30 Second Data Science
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30-Second Data Science
30-Second Data Scienceis the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives. Data science is an entirely new discipline that encompasses a new era of information, from finding criminals to predicting epidemics. But there's more to it than the vast quantities of information gathered by our computers, smartphones, and credit cards. Carefully compiled by experts in the field,30-Second Data Science covers the basic statistical principles that drive the algorithms, how data affects us in every way--science, society, business, pleasure--along with the ethical quandaries and its future promise of a better world. Each 30-Second entry details a different facet of data science in just 300 words and one picture, showing how the concept of bringing together different types of data, and using powerful computer programs to find patterns no human eye could spot, is already transforming our world. Exploring key ideas and featuring biographies of the people behind them, 30-Second Data Science explains clearly and concisely all you need to know about data science, from basics to ethics. The 30 Second series presents concise, informative guides to the most important topics which shape the world around us, presenting terms which are key to understanding the subject in 30 seconds, 300 words, and one image.
R for Data Science
Author: Hadley Wickham
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2016-12-12
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
30-Second Theories
When it comes to big science, very few things are conclusively known. From Quantum Mechanics to Natural Selection, what we have instead are theories - ideas explain why things happen the way they do. We don't know for certain these are correct - no one ever saw the Big Bang - but with them we can paint beautiful, breathtaking pictures of everything from human behaviour to what the future may hold. Profiling the key scientists behind each theory, "30-Second Theories" presents each entry in a unique, eye-catching full-colour design, with thought-provoking extras and stylish illustrations. It is essential for anyone keen on expanding their mind with science's most thrilling ideas.