Doing Data Science: Straight Talk from the Frontline

Doing Data Science is a comprehensive guide for anyone looking to break into the exciting field of data science.

With real-world case studies and code examples from industry leaders like Google, Microsoft, and eBay, this book provides a practical introduction to statistical inference, exploratory data analysis, and the data science process.

You'll learn how to use algorithms such as spam filters, Naive Bayes, and data wrangling, as well as logistic regression, financial modeling, recommendation engines, and causality.

The book also covers data visualization, social networks, and data journalism, as well as data engineering, MapReduce, Pregel, and Hadoop.

Whether you're a student looking to start your career in data science or an experienced professional looking to expand your skills, this book is the perfect resource for anyone interested in making a difference in the world of data.