The Chicago Guide to Data Science

The Chicago Guide to Data Science#

Edited by Dan L. Nicolae, Michael J. Franklin, and Amanda R. Kube Jotte

Contributing Authors#

Amanda R. Kube Jotte, MS, PhD: Assistant Instructional Professor, Data Science Institute, University of Chicago

Dan L. Nicolae, PhD: Professor, Departments of Statistics,Human Genetics, Medicine, Section of Genetic Medicine, and the College and Faculty Co-Director, Data Science Institute, University of Chicago

Evelyn Campbell, PhD: Consultant, Impactus Research and Counseling

Will Trimble, PhD: Assistant Instructional Professor, Data Science Institute, University of Chicago

Susanna Lange, PhD: Lecturer, Department of Statistics and Data Science, The Wharton School of the University of Pennsylvania

Jesse London: Software Engineer, Data Science Institute, University of Chicago

Kriti Sehgal, MS, PhD: Preceptor, Data Science Institute, University of Chicago

Satadisha Saha Bhowmick, PhD: Preceptor, Data Science Institute, University of Chicago

Kelly Smalenberger, PhD: Preceptor, Data Science Institute, University of Chicago

Meghan Hutch, PhD: Preceptor, Data Science Institute, University of Chicago

Acknowledgements#

We would like to express our deepest gratitude to the many individuals who made this project a reality. First and foremost, we thank the chapter authors for their invaluable contributions and expertise.

We also offer a special thanks to Professors Nicolae and Franklin, for their initial vision and for entrusting us with the coordination of this work.

Finally, thank you to those who provided feedback on this work including Bill Trok, Atticus Ginsborg, and David Uminsky.

Jupyter Books was originally created by Sam Lau and Chris Holdgraf with support of the UC Berkeley Data Science Education Program and the Berkeley Institute for Data Science.