Mastering Excel through projects : a learn-by-doing approach from payroll to crypto to data analysis / Hong Zhou.
2022
HF5548.4.M523 Z46 2022
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Details
Title
Mastering Excel through projects : a learn-by-doing approach from payroll to crypto to data analysis / Hong Zhou.
Author
ISBN
9781484278420 (electronic bk.)
1484278429 (electronic bk.)
1484278410
9781484278413
1484278429 (electronic bk.)
1484278410
9781484278413
Published
[New York, NY] : Apress, [2022]
Language
English
Description
1 online resource : illustrations
Item Number
10.1007/978-1-4842-7842-0 doi
Call Number
HF5548.4.M523 Z46 2022
Dewey Decimal Classification
005.54
Summary
Master Excel in less than two weeks with this unique project-based book! Lets face it, we all master skills in our own way, but building a soup-to-nuts project is one of the best ways to make learning stick and get up to speed quickly. Whether you are just getting started with Excel or are an experienced user, this book will elevate your knowledge and skills. For a beginner, the micro examples in each chapter will warm you up before you dive into the projects. For experienced users, the projects, especially those with table setup considerations, will help you become more creative in your interactions with Excel. Readers will benefit from building eight unique projects, each covering a different topic, including a word game, a food nutrition ranking, a payroll (tax withholding) calculation, an encryption, a two-way table, a Kaplan-Meier analysis, a data analysis via a pivot table and the K-means Clustering data mining method. Through these projects, you will experience firsthand how Excel skills are organized together to accomplish tasks that sound complex and daunting when first described. Get started with a word game which asks users to find English words that amount to exactly 100 points, with each letter of the alphabet assigned a point 1, 2, 3, 26, respectively. You will disassemble a word into letters and then sum up their points, and then take it one step further, contemplating how to make the completed Excel worksheet more user friendly and completely automated. Increasingly challenging tasks like this example build on what you have learned and increase your confidence along the way, ensuring your mastery of Excel. What You Will Learn Gain confidence to tackle a challenging Excel-related mission, even those that seem impossible Become skilled in the creative uses of Excel formulas and functions and other built-in features Appreciate the art of refining worksheets to maximize automation Understand the value of treating each worksheet as a unique product This book is for people who are interested in learning Excel as quickly and efficiently as possible. While Excel beginners and intermediate users are the primary audience, experienced Excel users might also discover new skills and ways of working with Excel. Hong Zhou is a professor of computer science and mathematics at the University of Saint Joseph in Connecticut. Before returning to school for his doctoral degree, Dr. Zhou worked as a Java developer in Silicon Valley. Since 2004, Dr. Zhou has been teaching various courses in computer science, data science, mathematics, statistics, and informatics. His major research interests include data mining, bioinformatics, software agents, and blockchain. Dr. Zhou became interested in Excel through teaching computer skills and using them for research purposes; for example, applying Excel in teaching data mining, encryption, and health informatics. He also enjoys applying his Excel skills to help colleagues in their research projects.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from digital title page (viewed on January 11, 2022).
Available in Other Form
Print version: 9781484278413
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Table of Contents
Chapter 1: Master Excel through Projects
Chapter 2: Food Nutrition Ranking
Chapter 3: Payroll Calculation
Chapter 4: Public and Private Key Cryptography
Chapter 5: Two-Way Table and Chi-Square Test
Chapter 6: Kaplan-Meier Analysis
Chapter 7: PivotTable Data Analysis
Chapter 8: K-means Clustering and Iterative Calculation.
Chapter 2: Food Nutrition Ranking
Chapter 3: Payroll Calculation
Chapter 4: Public and Private Key Cryptography
Chapter 5: Two-Way Table and Chi-Square Test
Chapter 6: Kaplan-Meier Analysis
Chapter 7: PivotTable Data Analysis
Chapter 8: K-means Clustering and Iterative Calculation.