2013 Dec Courses and Events: Analytics, Big Data, Data Mining and Data Science

More people than ever are interested in how big data and analytics can give them an edge. Watch the panelists, Gregory Piatetsky-Shapiro, Editor of KDNuggets, and Michael Karasick, VP of research in IBM acclaimed Almaden Research as they delve into these topics and give us a look at what they think will be the hottest topics and developments of 2014.

Predictive analytics professionals will not want to miss the PAW keynote speakers. Register by Jan 24 with Early Bird Pricing and get the best deal on analytics networking.

Webinar: Introducing Angoss ScorecardBUILDER(TM) - accelerate scorecard development by 50%+ with automated workflow and Weight of Evidence optimizer.

The course features video lectures by Professor Ian H. Witten, with English & Chinese subtitles, open-source Weka data mining platform. What were the most interesting lectures?

Novel and interesting use cases of Oracle Big Data, Exadata, Advanced Analytics/Data Mining, Endeca; opportunities to get hands-on experience; great customer case studies and more.

SAS Business Knowledge Series offers courses by top industry experts on latest business practices, concepts, and techniques.

Learn how to get started with predictive modeling and overcome strategic and tactical limitations that cause data mining projects to fall short of their potential. Next webinar is Dec 18.

Get up to speed in data mining faster and more effectively than with any other training program available. Next courses in Orlando and LA.

The MS in Predictive Analytics at DePaul University addresses the growing demand for data scientists with 4 timely and in-demand concentrations: Marketing, Computational Methods, Hospitality, and Health-Care Analytics.

Predictive analytics professionals will be beating down the doors of this international conference to hear from PAW keynote speakers. Dont miss your chance to save on PAW registration - register by Jan 24 with Early Bird Pricing.

This certificate program brings together the computational, analytical and communication skills necessary to discover and implement data-supported solutions to business questions. Classes run Feb 13-May 22.

A good collection of open source resources for Data Science Masters Curriculum, covering Math, Algorithms, Databases, Data Mining, Machine Learning, Natural Language Processing, Data Analysis and Visualization, and Python.

27 upcoming meetings in Dec 2013 - Mar 2014, including Text Analytics Summit West, ICDM 13, Oracle BIWA, PAW San Francisco, and INFORMS in Boston.