Be Data Literate: The Data Literacy Skills Everyone Needs to Succeed

by Jordan Morrow

Overview

WINNER: International Book Awards 2023 - Business: Technology (1st edition)

Not everyone needs to be a data scientist, but everyone should be data literate in a fast-moving world that brings new technological developments every day.

It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity, creativity and critical thinking necessary to make anyone data literate, without needing a data science degree.

With learnings to show development and real-world examples from industries implementing data literacy skills, this new edition includes groundbreaking insights into the future of data from AI to Web3. Be Data Literate is a practical guide to understanding the four levels of analytics, how to analyze data and the key steps to making smarter, data-informed decisions.

Product Details

ISBN-13:	9781398617773
Publisher:	Kogan Page, Ltd.
Publication date:	09/24/2024
Edition description:	2nd ed.
Pages:	264
Product dimensions:	6.14(w) x 9.21(h) x 0.00(d)

About the Author

Jordan Morrow is known as the "Godfather of Data Literacy", having helped pioneer the field by building one of the world's first data literacy programs. He is the founder and CEO of Bodhi Data, served as the Chair of the Advisory Board for The Data Literacy Project and has helped companies and organizations around the world, including the United Nations, build and understand data literacy. Morrow is the author of three books: Be Data Literate, Be Data Driven, and Be Data Analytical, all published by Kogan Page. He is based near Salt Lake City, Utah.

Table of Contents

** Chapter - 01: The world of data; ** Chapter - 02: The four levels of analytics; ** Chapter - 03: Defining data literacy; ** Chapter - 04: The data literacy umbrella; ** Chapter - 05: Reading and speaking the language of data; ** Chapter - 06: Combining data literacy and the four levels of analytics; ** Chapter - 07: The steps of data literacy learning; ** Chapter - 08: The three Cs of data literacy; ** Chapter - 09: Data informed decision-making; ** Chapter - 10: Data literacy and data and analytical strategy; ** Chapter - 11: Data literacy in the age of AI; ** Chapter - 12: Begin your data and analytics journey