Dapper Data
Un pódcast de Dapper Data
Categorías:
97 Episodo
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Machine Learning in the Film Industry - Episode #97 w/ Ruslan Khamidullin
Publicado: 26/6/2023 -
AI in the Digital Marketing Space and Nerding Out - Episode #96 w/ David Forman
Publicado: 22/6/2023 -
Google Analytics 4 and Passion of Data - Episode #95 w/ Alex Oliveira aka Dadpreneur
Publicado: 21/6/2023 -
Digital Marketing and Data Drive Decision Making - Episode #94 w/ Hernan Vazquez
Publicado: 21/6/2023 -
Start Your Career in Data Analytics - Episode #93 w/Kalpesh - Part 2
Publicado: 14/4/2023 -
Start Your Career in Data Analytics - Episode #92 w/Kalpesh - Part 1
Publicado: 14/4/2023 -
AI Automation in the Office - Episode #91 w/Ozan Bilgen
Publicado: 23/3/2023 -
Data Sharing and Data Bias - Episode #90 w/Pierre Brunelle
Publicado: 23/3/2023 -
AI Impact on Data Resources - Episode #89 w/William Mcknight
Publicado: 20/3/2023 -
The Role of Data Analytics in Identity Management - Episode #88 w/Kevin Dominik Korte
Publicado: 19/3/2023 -
The Financial Industry and Data - Episode #87 w/Mark Willis Part 2
Publicado: 18/3/2023 -
The Financial Industry and Data - Episode #86 w/Mark Willis Part 1
Publicado: 18/3/2023 -
System Metadata Used for Tamper Proof Videos - Episode #85 w/Peter Sisson
Publicado: 15/3/2023 -
Data, 3D Printing and Gaming- Episode #84 w/Beau Button
Publicado: 22/2/2023 -
Head of Data Speaks on Diversity and Inclusiveness in Data - Episode #83 w/David Sepulveda
Publicado: 22/2/2023 -
Machine Learning Engineer or Data Scientist - Episode #82 w/Ananda Soundhararajan
Publicado: 1/2/2023 -
Scale your Entrepreneurial BIZ with Data - Episode #81 w/Nicky Billou
Publicado: 1/2/2023 -
Boost Sales with Data - Episode #80w/Matt Ranta
Publicado: 1/2/2023 -
Scientific Research and Misinformation - Episode #79 w/Eric Olson
Publicado: 1/2/2023 -
The Future of Data Warehousing!! - Episode #78 w/Aron Clymer
Publicado: 13/1/2023
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.