Data Literacy in Practice: A complete guide to data literacy and making smarter decisions with data through intelligent actions

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.

1141960653
Data Literacy in Practice: A complete guide to data literacy and making smarter decisions with data through intelligent actions

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.

24.99 In Stock
Data Literacy in Practice: A complete guide to data literacy and making smarter decisions with data through intelligent actions

Data Literacy in Practice: A complete guide to data literacy and making smarter decisions with data through intelligent actions

Data Literacy in Practice: A complete guide to data literacy and making smarter decisions with data through intelligent actions

Data Literacy in Practice: A complete guide to data literacy and making smarter decisions with data through intelligent actions

eBook

$24.99 

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Overview

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.


Product Details

ISBN-13: 9781803232355
Publisher: Packt Publishing
Publication date: 11/30/2022
Sold by: Barnes & Noble
Format: eBook
Pages: 396
File size: 16 MB
Note: This product may take a few minutes to download.

About the Author

Angelika is a highly skilled denizen of the Data world. As operations manager for several organizations, strategic advisor and Data Literacy evangelist, she is able to analyze BI & Analytics environments expertly, map the ambitions of organizations and deliver cutting-edge advice to help organizations mature their data use. Inspiring organizations and people to grow in Business Intelligence & Analytics maturity is her passion. In addition to teaching at the University of Applied Sciences in Amsterdam, where she spreads her knowledge and passion to her Data & Analytics students


Kevin has helped individuals and organizations maximize the value they receive from their data for over 20 years. He is a is a frequent speaker and thought leader on topics including data literacy, data-informed decision making, decision intelligence, and essential skills for today's workforce. He is currently the Chief Learning Officer at Qlik, a data and analytics company, as well as the chair of the advisory board for The Data Literacy Project. Kevin is also an accomplished author of multiple books, including Turning Data into Wisdom, which helps individuals learn strategies to make data-informed decisions. He applies his passion both in the corporate setting and also in academia where he is an adjust professor at Boise State University.

Table of Contents

Table of Contents
  1. The Beginning- The Flow of Data
  2. Unfolding Your Data Journey
  3. Understanding the Four-Pillar Model
  4. Implementing Organizational Data Literacy
  5. Managing Your Data Environment
  6. Aligning with Organizational Goals
  7. Designing Dashboards and Reports
  8. Questioning the Data
  9. Handling Data Responsibly
  10. Turning Insights into Decisions
  11. Defining a Data Literacy Competency Framework
  12. Assessing Your Data Literacy Maturity
  13. Managing Data and Analytics Projects
  14. Appendix A – Templates
  15. Appendix B – References
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