Chapters

• Case studies [02:01]: The different types of analytics, from descriptive to predictive and beyond, are detailed through a series of examples. 

• Foundations [16:24]: This section details steps to ensure accuracy, privacy, and community collaboration such that data can be responsibly analyzed. 

• Analytics tools and capabilities [23:47]: ABI tools offer powerful pathways for users to responsibly interact with and share data. 

• Mitigating bias [32:39]: Technology tools are made by humans and therefore carry humans’ potential for bias, whether intentional or not. This section provides an overview of biasing pitfalls to avoid.  

• Data visualization [37:54]: What good is your data presentation if no one else can understand it? This section offers principles for accurate and responsible data visualization.