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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
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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

Assessing individual data literacy

As per our belief, data literacy is not one-size-fits-all. Not only is it specific to the role that you play with data, but there are also different levels. Therefore, a single data literacy assessment that is used by everyone, regardless of their level or how they interact with data, is not practical or useful. Assessing someone’s skills around preparing data is not relevant to a person whose role with data involves only reviewing insights generated by others.

However, it is very useful for people new to data literacy to have a simple way to assess their foundational data literacy skills and mindsets, regardless of what role they play with data. In this chapter, we will provide you with such an assessment. In the end, we will provide you with a link to a more robust assessment you can complete online if you want to go deeper.

This 22-question self-assessment, shown in Figure 12.1, can be completed in about 15 minutes. For each statement...

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