Data Analytics in Accounting is designed to prepare your students with
the necessary tools and skills they need to successfully perform data
analytics. Using the IMPACT Cycle, the authors provide a conceptual
framework to help students think through the steps needed to provide
data-driven insights and recommendations. Integrated in each chapter,
labs provide students with hands on experiences performing analysis
using various datasets and tools. Students will perform data analysis
using Excel, Access (including SQL), Tableau, IDEA, XBRL, and Weka. With
customer feedback in mind, the authors incorporated three new chapters
covering tax and capstone projects that focus on both high-level and
low-level projects. Additional videos were integrated into Connect to
provide more lecture and lab support. This is an innovative course
solution that includes cutting-edge content and assessment paired with
assignments that help students build the skills they need to succeed.