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Listen to Data Chats on

Podcast

Lost in Translation: Overcoming Communication Barriers Between Data and Business Teams

“Data helps businesses understand their customers more, sell to them more and give them more relevant communications when they want to talk to them. It allows them to develop that relationship and to become that customer’s first choice.”-      Natash...
Category: Data Science
Podcast

Data Visualizations Could Be the Difference Between Your Data Insights Getting Heard or Ignored

“What really helps is if you just have one main goal for the [data] project. Know who your audience is and what your success criteria is. That's really going to put you head and shoulders ahead of everybody else, and it's going to make the project so...
Category: Data Science
Promo Graphic for Data Chats Podcast by Pragmatic Institute and The Data Incubator
Podcast

Bridging the Great Divide Between Data Teams and Business Leaders with Jeremy Adamson

“They want to understand what’s happening. They want a very clear connection between the model that you’re doing and the business outcome. They want to know that you’ve considered all of the operational risks with
Podcast

Data Science Ethics: What it Means and Why it Matters

This session features The Data Incubator instructor Ana Hocevar, who discusses what data ethics means and why it matters.   Nowadays, data is used to deliver insights and drive business decisions, but while that can improve revenue, reduce costs, cre...
Category: Data Science
Podcast

Learning Data Analysis Via Case Studies From A Leading Textbook Author

“We also wanted to use the textbook to talk about important social issues [like] why do men make more than women? And so, one case study is about understanding the gender gap in the US and why is there a 15, 20% difference in earnings.”- Gábor Békés ...
Category: Data Science
Podcast

Organizational Changes to Improve Machine Learning Success at Your Company

“Even if you don't drink one bit of the A.I. Kool-Aid and you're a senior expert practitioner in machine learning, when you're trying to start a new initiative at your corporation, you're still very liable to make this extremely prevalent mistake tha...
Category: Data Science

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