Data Literacy
A User's Guide
Nonfiction, Reference & Language, Reference, Research, Language Arts, Journalism
| Author: | David L. Herzog | ISBN: | 9781483378671 |
| Publisher: | SAGE Publications | Publication: | January 29, 2015 |
| Imprint: | SAGE Publications, Inc | Language: | English |
| Author: | David L. Herzog |
| ISBN: | 9781483378671 |
| Publisher: | SAGE Publications |
| Publication: | January 29, 2015 |
| Imprint: | SAGE Publications, Inc |
| Language: | English |
***A practical, skill-based introduction to data analysis and literacy * **
We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User's Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.
***A practical, skill-based introduction to data analysis and literacy * **
We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User's Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.
