| Description |
1 online resource (xxiii, 247 pages) : illustrations |
| Physical Medium |
black and white |
|
monochrome rdacc |
|
illustration rdaill |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
How to improve your data fluency : overcome your analytics anxiety -- Making sense of statistics : achieving an overall view of your data -- Modelling the world with data : predicting outcomes -- Understanding complex relationships : asking for the when and why -- Segmenting the world : differences that make a difference -- Detecting data distortions : analytics biases that everyone should know -- Asking the right questions about data -- How to visually design your data : a chart guide -- Data storytelling canvas : five magic ingredients for presenting data -- Working with analytics software in front of others -- Delivering bad news with data : how to turn frustration into motivation -- Handling data disagreements : argue with and about data -- What's next? Sustaining your data fluency. |
| Summary |
"Our aim with this book is to empower you to build a skill called data fluency and to lead high quality analytics conversations with diverse groups of people in your organization. We believe that our highly visual approach and our use of vivid, real-life dialogues and simple, varied examples will speed up your learning progress and make your journey to data fluency a more seamless - and hopefully entertaining - one"-- Provided by publisher. |
| Subject |
Information visualization.
|
|
Computer literacy.
|
|
Communication in information science.
|
|
Quantitative research.
|
|
Visualisation de l'information. |
|
Connaissances en informatique. |
|
Communication en sciences de l'information. |
|
Recherche quantitative. |
|
Communication in information science |
|
Computer literacy |
|
Information visualization |
|
Quantitative research |
| Added Author |
Bünzli, Fabienne, author.
|
| Other Form: |
Print version: Eppler, Martin J., 1971- How to talk about data. First edition. Harlow, England ; London ; New York : Pearson, 2022 9781292421193 (DLC) 2022012680 (OCoLC)1316703061 |
| ISBN |
9781292421209 (ePub) |
|
1292421207 (ePub) |
|
9781292421216 (PDF) |
|
1292421215 (PDF) |
|
(paperback) |
|
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