Books

Byte size QlikView recipes to solve real world business discovery problems and build effective visualization.

This book describes the algorithms and procedures used to fit statistical models to data. The material covered is taught in the Advanced Statistical Computing course in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.

Greenhouse gas emissions have caused considerable changes in climate, including increased surface air temperatures and rising sea levels. This e-textbook presents a series of laboratory exercises in R that teach the Earth science and statistical concepts needed for assessing climate-related risks. These exercises are intended for upper-level undergraduates, beginning graduate students, and professionals in other areas who wish to gain insight into academic climate risk analysis.

Understand the Office features to improve productivity and optimize your time.

Includes the 1st, 2nd, and 3rd Editions. Advanced High School Statistics provides a thorough intro to statistics and supports students preparing for the AP Statistics exam. The book is also in B&W paperback for $25. Paperback royalties are shared between OpenIntro and the authors, and all Leanpub contributions go to authors to fund their time.

Discover the story of your data by learning the essential elements of statistical associations and correlations in medical research, from the basics of data collection all the way to visualising your relationships. Discover the world of associations and correlations. Get this book, TODAY!

The software that's managing your data shouldn't be a mystery. MySQL is the most popular open source database and powers WordPress, Drupal, Joomla, Magento and more. You don't have to be a professional database designer to understand and make use of its tools. MySQL Explained provides a clear and accessible step-by-step tutorial that will enable you to understand how your data is being stored and even design your own custom applications!

'Big Data' is certainly a cultural and business phenomenon. But what challenges do Data Scientists face in their day-to-day jobs. This collection of interviews with thought-leaders with experience at firms such as Etsy, Spotify, Amazon, Shopify and Stitchfix is an invaluable read to anyone working as a data scientist or managing a team. --------------------- To help support the scientific programming and data analysis community all proceeds from this book will be donated to NumFOCUS.

Learn everything there is to know about Shodan from the founder himself. The book covers all aspects from the website through to the developer API with exercises to help test your understanding.

A complete foundation for Statistics, also serving as a foundation for Data Science. Leanpub revenue supports OpenIntro (US-based nonprofit) so we can provide free desk copies to teachers interested in using OpenIntro Statistics in the classroom and expand the project to support free textbooks in other subjects. More resources: openintro.org.

Data analysis is now part of practically every research project in the life sciences. In this book we use data and computer code to teach the necessary statistical concepts and programming skills to become a data analyst. Instead of showing theory first and then applying it to toy examples, we start with actual applications and describe the theory as it becomes necessary to solve specific challenges. The book includes links to computer code that readers can use to follow along as they program.

The official companion of Finding Hidden Messages in DNA, the popular first course in Coursera's Bioinformatics sequence. Learn how biologists have begun to decipher the strange and wonderful language of DNA without needing to put on a lab coat. This book contains the first two chapters from Volume 1 of Bioinformatics Algorithms: An Active Learning Approach.

This book introduces the topic of Developing Data Products in R. A data product is the ideal output of a Data Science experiment. This book is based on the Coursera Class "Developing Data Products" as part of the Data Science Specialization. Particular emphasis is paid to developing Shiny apps and interactive graphics.

A rigorous treatment of linear models for self learning data scientists. This book is only available in pdf form.