Dapper Data
A podcast by Dapper Data
Categories:
97 Episodes
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Machine Learning in the Film Industry - Episode #97 w/ Ruslan Khamidullin
Published: 6/26/2023 -
AI in the Digital Marketing Space and Nerding Out - Episode #96 w/ David Forman
Published: 6/22/2023 -
Google Analytics 4 and Passion of Data - Episode #95 w/ Alex Oliveira aka Dadpreneur
Published: 6/21/2023 -
Digital Marketing and Data Drive Decision Making - Episode #94 w/ Hernan Vazquez
Published: 6/21/2023 -
Start Your Career in Data Analytics - Episode #93 w/Kalpesh - Part 2
Published: 4/14/2023 -
Start Your Career in Data Analytics - Episode #92 w/Kalpesh - Part 1
Published: 4/14/2023 -
AI Automation in the Office - Episode #91 w/Ozan Bilgen
Published: 3/23/2023 -
Data Sharing and Data Bias - Episode #90 w/Pierre Brunelle
Published: 3/23/2023 -
AI Impact on Data Resources - Episode #89 w/William Mcknight
Published: 3/20/2023 -
The Role of Data Analytics in Identity Management - Episode #88 w/Kevin Dominik Korte
Published: 3/19/2023 -
The Financial Industry and Data - Episode #87 w/Mark Willis Part 2
Published: 3/18/2023 -
The Financial Industry and Data - Episode #86 w/Mark Willis Part 1
Published: 3/18/2023 -
System Metadata Used for Tamper Proof Videos - Episode #85 w/Peter Sisson
Published: 3/15/2023 -
Data, 3D Printing and Gaming- Episode #84 w/Beau Button
Published: 2/22/2023 -
Head of Data Speaks on Diversity and Inclusiveness in Data - Episode #83 w/David Sepulveda
Published: 2/22/2023 -
Machine Learning Engineer or Data Scientist - Episode #82 w/Ananda Soundhararajan
Published: 2/1/2023 -
Scale your Entrepreneurial BIZ with Data - Episode #81 w/Nicky Billou
Published: 2/1/2023 -
Boost Sales with Data - Episode #80w/Matt Ranta
Published: 2/1/2023 -
Scientific Research and Misinformation - Episode #79 w/Eric Olson
Published: 2/1/2023 -
The Future of Data Warehousing!! - Episode #78 w/Aron Clymer
Published: 1/13/2023
This podcast provides knowledge sharing for data-driven listeners interested in understanding how data impacts the world in many ways . There are so many aspects to data (i.e. programming, statistics, machine learning, artificial intelligence, data visualizations, and more), but there is also the everyday data side (i.e. social media, money, sex, love, diseases, sports and more). I am touching on each and every one of them in a Dapper kind of way.