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dataframed
+4

Enter the #DataFramedChallenge for a chance to be on an upcoming podcast segment.

DataCamp has a podcast challenge to get you on a podcast segment.
Hugo Bowne-Anderson
December 10th, 2018
16
16
r programming
+3

Request for Proposal: Topical Projects for January 2019

Learn how to become a DataCamp project instructor and have your project launch in January 2019.
David Venturi
November 29th, 2018
8
8
r programming
+3

Cathy O'Neil discusses the current lack of fairness in artificial intelligence and much more.

Cathy, the author of Weapons of Math Destruction, will discuss how societal biases are perpetuated by algorithms and how both transparency and auditability of algorithms will be necessary for a fairer future.
Hugo Bowne-Anderson
November 26th, 2018
8
8
learning data science
+2

Wes McKinney discusses data science tool building.

Wes McKinney, Director of Ursa Labs, talks about data science tool building, what it took to get pandas off the ground and how he approaches building “human interfaces to data” to make individuals more productive.
Hugo Bowne-Anderson
November 19th, 2018
10
10
dataframed
+5

Angela Bassa discusses managing data science teams and much more.

Angela Bassa, the Director of Data Science at iRobot, talks about how to get into data science management, how to hire data scientists, and much more.
Hugo Bowne-Anderson
November 12th, 2018
10
10
learning data science
+4

Peter Bull discusses the importance of human-centered design in data science.

Peter Bull, a data scientist for social good and co-founder of Driven Data, talks about the importance of human-centered design in data science.
Hugo Bowne-Anderson
November 5th, 2018
5
5
r programming
+2

New Course: Analyzing Election and Polling Data in R

Learn about our new R course.
Ryan Sheehy
November 1st, 2018
7
7
learning data science
+5

Arnaub Chatterjee discusses artificial intelligence (AI) and machine learning (ML) in healthcare.

Arnaub, a Senior Expert and Associate Partner in the Pharmaceutical and Medical Products group at McKinsey & Company, discusses cutting through the hype about artificial intelligence (AI) and machine learning (ML) in healthcare.
Hugo Bowne-Anderson
October 29th, 2018
10
10
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