Book Image

Data Literacy in Practice

By : Angelika Klidas, Kevin Hanegan
Book Image

Data Literacy in Practice

By: Angelika Klidas, Kevin Hanegan

Overview of this book

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.
Table of Contents (21 chapters)
1
Part 1: Understanding the Data Literacy Concepts
7
Part 2: Understanding How to Measure the Why, What, and How
12
Part 3: Understanding the Change and How to Assess Activities

Part 1: Understanding the Data Literacy Concepts

Have you heard the buzz around data literacy? We define data literacy as a combination of skills and mindsets that allows individuals to find insights and meaning within their data to enable effective, efficient data-informed decision-making. During the first part of this book, we will help you understand the principles of being successful in your data literacy journey.

This section comprises the following chapters:

  • Chapter 1, The Beginning – The Flow of Data
  • Chapter 2, Unfolding Your Data Journey
  • Chapter 3, Understanding the Four-Pillar Model
  • Chapter 4, Implementing Organizational Data Literacy
  • Chapter 5, Managing Your Data Environment