Designed for presenters of scholarly or data-intensive content, Better Presentations details essential strategies for developing clear, sophisticated, and visually captivating presentations. With a range of clear examples for what to do (and what not to do), Jonathan Schwabish shares the best techniques to display work and win over audiences.
Designed for presenters of scholarly or data-intensive content, Better Presentations details essential strategies for developing clear, sophisticated, and visually captivating presentations. With a range of clear examples for what to do (and what not to do), Jonathan Schwabish shares the best techniques to display work and win over audiences.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jonathan Schwabish is a senior research associate at the Urban Institute's Income and Benefits Policy Center. He is also a member of the Institute's communication team, specializing in data visualization and presentation design. He has published widely in economics journals, including the National Tax Journal, the Journal of Human Resources, and the Journal of Economic Perspectives. He is the coauthor, with Robert Haveman and Andrew Bershadker, of Human Capital in the United States from 1975 to 2000: Patterns of Growth and Utilization (2006). He can be found on Twitter at @jschwabish.
Inhaltsangabe
Acknowledgments Introduction Part I. Designing Your Presentation 1. Theory, Planning, and Design 2. Color 3. Type Part II. Building Your Presentation 4. The Text Slide 5. The Data Visualization Slide 6. The Image Slide 7. The Scaffolding Slides Part III. Giving Your Presentation 8. Presenting 9. The Technical Nitty Gritty Conclusions Further Readings References
Acknowledgments Introduction Part I. Designing Your Presentation 1. Theory, Planning, and Design 2. Color 3. Type Part II. Building Your Presentation 4. The Text Slide 5. The Data Visualization Slide 6. The Image Slide 7. The Scaffolding Slides Part III. Giving Your Presentation 8. Presenting 9. The Technical Nitty Gritty Conclusions Further Readings References
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