Best Business Mathematics Books
Here you will get Best Business Mathematics Books For you.This is an up-to-date list of recommended books.
1. Storytelling with Data: A Data Visualization Guide for Business Professionals
Author: by Cole Nussbaumer Knaflic
Don’t simply show your datatell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You’ll discover the power of storytelling and the way to make data a pivotal point in your story.
The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examplesready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don’t make it any easier.
This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you’ll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience’s attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience.
2. Data Science from Scratch: First Principles with Python
Author: by Joel Grus
To really learn data science, you should not only master the toolsdata science libraries, frameworks, modules, and toolkitsbut also understand the ideas and principles underlying them. Updated for Python 3. 6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist.
Packed with New material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data. Get a crash course in PythonLearn the basics of linear algebra, statistics, and probabilityand how and when they’re used in data scienceCollect, explore, clean, munge, and manipulate dataDive into the fundamentals of machine learningImplement models such as k-nearest neighbors, Nave Bayes, linear and logistic regression, decision trees, neural networks, and clusteringExplore recommender systems, natural language processing, network analysis, MapReduce, and databases..
3. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Author: by Foster Provost
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the “data-analytic thinking” necessary for extracting useful knowledge and business value from the data you collect.
This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles.
You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.
Understand how data science fits in your organizationand how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates.
4. Financial Statements (Quick Study Business)
Author: by Inc. BarCharts
Essential coverage of financial statement preparation and the reading of those statements including examples and various forms of business, whether governmental, nonprofit or even personal. For students of business in or out of school, this precise targeted coverage ensures easy access to the tool that is the backbone of any successful business.
5. Theory of Games and Economic Behavior: 60th Anniversary Commemorative Edition
Author: by John Von Neumann
This is the classic work upon which modern-day game theory is based. What began as a modest proposal that a mathematician and an economist write a short paper together blossomed, when Princeton University Press published Theory of Games and Economic Behavior.
In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded-game theory-has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations.
And it is today established throughout both the social sciences and a wide range of other sciences.
6. Show Me the Numbers: Designing Tables and Graphs to Enlighten
Author: by Stephen Few
Most presentations of quantitative information are poorly designedpainfully so, often to the point of misinformation. This problem, however, is rarely noticed and even more rarely addressed. We use tables and graphs to communicate quantitative information: the critical numbers that measure the health, identify the opportunities, and forecast the future of our organizations.
Even the best information is useless, however, if its story is poorly told. This problem exists because almost no one has ever been trained to design tables and graphs for effective and efficient communication. Show Me the Numbers: Designing Tables and Graphs to Enlighten is the most accessible, practical, and comprehensive guide to table and graph design available.
The second edition of Show Me the Numbers improves on the first by polishing the content throughout (including updated figures) and adding 91 more pages of content, including: 1) A new preface; 2) A new chapter entitled “Silly Graphs That Are Best Forsaken,” which alerts readers to some of the current misuses of graphs such as donut charts, circle charts, unit charts, and funnel charts; 3) A new chapter about quantitative narrative entitled “Telling Compelling Stories with Numbers”; and 4) New appendices entitled “Constructing Table Lens Displays in Excel,” “Constructing Box Plots in Excel,” and “Useful Color Palettes.”
7. MyMathLab: Student Access Kit
Author: by Hall H Pearson Education
This access kit will provide you with a code to get into MyMathLab, a personalized interactive learning environment, where you can learn mathematics and statistics at your own pace and measure your progress. In order to use MyMathLab, you will need a CourseID provided by your instructor; MyMathLab is not a self-study product and does require you to be in an instructor-led course.
This product is for the national MyMathLab access kit. If your school has a custom MyMathLab course the printed access card will not work. MyMathLab includes: Interactive tutorial exercises: MyMathLab’s homework and practice exercises are correlated to the exercises in the relevant textbook, and they regenerate algorithmically to give you unlimited opportunity for practice and mastery.
Most exercises are free-response and provide an intuitive math symbol palette for entering math notation. Exercises include guided solutions, sample problems, and learning aids for extra help at point-of-use, and they offer helpful feedback when students enter incorrect answers. EBook with multimedia learning aids: MyMathLab courses include a full eBook with a variety of multimedia resources available directly from selected examples and exercises on the page.
8. A Teenager's Guide to Investing in the Stock Market: Invest Hard Now | Play Hard Later
Author: by Luke Villermin
Did you know that you can become a millionaire just by investing the money you make from delivering pizzas one night per week? In fact, any amount of money you invest in the stock market today will grow to a much larger sum laterthe key is starting now!
The average American waits until age thirty-one to begin saving and investing for retirement, and they end up 2. 5 million dollars poorer because of it. In A Teenager’s Guide to Investing in the Stock Market, early-investor Luke Villermin breaks down the Wall Street lingo, levels the playing field, and serves up seven chapters to help young investors obtain:Inspiration to start saving and investing for retirement todayConfidence in how the stock market operates and how to choose investmentsA step-by-step road map to opening an online account, purchasing stock, and putting money to workIf you start investing early enough, you only need to save and invest $125 per month to become a millionaire.
Buckle up for the most adult thing you have accomplished since you passed your driver’s ed test. There is so much to lose by not starting ASAP. If you invest hard now, you will truly be able to play hard later.
9. Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
Author: by Claus O. Wilke
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.
This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing?Author Claus O.
Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a valueUnderstand the importance of redundant coding to ensure you provide key information in multiple waysUse the book’s visualizations directory, a graphical guide to commonly used types of data visualizationsGet extensive examples of good and bad figuresLearn how to use figures in a document or report and how employ them effectively to tell a compelling story
10. The Model Thinker: What You Need to Know to Make Data Work for You
Author: by Scott E.
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data.
But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren’t enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational modelsfrom linear regression to random walks and far beyondthat can turn anyone into a genius.
At the core of the book is Page’s “many-model paradigm,” which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
11. Real Estate Math Express: Rapid Review and Practice with Essential License Exam Calculations
Author: by Stephen Mettling
NAMED ONE OF THE BEST COMMERCIAL REAL ESTATE BOOKS BY THE MOTLEY FOOL Foundations of Real Estate Financial Modelling, Second Edition is specifically designed to provide the scalable basis of pro forma modelling for real estate projects. The book introduces students and professionals to the basics of real estate finance theory prior to providing a step-by-step guide for financial real estate model construction using Excel.
The book introduces an innovative new financial metric, P(Gain), which quantifies the probability of a Return of Capital and answers the most basic question for investing, “What is the probability I get my money back?”. This new second edition has been fully revised and expanded.
The book is separated into three functional units: (1) Real Estate Valuation Basics, Theory and Skills, (2) Real Estate Pro Forma Modelling, (3) Real Estate Pro Forma (Enhancements). New and enhanced Chapters cover: Interest rates Amortization Single- and multi-family unit Development module Rent roll module Waterfall (equity bifurcation) Hotel, retail/office and townhouse.
13. Statistics for Business: Decision Making and Analysis
Author: by Robert Stine
For one- and two-semester courses in introductory business statistics. Understand Business.Understand Data. The 3rd Edition of Statistics for Business: Decision Making and Analysis emphasizes an application-based approach, in which readers learn how to work with data to make decisions.
In this contemporary presentation of business statistics, readers learn how to approach business decisions through a 4M Analytics decision making strategymotivation, method, mechanics and messageto better understand how a business context motivates the statistical process and how the results inform a course of action.
Each chapter includes hints on using Excel, Minitab Express, and JMP for calculations, pointing the reader in the right direction to get started with analysis of data. Also available with MyLab Statistics MyLab Statistics from Pearson is the world’s leading online resource for teaching and learning statistics; it integrates interactive homework, assessment, and media in a flexible, easy-to-use format.
14. All the Math You'll Ever Need: A Self-Teaching Guide
Author: by Steve Slavin
A sharp mind, like a healthy body, is subject to the same ruleof nature: Use it or lose it Need a calculator just to work out a 15 percent service charge? Not exactly sure how to get the calculator to give you the figureyou need?
Turn to this revised and updated edition of All the MathYou’ll Ever Need, the friendliest, funniest, and easiest workoutprogram around. In no time, you’ll have total command of all the powerfulmathematical tools needed to make numbers work for you. In adollars-and-cents, bottom-line world, where numbers influenceeverything, none of us can afford to let our math skills atrophy.
This step-by-step personal math trainer: Refreshes practical math skills for your personal andprofessional needs, with examples based on everyday situations. Offers straightforward techniques for working with decimals and fractions. Demonstrates simple ways to figure discounts, calculatemortgage interest rates, and work out time, rate, and distance problems.
Contains no complex formulas and no unnecessary technical terms.
15. A Primer For The Mathematics Of Financial Engineering, Second Edition (Financial Engineering Advanced Background Series)
Author: by Dan Stefanica
Reviews for A Primer for the Mathematics of Financial Engineering, First Edition: “One of the hottest degrees on today’s campus is a Masters in Financial Engineering. Whether you need to retrieve hallowed memories or just want to familiarize yourself with the mathematics underlying this degree, this unique book offers a terrific return on investment.
Peter Carr, PhD Global Head of Modeling, Morgan Stanley; Director of the Masters Program in Mathematical Finance, Courant Institute, NYU “This is the book I always recommend to people who ask about their mathematics before doing an MFE, and a few people could do with reading it after as well.” -Dominic Connor Director, P&D Quantitative Recruitment NEW TOPICS: Dollar duration, Dollar convexity, DV01; the effect of parallel shifts in the yield curve to changes in bond yields; bond portfolio immunization; arbitraging the Put-Call parity; percentage vs.
Log returns for individual assets and portfolios; optimum investment portfolios: maximum return portfolios and minimum variance portfolios; the numerical precision of finite difference approximations of the Greeks. New or expanded sections: new chapter on solving nonlinear problems; expanded Lagrange multipliers sections; streamlined Taylor series and Taylor expansion sections; Mathematical Appendix at the end of the book.
16. Modern Database Management, (2-downloads)
Author: by Jeff Hoffer
January 19, 2018
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This print textbook is available for students to rent for their classes.
The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed. For courses in database management. A comprehensive text on the latest in database development Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy and topics that are critical for the practical success of database professionals.
The 13th Edition updates and expands materials in areas undergoing rapid change as a result of improved managerial practices, database design tools and methodologies, and database technology such as application security, multi-user solutions, and more to reflect major trends in the field and the skills required of modern information systems graduates.