Teaching Resources
Everything you need to adopt and teach Data Analysis for Business, Economics, and Policy: slides, solutions, teaching guide, datasets, FAQs, and adoption examples.
Why teach with this book?
This section explains the philosophy and scope of the textbook. It shows how the book guides students through a full data analysis project: from formulating questions and working with real data to applying methods, interpreting results, and drawing conclusions. It also highlights the role of case studies, the four-part structure, and the range of intended audiences.
Key sections:
Why this book matters · How it is organised · Who it is for
Teaching Guide
The Teaching Guide for instructors shows how the textbook can be used for individual learning, classroom teaching, online delivery, or any hybrid format. It provides everything students need for independent study: intuitive explanations, practical advice, practice questions, and hands-on coding practice. This also enables instructors to design their courses flexibly.
Key sections:
Target audience ·
Undergraduate and postgraduate programmes · Doctoral programmes · Using the textbook in courses · Auxiliary materials
Programmes using the textbook
The textbook has been adopted by more than 90 programmes worldwide in Economics, Finance, Analytics, Business, and Public Policy, including:
- USA/Canada: Columbia, University of Texas, University of Michigan, Penn State, Toronto, McGill
- UK: UCL, LSE, Oxford, Cambridge Judge, City, Essex
- Europe: Bocconi, Vienna, CEU, Heidelberg, Berlin, UC Dublin, Copenhagen
- Asia–Pacific: Tokyo International University, Kyoto, UWA Perth
- Latin America: Monterrey, Bogotá, Insper Brazil
Full list of courses using the book →
Further resources:
Instructor FAQ · Instructors’ feedback and reviews · Endorsements
Recources
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Slides: PDF versions are available on the Chapters page.
Editable Overleaf/LaTeX source files can be requested via contact us. -
Solutions to practice questions: A 100-page set containing solutions to 360 practice questions, available via Cambridge University Press (registration required).
Solutions for instructors are provided through Cambridge University Press (CUP); instructor verification may be required.
Supplementary resources
Reading suggestions · Suggested datasets · Learning-to-code ideas
Support & updates
- Errata – corrections and updates
- Chapter Q&A archives: Part I · Part II · Part III · Part IV
- GitHub issues – to report issues or suggest improvements
- Cambridge University Press (CUP) hub – official publisher resources
- Contact us – direct support