This handbook is provided as a document to answer your basic questions. For more information, please refer to the data science website and reach out to your advisor or Data Science director. We wish ...

The focus of The Data Science Handbook is on practical applications and the ability to solve real problems, rather than theoretical formalisms that are rarely needed in practice. Among its key points ...

This Handbook is designed to present the most pertinent information on the courses, examinations, and other requirements in our graduate program. The Graduate School Catalog should be consulted for ...

View the Data Science Graduate Handbooks here. Past Coursework Requirements Each year we evaluate and adjust our course lists, the coursework requirements for prior years are linked below. View the ...

This Handbook is designed to present the most pertinent information on the courses, examinations, and other requirements in our graduate program. The Graduate School Catalog should be consulted for ...

Hands-On Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time. This book will show you how to analyze your data, ...

Inspired by the Python Data Science Handbook, the project creates a series of journal notebooks based on the chapters in this book. Notebooks are created with the scicloj/notespace library, which ...

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. The code in the book was tested with Python 3.5, though most (but ...