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| Der Titel des Buches | Storytelling with Data: A Data Visualization Guide for Business Professionals |
| Veröffentlichungsdatum | |
| Sprache | Deutsch |
| ISBN-10 | 6818911995-TGV |
| Digital ISBN | 259-1258312442-NGY |
| Schöpfer | Anny Speidel |
| Übersetzer | Udonna Faakhir |
| Seitenzahl | 910 Pages |
| Editor | Alma Neubauer |
| E-Book Format | EPub PDF AMZ HWP WRD |
| Dateigröße | 5.68 MB |
| Dateinamen | Storytelling with Data: A Data Visualization Guide for Business Professionals.pdf |
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Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or ...
storytelling with data: a data visualization guide for business professionals. Best Seller on Amazon: ORDER NOW! THE EXPANDED FOLLOW UP… storytelling with data: let’s practice! 400+ pages of content & exercises: ORDER NOW! Don't simply show your data—tell a story with it! storytelling with data teaches you the fundamentals of data visualization and how to communicate effectively with ...
Based on the strategies covered in the best-selling book, storytelling with data: a data visualization guide for business professionals, and applied through exercises from the follow-up, storytelling with data: let’s practice!, this engaging workshop teaches the fundamentals of effective visualization, with emphasis on building a compelling narrative around the information you want to ...
Data visualization beginner's guide: a definition, examples, and learning resources . Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. In the world of Big Data, data visualization tools and ...
Data visualization (often abbreviated data viz) is an interdisciplinary field that deals with the graphic representation of is a particularly efficient way of communicating when the data is numerous as for example a Time an academic point of view, this representation can be considered as a mapping between the original data (usually numerical) and graphic elements (for ...
Storytelling with Data: A Data Visualization Guide for Business Professionals. Cole Nussbaumer Knaflic. 4.6 out of 5 stars 2,046. Paperback #1 Best Seller in Information Management. $19.49. Data Science from Scratch: First Principles with Python. Joel Grus. 4.5 out of 5 stars 380. Paperback. $32.36. Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python. Peter ...
Or, if you're looking to learn more about data visualization in general, be sure to check out our detailed guide to data visualization or check out some of our favorite examples. 1. Storytelling with Data. Run by: Cole Nussbaumer Knaflic Website link: Data visualization exists, in large part, to help create a compelling ...
Whether you are a data analyst looking to communicate more effectively, or a business leader looking to build data literacy, you will finish this program able to use data effectively in visual stories and presentations. Data presentation and persuasion are among the top ten most in-demand skills, according to LinkedIn. Bridge the gap between business and data. Create clear and impactful data ...
What data scientists do. We now know how data science works, at least in the tech industry. First, data scientists lay a solid data foundation in order to perform robust analytics. Then they use ...
Visualization and explorative data analysis for business users (known as data discovery) have evolved into the hottest business intelligence and analytics topic in today’s market. 2,800 BI professionals confirmed its importance for the second year in a row in BARC’s BI Trend Monitor 2017.. In this article, we will explain our view on data discovery and its value for companies.