Books published by McGraw-Hill Education

Math for Business & Finance: An Algebraic Approach provides modern examples for students to understand business mathematics and make connections with real-world applications. The course covers mathematical concepts from an algebraic approach, combined with Business applications. Every chapter is devoted to a Personal Finance theme, with topics that include Payroll and the Cost of Purchasing a Home. There is also extensive integration of scientific calculator notation, and also has the Wall Street Journal and Kiplinger news clips that have been widely popular in Jeffrey Slater's other two Business Math texts. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.

Introduction to Business Analytics recognizes that students need to develop the skills to ask the right questions, learn to use common workplace tools (such as Excel®, Tableau®, and Power BI®) to examine and analyze data, and interpret results accurately and effectively to make business decisions. Richardson 1e provides a framework for developing a business analytics mindset called the SOAR analytics model which is composed of four steps- Specify the question, Obtain the data, analyze the data, and report the results. This model is used throughout the text in conjunction with the various types of data analysis that analysts need to perform. The lab activities, which appear at the end of each chapter, follow this framework to reinforce the analytical process. A capstone in the final chapter provides three projects that apply the complete SOAR model.

Financial Statement Analysis: A Data Analytics Approach introduces students to financial statement analysis (FSA) topics while developing the key data analytic skills in demand by today's employers. Using an FSA-oriented framework and the AMPS model, students learn to understand how data can be used to analyze financial statements. This is done through a balanced approach, centered on both performing data analysis and data-driven inferences. Data analytics labs ask students to think critically, bring together their knowledge of FSA and data analytics to ask and answer questions and present their findings to decision-makers. Paired with Connect this title offers the most robust platform support than any other FSA text on the market. It includes 40+ labs in Excel and Tableau with lab help videos that provide step-by-step instructions walking students through analysis tasks, lecture videos designed to reinforce learning objectives and important chapter concepts, auto-graded assessment, and SmartBook.