Dapper Data
En podkast av Dapper Data

Kategorier:
97 Episoder
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Machine Learning in the Film Industry - Episode #97 w/ Ruslan Khamidullin
Publisert: 26.6.2023 -
AI in the Digital Marketing Space and Nerding Out - Episode #96 w/ David Forman
Publisert: 22.6.2023 -
Google Analytics 4 and Passion of Data - Episode #95 w/ Alex Oliveira aka Dadpreneur
Publisert: 21.6.2023 -
Digital Marketing and Data Drive Decision Making - Episode #94 w/ Hernan Vazquez
Publisert: 21.6.2023 -
Start Your Career in Data Analytics - Episode #93 w/Kalpesh - Part 2
Publisert: 14.4.2023 -
Start Your Career in Data Analytics - Episode #92 w/Kalpesh - Part 1
Publisert: 14.4.2023 -
AI Automation in the Office - Episode #91 w/Ozan Bilgen
Publisert: 23.3.2023 -
Data Sharing and Data Bias - Episode #90 w/Pierre Brunelle
Publisert: 23.3.2023 -
AI Impact on Data Resources - Episode #89 w/William Mcknight
Publisert: 20.3.2023 -
The Role of Data Analytics in Identity Management - Episode #88 w/Kevin Dominik Korte
Publisert: 19.3.2023 -
The Financial Industry and Data - Episode #87 w/Mark Willis Part 2
Publisert: 18.3.2023 -
The Financial Industry and Data - Episode #86 w/Mark Willis Part 1
Publisert: 18.3.2023 -
System Metadata Used for Tamper Proof Videos - Episode #85 w/Peter Sisson
Publisert: 15.3.2023 -
Data, 3D Printing and Gaming- Episode #84 w/Beau Button
Publisert: 22.2.2023 -
Head of Data Speaks on Diversity and Inclusiveness in Data - Episode #83 w/David Sepulveda
Publisert: 22.2.2023 -
Machine Learning Engineer or Data Scientist - Episode #82 w/Ananda Soundhararajan
Publisert: 1.2.2023 -
Scale your Entrepreneurial BIZ with Data - Episode #81 w/Nicky Billou
Publisert: 1.2.2023 -
Boost Sales with Data - Episode #80w/Matt Ranta
Publisert: 1.2.2023 -
Scientific Research and Misinformation - Episode #79 w/Eric Olson
Publisert: 1.2.2023 -
The Future of Data Warehousing!! - Episode #78 w/Aron Clymer
Publisert: 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.