery using spreadsheets, have that essential domain knowledge and want to up your game.

Even if you're an expert data zen master, you'll benefit from comparing Meta's experiences, methodology and approach based on CRISP-DM to your own. A little practice-based analysis is a good thing.
8 people found this helpful
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