DATA ANALYTICS
- Free online version here.
- Codes (R and Python) and datasets available at github.
- Solution manual (for instructors) available at here.
- Buy the book here or through Amazon.com.
- Suitable for introductory data analytics courses.
- UW students, check out the Data Analytics course here.
- Emphasize storytelling and holistic understanding
- to build trust and transparency for trustworthy data science and AI applications.
- Build confidence by rigorous training and simple learning strategies
- many small datasets to guide students to work out pencil solutions and compare with established R/Python packages.
- To train an AI-enabled workforce
- whose members with diverse backgrounds understand the principles and intuitions of data science and AI tools
- can communicate about them in effective language
- can participate in the development of productive and responsible AI tools in various ways.