COSC - Computer Science: Data Science

Becoming a Data Head:How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning by Alex J. Gutman; Jordan Goldmeier Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it.

Python Data Science Handbook by Jake VanderPlas Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models.

R for Data Science by Hadley Wickham; Mine Cetinkaya-Rundel; Garrett Grolemund Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse: a collection of R packages designed to work together to make data science fast, fluent, and fun.

Data Visualization with Python and JavaScript by Kyran Dale How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job.

Practical Data Privacy by Katharine Jarmul This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems.

Storytelling with Data by Cole Nussbaumer Knaflic Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become--or teach others to be--a powerful data storyteller.

Language and the Rise of the Algorithm by Jeffrey M. Binder A wide-ranging history of the intellectual developments that produced the modern idea of the algorithm. Bringing together the histories of mathematics, computer science, and linguistic thought, Language and the Rise of the Algorithm reveals how recent developments in artificial intelligence are reopening an issue that troubled mathematicians long before the computer age. How do you draw the line between computational rules and the complexities of making systems comprehensible to people?

A History of Data Visualization and Graphic Communication by Michael Friendly; Howard Wainer A comprehensive history of data visualization--its origins, rise, and effects on the ways we think about and solve problems. With complex information everywhere, graphics have become indispensable to our daily lives.