Explore the human side of data science with the Let's Make it Count podcast.
Let's Make it Count, an initiative from UC Berkeley and the West Big Data Hub, encourages the next-generation to understand their community and the world through data.
Through funding from the National Science Foundation, this initiative is hosting the National Census Data Challenge for high-school students.
Thu Ya Kyaw & Koo Ping Shung
Trisha Mahoney, Will Roberts, Paco Nathan
Data Transformers Podcast
greatdataminds
Qlik
None
Jon Krohn and Guests on Machine Learning, A.I., and Data-Career Success
Wendy Gannon
Samir Sharma
Uttkarsh Kohli
Daliana Liu
BEPEC
Data as a Product Podcast Network
Misra Turp
Dataiku
Rich Miller
DataCamp
Dan Linstedt
DataTalks.Club
Richmond Alake
Eckerson Group
School of Data
Profisee
Sandeep Uttamchandani
data.world
Trey Simmons
Loris Marini
Michael Waitze Media
Dikayo Data
Travis Lawrence
Rina Gami
Ascend.io
KPMG LLP (U.S.)
Formulatedby
https://datascience.salon/elevate/voices/ -->Aaron Gallant
EM360
None
Collibra
unlockthevalue
Alation
Mico Yuk | Keynote Speaker, Author, Coach, TV News Commentator, Comm. Mgr
InterSystems
Amos Doornbos
George Firican
Charlie Yielding and Charlie Apigian
O'Reilly Radar
Columbia Data Science Institute Student Council
None
edureka!
WIBD Brussels
Dr. Usama Fayyad
Deepnote
Shaun Dippnall | Solid Gold Podcasts #BeHeard
Dat Science Salon
IEEE Big Data
D Cube Analytics
Data Feminism Network
Naked Data Science
Prasad
Prasad
Alteryx
The Open University
Max Goff
Anchormen
Kate Strachnyi
Canvas
Domino Data Lab
Dr. R. A. Leo Elworth
The Open Data Institute
Kseniya K
OvalEdge
with Sam Ramji
Ternary Data
Hannah Chen
Half Stack Data Science
AI Guild
Trifacta
Lawrence Harvey
Data Centre Dave
CDO Magazine
Andreas Kretz
Rockset
Liudmila Konyushina
None
Ted Hallum
Joel Grus
Pragmatic Institute
Akash Bhagat
Soda Data | soda.io
The Data Dig
MetaLogic Consulting
Sachin Tonk
Julien Redmond
Syntio
Fireblaze AI School
Telehouse America
Shannon Sheridan and Briana Ezray Wham
Texere Publishing
Relational Insights Data Lab (RIDL) at Griffith University