- Shows the reader how to improve their ability to analyze, find insight in, and communicate with data confidently
- Explains how to use data to become a better decision maker by developing curiosity, creativity and critical thinking
- Examines the different skills required for the four levels of analytics (descriptive, diagnostic, predictive, prescriptive) and for different aspects of the data literacy world, from data visualization to data science and data architecture
- Includes tips, tricks and exercises to work through and examples from industries successfully implementing data literacy skills from a leading expert and trainer
- New to this edition: Includes a new chapter discussing the future of data and AI; explores how those working with data can embrace new technologies and use them to empower their data literacy while taking into consideration data ethics