Skip to Content
Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods
book

Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods

by Hong Zhou
June 2020
Beginner to intermediate
223 pages
4h 13m
English
Apress

Overview

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods.

Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help.

Excel allows you to work with data in a transparent manner. When you open an Excel file, data is visible immediately and you can work with it directly. Intermediate results can be examined while you are conducting your mining task, offering a deeper understanding of how data is manipulated and results are obtained. These are critical aspects of the model construction process that are hidden in software tools and programming language packages.

This book teaches you data mining through Excel. You will learn how Excel has an advantage in data mining when the data sets are not too large. It can give you a visual representation of data mining, building confidence in your results. You will go through every step manually, which offers not only an active learning experience, but teaches you how the mining process works and how to find the internal hidden patterns inside the data.


What You Will Learn

  • Comprehend data mining using a visual step-by-step approach
  • Build on a theoretical introduction of a data mining method, followed by an Excel implementation
  • Unveil the mystery behind machine learning algorithms, making a complex topic accessible to everyone
  • Become skilled in creative uses of Excel formulas and functions
  • Obtain hands-on experience with data mining and Excel


Who This Book Is For

Anyone who is interested in learning data mining or machine learning, especially data science visual learners and people skilled in Excel, who would like to explore data science topics and/or expand their Excel skills. A basic or beginner level understanding of Excel is recommended. 


Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Introduction to Statistical and Machine Learning Methods for Data Science

Introduction to Statistical and Machine Learning Methods for Data Science

Carlos Reis Pinheiro, Mike Patetta
Machine Learning and Data Science Blueprints for Finance

Machine Learning and Data Science Blueprints for Finance

Hariom Tatsat, Sahil Puri, Brad Lookabaugh

Publisher Resources

ISBN: 9781484259825Purchase LinkPublisher Website