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Accelerate your journey to smarter decision making by mastering the fundamentals of data literacy and developing the mindset to work confidently with data

Key Features

  • Get a solid grasp of data literacy fundamentals to support your next steps in your career
  • Learn how to work with data and extract meaningful insights to take the right actions
  • Apply your knowledge to real-world business intelligence projects

Book Description

Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin—data literacy.

This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top universities in the US and the Netherlands. Complete with best practices, practical models, and real-world examples, Data Literacy in Practice will help you start making your data work for you by building your understanding of data literacy basics and accelerating your journey to independently uncovering insights.

You’ll learn the four-pillar model that underpins all data and analytics and explore concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs for your readers, and questioning your insights.

By the end of the book, you'll be equipped with a combination of skills and mindset as well as with tools and frameworks that will allow you to find insights and meaning within your data for data-informed decision making.

What you will learn

  • Start your data literacy journey with simple and actionable steps
  • Apply the four-pillar model for organizations to transform data into insights
  • Discover which skills you need to work confidently with data
  • Visualize data and create compelling visual data stories
  • Measure, improve, and leverage your data to meet organizational goals
  • Master the process of drawing insights, ask critical questions and action your insights
  • Discover the right steps to take when you analyze insights

Who this book is for

This book is for data analysts, data professionals, and data teams starting or wanting to accelerate their data literacy journey. If you’re looking to develop the skills and mindset you need to work independently with data, as well as a solid knowledge base of the tools and frameworks, you’ll find this book useful.

Table of Contents

  1. Data Literacy in Practice
  2. Contributors
  3. About the authors
  4. About the reviewers
  5. Preface
  6. Part 1: Understanding the Data Literacy Concepts
  7. Chapter 1: The Beginning – The Flow of Data
  8. Chapter 2: Unfolding Your Data Journey
  9. Chapter 3: Understanding the Four-Pillar Model
  10. Chapter 4: Implementing Organizational Data Literacy
  11. Chapter 5: Managing Your Data Environment
  12. Part 2: Understanding How to Measure the Why, What, and How
  13. Chapter 6: Aligning with Organizational Goals
  14. Chapter 7: Designing Dashboards and Reports
  15. Chapter 8: Questioning the Data
  16. Chapter 9: Handling Data Responsibly
  17. Part 3: Understanding the Change and How to Assess Activities
  18. Chapter 10: Turning Insights into Decisions
  19. Chapter 11: Defining a Data Literacy Competency Framework
  20. Chapter 12: Assessing Your Data Literacy Maturity
  21. Chapter 13: Managing Data and Analytics Projects
  22. Chapter 14: Appendix A – Templates
  23. Chapter 15: Appendix B – References
  24. Index
  25. Other Books You May Enjoy
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