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637: How to Influence Others with Your Data

637: How to Influence Others with Your Data

FromSuper Data Science: ML & AI Podcast with Jon Krohn


637: How to Influence Others with Your Data

FromSuper Data Science: ML & AI Podcast with Jon Krohn

ratings:
Length:
68 minutes
Released:
Dec 20, 2022
Format:
Podcast episode

Description

It's all about data visualization this week as Jon Krohn welcomes Ann K. Emery, data visualization designer and owner of Depict Data Studio, to the show. If you want to learn data viz best practices, tips and tricks and reporting how-tos, make some time to tune in today!
This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:• What data storytelling is [3:40]• Pinpoints of data visualization [10:38]• Best practices for data visualization [23:41]• Surprising spreadsheet tricks [30:51]• When static dashboards are more effective than interactive ones [43:30]• Ann's top tips for presenting data in a slideshow [48:07]
Additional materials: www.superdatascience.com/637
Released:
Dec 20, 2022
Format:
Podcast episode

Titles in the series (100)

The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.