num_pages: 408
description: Now that people are aware that data can make the difference in an election or a business model data science as an occupation is gaining ground. But how can you get started working in a wide-ranging interdisciplinary field thats so clouded in hype? This insightful book based on Columbia Universitys Introduction to Data Science class tells you what you need to know.In many of these chapter-long lectures data scientists from companies such as Google Microsoft and eBay share new algorithms methods and models by presenting case studies and the code they use. If youre familiar with linear algebra probability and statistics and have programming experience this book is an ideal introduction to data science.Topics include:Statistical inference exploratory data analysis and the data science processAlgorithmsSpam filters Naive Bayes and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering MapReduce Pregel and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt Senior VP of Data Science at News Corp and data science consultant Cathy ONeil a senior data scientist at Johnson Research Labs who attended and blogged about the course.
language: English
title: Doing Data Science: Straight Talk from the Frontline
publisher: O'Reilly Media