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KDnuggets Home » News » 2014 » Jul » Webcasts » Upcoming Webcasts on Analytics, Big Data, Data Science – July 29 and beyond ( 14:n19 )

Upcoming Webcasts on Analytics, Big Data, Data Science – July 29 and beyond


Applications in R, Data-Driven Business, The Grammar and Graphics of Data Science, Data Mining: Failure To Launch, Hadoop and the Relational Database, and more.



Here are upcoming webcasts on Analytics, Big Data, Data Science and Data Mining for July 29 and later.

See full schedule at www.kdnuggets.com/webcasts/index.html .

WhenEvent
Jul 29
10 am PT
1 pm ET
Applications in R: Success and Lessons Learned from the Marketplace, by Revolution Analytics.
Jul 29
1 pm PT
4 pm ET
Take Action - The New Reality of Data-Driven Business, The Briefing Room with Dr. Robin Bloor and WebAction.
Jul 30
8 am PT
11 am ET
The Grammar and Graphics of Data Science, by RStudio.
Jul 30
10 am PT
1 pm ET
Analyzing Product Perception and Brand Sentiment with Big Data Tools, by MetaScale.
Jul 30
10 am PT
1 pm ET
Breaking Down Barriers for Predictive Analytics, by Michael Zeller, CEO Zementis and Steven Hillion, CPO Alpine Data Labs.
Jul 31
8 am PT
11 am ET
What Works: Data Management Success in the Era of Big Data, by IIA and SAS.
Jul 31
1 pm PT
4 pm ET
TMA DATA MINING: FAILURE TO LAUNCH - How to Get Predictive Modeling Off the Ground and Into Orbit, by The Modeling Agency.
Aug 5
1 pm PT
4 pm ET
Hadoop and the Relational Database: The Best of Both Worlds, The Briefing Room with Dr. Robin Bloor and Splice Machine.
Aug 6
10 am PT
1 pm ET
The Modern Data Architecture for Smart Manufacturing Operations, by Hortonworks.
Aug 6
1 pm PT
4 pm ET
Tech Lab Series: From Zero to Enterprise Data Hub, Inside Analysis, Episode I: Lock & Load, Featuring Dr. Geoffrey Malafsky.
Aug 7
10 am PT
1 pm ET
Moving from SAS to R, by Revolution Analytics.
Aug 19
8 am PT
11 am ET
TMA DATA MINING: FAILURE TO LAUNCH - How to Get Predictive Modeling Off the Ground and Into Orbit, by The Modeling Agency.
Aug 20
10 am PT
1 pm ET (120 mins)
Data Science at the Command Line, by Jeroen Janssens, using Data Science Toolbox, a free, open-source virtual environment.

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