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

Mastering data literacy and developing a mindset to work confidently with data is essential for making smarter decisions. This comprehensive guide provides practical models, best practices, and real-world examples to help individuals and organizations unlock the potential of data. It covers key concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs, and questioning insights. By the end of the book, readers will be equipped with the skills and mindset to find insights and meaning within their data for data-informed decision-making.

Format: Paperback / softback
Length: 396 pages
Publication date: 30 November 2022
Publisher: Packt Publishing Limited

Accelerate your journey to smarter decision-making by mastering the fundamentals of data literacy and developing the mindset to work confidently with data.

Key Features:

Get a solid grasp of data literacy fundamentals to support your next steps in your career.

Learn how to work with data and extract meaningful insights to take the right actions.

Apply your knowledge to real-world business intelligence projects.

Book Description:

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.

What you will learn:

Start your data literacy journey with simple and actionable steps.

Apply the four-pillar model to your data projects.

Understand the importance of data quality.

Set up a pragmatic data management environment.

Choose the right graphs to communicate your insights.

Question your insights and assumptions.

Develop a data-driven mindset.

Stay up-to-date with the latest data literacy trends and technologies.

Book Description:

Data is the driving force behind our digital world, and those who master data literacy can unlock a new realm of possibilities. In this comprehensive guide, two data literacy pioneers share their expertise and best practices to help you start making your data work for you.

The book is divided into four chapters, each covering a key aspect of data literacy. In the first chapter, you'll learn the four-pillar model that underpins all data and analytics. This model includes measuring data quality, setting up a pragmatic data management environment, choosing the right graphs to communicate your insights, and questioning your insights and assumptions.

In the second chapter, you'll explore the importance of data quality. You'll learn how to identify and address data quality issues, such as missing values, inconsistencies, and errors. You'll also learn how to use data quality tools and techniques to improve the accuracy and reliability of your data.

In the third chapter, you'll set up a pragmatic data management environment. You'll learn how to organize and store your data, how to create data visualizations, and how to automate data processing and analysis. You'll also learn how to collaborate with others and share your data effectively.

In the fourth chapter, you'll choose the right graphs to communicate your insights. You'll learn how to select the appropriate graph type for your data, how to customize your graphs, and how to use color and other visual elements to enhance your message. You'll also learn how to use storytelling techniques to make your data more engaging and memorable.

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. Whether you're a business professional, a data analyst, or a student, this guide will help you accelerate your journey to data literacy and unlock the full potential of your data.

Weight: 728g
Dimension: 191 x 237 x 24 (mm)
ISBN-13: 9781803246758