Data Literacy: A User's Guide,New

Data Literacy: A User's Guide,New

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A practical, skillbased introduction to data analysis and literacyWe 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 todays world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publiclyavailable data through exercises using simple Excel functions. Extensively illustrated, stepbystep 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.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: What is the main focus of 'Data Literacy: A User's Guide'? A: The book focuses on providing a practical, skill-based introduction to data analysis and data literacy, aimed at helping readers understand and utilize data effectively.
  • Q: Who is the author of this book? A: The author of 'Data Literacy: A User's Guide' is David Herzog, a journalist with extensive experience in data analysis.
  • Q: What type of exercises are included in the book? A: The book includes exercises that utilize simple Excel functions to help readers create insights from publicly available data.
  • Q: Is this book suitable for beginners? A: Yes, the book is designed for readers with no advanced knowledge of data analysis or statistics, making it suitable for beginners.
  • Q: What topics are covered in the concluding chapter? A: The concluding chapter introduces more sophisticated data analysis methods and tools, including database managers like Microsoft Access and MySQL, as well as statistical programs such as SPSS, SAS, and R.
  • Q: How many pages does the book have? A: The book has a total of 224 pages.
  • Q: What is the binding type of this book? A: The book is available in paperback binding.
  • Q: When was 'Data Literacy: A User's Guide' published? A: The book was published on February 11, 2015.
  • Q: What is the condition of the book? A: The book is brand new.
  • Q: Can this book help with data visualization? A: Yes, the book includes guidance on how to analyze and visualize data effectively.

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