Transition to Advanced Analytics 1st Edition

Transition to Advanced Analytics, 1st Edition by Jason Tan and Brian Ferris is a practical, strategy-driven guide that helps professionals and students move from descriptive reporting to predictive and prescriptive analytics. Clear, concise, and modern in approach, this book breaks down complex methods—such as predictive modeling, data preparation, feature engineering, and model evaluation—into actionable steps you can apply in real-world business environments.

You’ll find engaging explanations of key analytics concepts, thoughtfully sequenced learning pathways, and industry-relevant examples that make technical ideas accessible without oversimplifying. Emphasizing business impact, the text demonstrates how to align analytics projects with organizational goals, communicate insights to stakeholders, and scale solutions across teams.

Ideal for aspiring data scientists, analytics managers, business analysts, and graduate students, this edition supports learners transitioning into more advanced roles and companies building analytics capability. Readers across North America, Europe, Asia-Pacific and other global markets will appreciate its practical focus on cross-industry applications—from retail and finance to healthcare and manufacturing.

If you’re ready to shift from dashboards to decision-driving models, Transition to Advanced Analytics, 1st Edition gives you the roadmap, techniques, and professional guidance to accelerate that journey. Order your copy today to start mastering the tools and strategies that turn data into measurable business value.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.