Data Science for All
Brennan Davis and Hunter Glanz, Cal Poly – San Luis Obispo
Crafted for any undergrad student, Data Science for All empowers students with the skills to navigate our data–rich world. The authors help students succeed by integrating engaging, hands-on activities and practical examples, making it accessible to those without prior statistics or programming experience. Featuring flexible software options and comprehensive resources, the book ensures students can seamlessly transition from learning to application. Perfect for introductory courses, it prepares students to navigate and utilize data in both their academic and professional journeys.
Features | Meet the authors | Testimonials | Author webinars
Try it Yourself & Applying the Concepts
Try it Yourself items give students conceptual practice with guidance. Applying the Concepts activities ask students to apply concepts using the analysis tool of your choice.
Integrated Review
Additional foundational math & stats support, including auto-graded exercises and videos, is available in the MyLab Statistics course.
Video Support
Over 500 videos include lecture support, example problem videos, and software support for R, Python, Excel, StatCrunch and SQL.
Meet the authors
Hear from Brennan and Hunter.
Brennan Davis
Professor and Director of Analytics Programs, California Polytechnic State University
Hunter Glanz
Associate Professor, California Polytechnic State University
“I appreciate the variety in the visualizations and the visual appeal of them.”
- Devin Brown, student pilot user
“Its presentation of topics goes beyond mere definitions by incorporating real-world examples, enabling students to associate data science techniques with practical applications. This approach significantly enhances the learning process.”
- Professor, California State University - Pomona
“I love the explanations for the concepts. The language is very easy to understand and not overly technical. I love the level of detail on each of the topics presented, as well as including real world applications to motivate why these topics are important.”
- Karle Flanagan, University of Illinois- Champaign
Rachel Vincent-Finley
Brennan Davis
Professor and Director of Analytics Programs, California Polytechnic State University
Brennan Davis is the Richard and Julie Hood Professor and Director of Analytics Programs at the Orfalea College of Business at Cal Poly in San Luis Obispo, CA. He has a PhD from The Paul Merage School of Business at the University of California Irvine, an MBA from the Wharton School of Business at the University of Pennsylvania, and a BS in mathematics from UCLA. He teaches upper-division undergraduate and graduate analytics courses. He is a member of Cal Poly’s Data Science & Analytics university initiatives committee.
Marc Renault
Hunter Glanz
Associate Professor, California Polytechnic State University
Hunter Glanz is an associate professor of statistics and data science at California Polytechnic State University (Cal Poly, San Luis Obispo). He received a BS in mathematics and a BS in statistics from Cal Poly, San Luis Obispo, followed by an MA and PhD in statistics from Boston University. He maintains a passion for machine learning and statistical computing and enjoys advancing education efforts in these areas. Hunter serves on numerous committees and organizations dedicated to delivering cutting-edge statistical and data science content to students and professionals alike. He is a founding board member of the California Alliance for Data Science Education.