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Data Literacy in Practice

You're reading from   Data Literacy in Practice A complete guide to data literacy and making smarter decisions with data through intelligent actions

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781803246758
Length 396 pages
Edition 1st Edition
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Authors (2):
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Kevin Hanegan Kevin Hanegan
Author Profile Icon Kevin Hanegan
Kevin Hanegan
Angelika Klidas Angelika Klidas
Author Profile Icon Angelika Klidas
Angelika Klidas
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Table of Contents (21) Chapters Close

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

Defining a Data Literacy Competency Framework

One of the most common questions we get asked is, what skills are required to be data literate? Everyone has heard about data literacy, but few are aware of the various skills and mindsets that make up data literacy. Data literacy is not a unique skill all by itself. It is an aggregation of specific technical skills and specific soft skills, along with a mindset to listen, be curious, and think critically. We have introduced a variety of topics related to data literacy already throughout this book, and this chapter intends to bring them all together into a cohesive framework. This chapter describes a data literacy competency framework, which includes the right technical skills, soft skills, and mindsets for data literacy, based on the role you play with data and the level of experience you are starting at.

In this chapter, we’re going to cover the following main topics:

  • Data literacy competency framework
  • Data literacy...
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