Be Data Literate , livre ebook

Kogan Page - Jordan Morrow

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145 pages

English

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Description

In the fast moving world of the fourth industrial revolution not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze and communicate with data.

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 retraining as a data scientist or statistician.

With learnings to show development and real-world examples from industries implementing data literacy skills, this book explains how to confidently read and speak the 'language of data' in the modern business environment and everyday life. 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. Written by a founding pioneer and worldwide leading expert on data literacy, this book empowers professionals with the skills they need to succeed in the digital world.

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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: Begin your data and analytics journey;

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Sujets

Data Visualization

Data Science

Data Analytics

Excel (desambiguación)

Data architecture

Data analysis

Business analyst

ExCeL London

Decision making

Excel

Tableau

Microsoft Excel

Informations

Publié par	Kogan Page
Date de parution	03 mars 2021
Nombre de lectures	4
EAN13	9781789668025
Langue	English
Poids de l'ouvrage	1 Mo

Informations légales : prix de location à la page 0,0743€. Cette information est donnée uniquement à titre indicatif conformément à la législation en vigueur.

Extrait

Praise for Be Data Literate
‘Data literacy is one of the world’s top job skills today and in the future, and Jordan Morrow knows everything there is to know about the topic. If you want to boost the data literacy of yourself or your team, then start with this book!’
Bernard Marr, world-renowned futurist, influencer and thought leader
in business and technology
‘Jordan Morrow is the face of data literacy. In this debut book, his passion for the subject shines through, conveying clear messages on improved data literacy, data-driven strategies and better decision-making. A must-read for data specialists, business executives and more!
Christina Stathopoulos, Data Specialist, Google and Adjunct Professor, IE Business School
‘Get ready for a guided tour on data literacy. Jordan Morrow has put together a must-have book on what it means to be data literate, and provides clear steps to take you on your very own data literacy journey.’
Kate Strachnyi, Founder, Story by Data, DATAcated Academy and DATAcated Conference
‘Data literacy is a popular term in the business world these days, but both the concept and its value are often vaguely articulated. In this engaging and effective book, Jordan Morrow is clear about what the individual needs to know, but he also draws on broad industry experience to map out a strategic path for organizations and teams. Whether you’re an executive wishing your business was better informed, or an individual analyst trying to better explain and persuade with data, you’ll find valuable examples and tactical models here.’
Donald Farmer, Principal, Treehive Strategy
‘Jordan Morrow has created an instant classic. This book highlights why he is called “The Godfather of Data Literacy”. He effectively translates his vast experience and expertise into a playbook that people can use to develop their data literacy skills in a logical and pragmatic manner. From clarity around the steps of the data literacy process to how we can make better, more informed decisions using the power of data, he serves as your guide on the path towards data literacy. Read this book and develop your data superpowers.’
Jason Krantz, Founder and CEO, Strategy Titan
‘Data literacy is not a science or a math skill. It is a life skill, achievable by everyone. This excellent book covers every dimension of data literacy, from being to doing, starting with the most basic human aptitude: being curious! This book will build from there, to data fluency and data brilliance. Everyone can navigate that journey with this remarkably rewarding book.’
Kirk Borne, PhD, Principal Data Scientist, Data Science Fellow, and Executive Advisor, Booz Allen Hamilton
‘Data literacy is an absolutely critical skill for today’s workforce. Not just to meet the current needs, but also to set individuals and organizations up for the future of work. This book gives a thorough understanding of what data literacy is, why it is important today, and how to learn to become more data literate. It is full of very useful and practical tips and strategies that can be applied across both your work and personal life as you interact more with data. I highly recommend this book to anyone looking to learn more about what data literacy is and trying to increase their overall data literacy.’
Kevin Hanegan, Chief Learning Officer, Qlik
Be Data Literate
The Data Literacy Skills Everyone Needs
To Succeed
Jordan Morrow
To my beautiful wife and five wonderful children. Thank you for your support in my journey with data literacy.
Contents List of figures About the author Preface 01 The world of data Data: The world we live in Data: The skills gap Data: Why is there a skills gap? Data: What’s next? Chapter summary Notes 02 The four levels of analytics Data and analytics – there are four levels? The four levels of analytics Level 1: Descriptive analytics Level 2: Diagnostic analytics Level 3: Predictive analytics Level 4: Prescriptive analytics Real-world examples of the four levels of analytics Chapter summary Notes 03 Defining data literacy Characteristic 1: Reading data Characteristic 2: Working with data Characteristic 3: Analysing data Characteristic 4: Communicating with data Chapter summary Notes 04 The data literacy umbrella Data and analytical strategy Data literacy and data science Data literacy and data visualization Data literacy and executive teams Data literacy and culture Data literacy and data quality Data literacy and data governance Data literacy and ethics and regulation Chapter summary Notes 05 Reading and speaking the language of data Reading data Data fluency The data dictionary Reading data and data fluency strategy Organizational example Chapter summary Notes 06 Combining data literacy and the four levels of analytics Data literacy and descriptive analytics Data literacy and diagnostic analytics Data literacy and predictive analytics Data literacy and prescriptive analytics Data literacy and the four levels of analytics – the holistic puzzle Chapter summary Notes 07 The steps of data literacy learning The role of leadership and data literacy learning The role of data and analytical strategy and data literacy learning A data literacy learning framework and approach Learning for the four characteristics of data literacy Learning for a strong data literate culture Other areas of data literacy learning and focus Chapter summary Notes 08 The three Cs of data literacy The first C of data literacy: Curiosity The second C of data literacy: Creativity The third C of data literacy: Critical thinking Reading data Working with data Analyzing data Communicating with data Chapter summary Notes 09 Data informed decision-making Steps of the data informed decision-making framework Step 1: Ask Step 2: Acquire Step 3: Analyze Step 4: Integrate Step 5: Decide Step 6: Iterate Chapter summary and example Notes 10 Data literacy and data and analytical strategy Data driven culture Business intelligence Artificial intelligence Machine learning and algorithms Big data Embedded analytics The Cloud Edge analytics Geo analytics Chapter summary Notes 11 Begin your data and analytics journey COVID-19 and data and analytics Making a recipe Focus on proactive versus reactive analytics Start with the basics The gamification of data and analytics Find something that interests you and run to it Find your why Chapter summary Notes Index
List of figures
FIGURES Figure 2.1 The four levels of analytics puzzle Figure 4.1 The data literacy umbrella Figure 4.2 Visualization: Charles Joseph Minard’s 1869 map of Napoleon’s march on Russia Figure 4.3 Visualization: John Snow’s 1854 Broad Street cholera outbreak map Figure 4.4 Example line chart Figure 5.1 Data fluency in an organization Figure 6.1 London Underground Railways map, 1908 Figure 6.2 Hypothetical US Government spending Figure 6.3 Animal population example Figure 6.4 Qlik filtering example Figure 6.5 John Snow’s cholera visualization, 1854 Figure 8.1 Leadville training plan Figure 8.2 Real estate study example Figure 8.3 John Snow’s cholera visualization, 1854 Figure 8.4 My wife and my mother-in-law Figure 9.1 Data informed decision-making
About the author
Jordan Morrow is known as the ‘Godfather of Data Literacy’. Seen as one of the founders and pioneers of the data literacy movement, Jordan Morrow has a passion to help organizations achieve their data and analytical potential. When not found in the world of data literacy, Jordan Morrow is a family man, happily married with five children. Jordan is also an avid trail and ultra-marathon runner. He can often be found in the mountains near his home.
Preface
There are three types of lies – lies, damn lies, and statistics. 1
This quote, unfortunately misattributed to multiple people, such as Mark Twain, tells the story of our lives right now. We live in a world where statistics, data, information, numbers, words, and so many other things (including pictures at times) are shared to tell us stories and convey information. Is it easy for us to understand all the data and information presented to us on a regular basis? Unfortunately, they are often misused and misrepresented with efficacy. Is there something we can do about this?
I started my journey into the world of data literacy officially in June of 2016, but my first ideas were rolling before then. I have been given the nicknames of the Godfather of Data Literacy and Chief Nerd Officer (I really like the second nickname). Over time, I have developed, improved, and evolved my thinking and thought process around data literacy. This book is here to convey my thoughts and help you on your data literacy, data, and analytics journey.
This book will take a different approach than what you may expect from a book that deals with such topics of data and analytics. For most of us, these topics are not at the top of our list of exciting or thrilling subjects, but to me they are fascinating. I hope to convey to you a strong understanding of the world of data literacy and what you can do to take part in this exciting time where the world is truly data driven. Thank you for taking the time to sit down with me. I hope to spark in you a curiosity and love of data literacy in the hope it will truly impact your life for the better, as it has for me.
Note
1 Anon. (2012) Lies, damned lies and statistics, University of York. Available at: www.york.ac.uk/depts/maths/histstat/lies.htm (archived at perma.cc/4RY4-THZX )
01
The world of data
Have you ever wondered to yourself: what does the future look like? What will the job market be like, and are robots and technology truly going to monopolize and take my job away? What inventions await us, and, maybe most importantly, when will my flying car arrive? The future will always be uncertain, and inventions that shape the future will certainly be things we haven’t even thought of or created yet. It is an undeniable fact that there will be jobs in the future that we can’t begin to imagine.