Data Literacy in Practice (https://amzn.to/3UfXUv7) is a comprehensive guide that will build your understanding of data literacy basics, and accelerate your journey to independently uncovering insights with best practices, practical models and real-world examples. (Source: https://www.kevinhanegan.com)

A COMPLETE GUIDE TO DATA LITERACY AND MAKING SMARTER DECISIONS WITH DATA THROUGH INTELLIGENT ACTIONS

Accelerate your journey to smarter decisions by mastering the fundamentals of Data Literacy and the mindset to work confidently with data.

Reader Objectives:

1. Gain a solid foundation of Data Literacy fundamentals to support your next steps on the journey

2. Learn how to work confidently with data and extract the right insights for valuable actions

3. Apply your knowledge to real-world Business Intelligence projects and get into action

Synopsis:

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

Discover the 4 pillar model that underpins all data and analytics. 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.

This guide is written by two Data Literacy pioneers, each with a thorough footprint within the Data and Analytics commercial world and their lectures at top Universities in the US and the Netherlands.

By the end of the book, you'll be equipped with a combination of skills and mindsets, along with tools and frameworks, that allow you to find insights and meaning within your data to enable effective, efficient data-informed decision-making.

What you will learn in the book:

1. Apply the 4 pillars required for organizations to transform data into insights

2. Understand how to start your data literacy journey with simple, actionable steps

3. Discover what skills you need to work confidently with data

4. Learn how to visualize data and create compelling visual data stories

5. Learn how to measure, improve and leverage your organizational goals to improve performance

6. Master the process of uncovering insights, learning to question them and taking intelligent action

7. Discover the right steps to take when you analyze insights

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