A concise eBook for the self-learner. The book covers the essential mathematical content for any student considering, or taking an MBA degree. All of the topics appear in a typical MBA program. Every chapter has practice questions, linked to video solutions.

MBA Math & More provides expert academic support you need for all the key material--especially the math--that you’ll see in your first year of business school. After all the hard work, you’ve finally gotten accepted to business school. But you’re worried about the “school” part of b-school--especially the math of Statistics, Finance, Accounting, and so on. Or maybe you’ve already started your program, and your head is spinning. Statistical distributions are brutal on their own, and they’re even harder when you’re also schmoozing recruiters and tackling all the other challenges of your MBA program. MBA Math & More will be your go-to academic guide throughout your first year of business school. Armed with top-shelf MBAs and years of GMAT teaching, the authors have drawn on their own experiences and those of hundreds of other MBA students to craft straightforward reviews of all the key concepts. The math is explained simply with plenty of easy-to-follow diagrams and concrete examples. At last, you’ll feel like you really get how the discount rate affects the price of a bond, along with dozens of other challenging ideas at the heart of b-school programs. The book even includes a glossary of need-to-know jargon, so you won't feel lost when classmates start slinging around acronyms.

This book is a review of the analytical methods required in most of the quantitative courses taught at MBA programs. Students with no technical background, or who have not studied mathematics since college or even earlier, may easily feel overwhelmed by the mathematical formalism that is typical of economics and finance courses. These students will benefit from a concise and focused review of the analytical tools that will become a necessary skill in their MBA classes. The objective of this book is to present the essential quantitative concepts and methods in a self-contained, non-technical, and intuitive way.

From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. An increasing number of MBAs are choosing to pursue careers in tech. For them and other professionals, having some basic coding knowledge is a must. This book is an introduction to programming with Python for MBA students and others in business positions who need a crash course. One of the most popular programming languages, Python is used for tasks such as building and running websites, data analysis, machine learning, and natural-language processing. Drawing on years of experience providing instruction in this material at Columbia Business School as well as extensive backgrounds in technology, entrepreneurship, and consulting, Mattan Griffel and Daniel Guetta teach the basics of programming from scratch. Beginning with fundamentals such as variables, strings, lists, and functions, they build up to data analytics and practical ways to derive value from large and complex datasets. They focus on business use cases throughout, using the real-world example of a major restaurant chain to offer a concrete look at what Python can do. Written for business students with no previous coding experience and those in business roles that include coding or working with coding teams, Python for MBAs is an indispensable introduction to a versatile and powerful programming language.

A sophisticated yet non-technical introduction to microeconomics for MBA students, now in its third edition.

Master the fundamentals, hone your business instincts, and save a fortune in tuition. The consensus is clear: MBA programs are a waste of time and money. Even the elite schools offer outdated assembly-line educations about profit-and-loss statements and PowerPoint presentations. After two years poring over sanitized case studies, students are shuffled off into middle management to find out how business really works. Josh Kaufman has made a business out of distilling the core principles of business and delivering them quickly and concisely to people at all stages of their careers. His blog has introduced hundreds of thousands of readers to the best business books and most powerful business concepts of all time. In The Personal MBA, he shares the essentials of sales, marketing, negotiation, strategy, and much more. True leaders aren't made by business schools-they make themselves, seeking out the knowledge, skills, and experiences they need to succeed. Read this book and in one week you will learn the principles it takes most people a lifetime to master.

For arithmetic-based Business Math courses at the undergraduate level. Will sometimes fit courses titled Consumer Math or Personal Finance. The focus of the 8th Edition of Business Mathematics(Brief Edition) is to provide students with the tools they need to solve mathematical problems they will encounter in both their personal and professional lives. Students are presented math in contexts that are familiar to them and that they care about: math needed for everyday business transactions, math needed to make important personal finance decisions, and math needed to start or run a small business. Now available with Business Math Brief Version, 8/e: MathXL® and MyMathLab® for Business Math provide a powerful classroom management, homework, tutorial, and assessment tools. Students can take chapter quizzes or tests in MathXL and MyMathLab and receive personalized study plans based on their test results. The study plan diagnoses weaknesses and links students directly to tutorial exercises for the outcomes they need to study and retest. All student work can be tracked in MathXL's online gradebook. Three packaging options--MyMathLab, MathXL, or MathXL Tutorials on CD--provide flexible platforms to fit your course goals. For more information, visit our websites at www.mymathlab.com and www.mathxl.com, or contact your sales representative. This text is also available in a full version (21 chapters). Business Math, 8/e, Cleaves & Hobbs

A hands-on guide to the use of quantitative methods and software for making successful business decisions The appropriate use of quantitative methods lies at the core of successful decisions made by managers, researchers, and students in the field of business. Providing a framework for the development of sound judgment and the ability to utilize quantitative and qualitative approaches, Data Driven Business Decisions introduces readers to the important role that data plays in understanding business outcomes, addressing four general areas that managers need to know about: data handling and Microsoft Excel, uncertainty, the relationship between inputs and outputs, and complex decisions with trade-offs and uncertainty. Grounded in the author's own classroom approach to business statistics, the book reveals how to use data to understand the drivers of business outcomes, which in turn allows for data-driven business decisions. A basic, non-mathematical foundation in statistics is provided, outlining for readers the tools needed to link data with business decisions; account for uncertainty in the actions of others and in patterns revealed by data; handle data in Excel; translate their analysis into simple business terms; and present results in simple tables and charts. The author discusses key data analytic frameworks, such as decision trees and multiple regression, and also explores additional topics, including: Use of the Excel® functions Solver and Goal Seek Partial correlation and auto-correlation Interactions and proportional variation in regression models Seasonal adjustment and what it reveals Basic portfolio theory as an introduction to correlations Chapters are introduced with case studies that integrate simple ideas into the larger business context, and are followed by further details, raw data, and motivating insights. Algebraic notation is used only when necessary, and throughout the book, the author utilizes real-world examples from diverse areas such as market surveys, finance, economics, and business ethics. Excel® add-ins StatproGo and TreePlan are showcased to demonstrate execution of the techniques, and a related website features extensive programming instructions as well as insights, data sets, and solutions to problems included in the material. Data Driven Business Decisions is an excellent book for MBA quantitative analysis courses or undergraduate general statistics courses. It also serves as a valuable reference for practicing MBAs and practitioners in the fields of statistics, business, and finance.

The authors give the most comprehensive, authoritative and compelling account yet of the troubled state of business education today and go well beyond this to provide a blueprint for the future.