Data Literacy in Practice [Audiobook]

Data Literacy in Practice
Author: Angelika Klidas & Kevin Hanegan
Narrator: n/a
English | 2022 | ISBN: 9781837632381 | MP3@64 kbps | 9h 23m | 762 MB

Accelerate your journey to smarter decision making by mastering the fundamentals of data literacy and developing the mindset to work confidently with data
About This Audiobook
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
In Detail
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.
Audience
This book is for data analysts, data professionals, and data teams starting or wanting to accelerate their data literacy journey. If you’re looking to develop the skills and mindset you need to work independently with data, as well as a solid knowledge base of the tools and frameworks, you’ll find this book useful.

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