Acquiring Data - MIKE REILLEY..............................

Searching the Deep Web - SAMANTHA SUNNE.......................

Scraping Data - MIKE REILLEY AND SAMANTHA SUNNE.......................

Cleaning Data - SAMANTHA SUNNE.......................

Basic Spreadsheets - MIKE REILLEY.......................

Advanced Spreadsheets and R - SAMANTHA SUNNE.......................

Writing a Data Story - MIKE REILLEY.......................

SQL - SAMANTHA SUNNE.......................

Scraping social media - SAMANTHA SUNNE.......................

data visualization - MIKE REILLEY.......................

ethics, trust, transparency and posting data online - MIKE REILLEY.......................

math for journalists: writing with numbers - MIKE REILLEY

"Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories. This book offers insights into data journalism from a global perspective, including datasets and interviews with data journalists from countries around the world. Emphasized by examples drawn from frequently updated sets of open data posted by authoritative sources like the FBI, Eurostat and the U.S. Census Bureau, the authors take a deep dive into data journalism's 'heavy lifting' - searching for, scraping, and cleaning data. Combined with exercises, video training supplements and lists of tools and resources at the end of each chapter, readers will learn not just how to crunch numbers but also how to put a human face to data, resulting in compelling, story-driven news stories based on solid analysis. Written by two experienced journalists and data journalism teachers, Data + Journalism is essential reading for students, instructors and early career professionals seeking a comprehensive introduction to data journalism skills"--