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Courses/Training on Data Mining, Analytics,
and Data Science |
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Past |
Jun |
Jul |
Aug |
Sep |
Oct |
Nov |
Dec |
On-demand
June 2013
| When | Event |
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| Jun 3 |
Analytics: Putting It All to Work,
by Bart Baesens and SAS
Chicago, IL, USA.
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Jun 7
- Jul 5 |
Text Mining. This course will introduce the essential techniques of text mining, understood here as the extension of data mining's standard predictive methods to unstructured text. by Nitin Indurkhya
online at statistics.com |
| Jun 10 |
R FOR PREDICTIVE MODELING: A HANDS-ON INTRODUCTION.. This one day session at
Predictive Analytics World Chicago provides a hands-on introduction to R, the well-known open-source platform for data analysis. Real examples are employed in order to methodically expose attendees to best practices driving R and its rich set of predictive modeling packages. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer.
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| Jun 11-14 (four half-day sessions) |
Exploratory Analysis for Large and Complex Problems Using SAS Enterprise Miner.
Presented by SAS, Live Web
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| Jun 13 |
MODELING METHODS: THE BEST AND THE WORST OF PREDICTIVE ANALYTICS.. A full-day workshop at Predictive Analytics World Chicago provides the key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits. Instructor: John Elder, Ph.D., CEO and Founder, Elder Research.
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| Jun 14 |
ADVANCED METHODS HANDS-ON: PREDICTIVE MODELING TECHNIQUES.. This is a full day workshop at Predictive Analytics World Chicago. Dive into the key predictive analytics algorithms for supervised learning, including decision trees, linear and logistic regression, neural networks and more. Instructor: Dean Abbott, President, Abbott Analytics.
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| Jun 18-19 |
Introduction to Data Mining and Predictive Analytics with RapidMiner,
two-day training course compact introduction into the foundations of data mining and business analytics and into RapidMiner.
Boston, MA, USA.
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| Jun 20-21 |
Advanced Text and Web Mining Techniques with RapidMiner and RapidAnalytics, intermediate-level training course - an introduction into knowledge discovery from unstructured data like text documents, with focus on the necessary preprocessing steps and the most successful methods for automatic text classification (including Naive Bayes and Support Vector Machines, SVM) and text clustering.
Boston, MA, USA.
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| Jun 20-21 |
TRANSFORMING DATA TO DECISIONS: A Roadmap to Revenue for Data Analytics [NEW], by The Modeling Agency
Denver, CO
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| Jun 24-25 |
Net Lift Models: Optimizing the Impact of Your Marketing Efforts.
Presented by SAS, New York, NY
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| Jun 24-28 |
Predictive Analytics & Data Mining: Model Development (MD) and Strategic Implementation (SI),
by The Modeling Agency
Denver, CO.
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Jun 24
- Jul 5 |
Summer School on Advanced Statistics and Data Mining, Madrid, Spain.
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| Jun 26-27 |
Analytics: Putting It All to Work,
by Bart Baesens and SAS
Live web
|
| Jun 26-28 |
Data Mining Techniques: Theory and Practice .
Presented by SAS, San Francisco, CA
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Jun 28
- Jul 26 |
Data Mining in R,
taught by Luis Torgo, author of best selling text, Data Mining with R
online at statistics.com
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| On-Demand June |
PREDICTIVE ANALYTICS APPLIED - AN ONLINE INTRODUCTION. New to predictive analytics? Take this 5.5 hour online course to ramp up before Predictive Analytics World Chicago.. On-demand at any time - start now for 3 months access of self-paced e-learning at your convenience. Instructor: Eric Siegel, Ph.D., Conference Chair, Predictive Analytics World.
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July 2013
August 2013
| When | Event |
|---|
| Aug 1-2 |
TRANSFORMING DATA TO DECISIONS: A Roadmap to Revenue for Data Analytics [NEW], by The Modeling Agency
San Jose, CA
|
| Aug 5-9 |
Predictive Analytics & Data Mining: Model Development (MD) and Strategic Implementation (SI),
by The Modeling Agency
San Jose, CA
|
| Aug 15-16 |
Exploratory Analysis for Large and Complex Problems Using SAS Enterprise Miner,
SAS and Jeff Zeanah
San Francisco, CA
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Aug 23
- Sep 20 |
Introduction to Optimization,
taught by Cliff Ragsdale, author of Spreadsheet Modeling and Decision Analysis: A Practical Introduction - Management Science
online at statistics.com
|
| Aug 29-30 |
Text Analytics and Sentiment Mining Using SAS,
Presented by Goutam Chakraborty, Ph.D., professor of marketing and founder of the SAS and Oklahoma State University Data Mining Certificate Program
New York, NY
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Aug 30
- Sep 20 |
Sentiment Analysis. Sentiment Analysis refers to the process of identifying, extracting and classifying opinions in text segments. With the rise of social media and the ability of end-users to express and share their personal views easily, the need to automatically gauge user-sentiment has become increasingly important for CRM, online advertising and brand analysis. by Nitin Indurkhya
online at statistics.com |
September 2013
| When | Event |
|---|
| Sep 3-6 |
Exploratory Analysis for Large and Complex Problems Using SAS Enterprise Miner,
SAS and Jeff Zeanah
Live Web (four half-day sessions)
|
| Sep 6 - Oct 4 |
Introduction to Predictive Modeling. This course covers the two core paradigms that account for most business applications of predictive modeling: classification and prediction. The course includes hands-on work with XLMiner, a data-mining add-in for Excel. by Tony Babinec
online at statistics.com |
| Sep 12-13 |
San Diego Supercomputing Predictive Analytics Center of Excellence (PACE) Data Mining Boot Camp 1, San Diego, CA, USA.
|
Sep 13
- Oct 11 |
Forecasting,
taught by Galit Shmueli, co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab
online at statistics.com
|
| Sep 17-19 |
TRANSFORMING DATA TO DECISIONS: A Roadmap to Revenue for Data Analytics [NEW], by The Modeling Agency
Washington, DC area
|
| Sep 23-27 |
Predictive Analytics & Data Mining: Model Development (MD) and Strategic Implementation (SI),
by The Modeling Agency
Washington, DC area
|
| Sep 29 |
R FOR PREDICTIVE MODELING: A HANDS-ON INTRODUCTION. This full-day session at
Predictive Analytics World Boston provides a hands-on introduction to R, the well-known open-source platform for data analysis. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer.
Boston, MA, USA.
|
October 2013
| When | Event |
|---|
| on-demand |
PREDICTIVE ANALYTICS APPLIED - AN ONLINE INTRODUCTION. New to predictive analytics? Take this 5.5 hour online course to ramp up before Predictive Analytics World Boston. On-demand at any time - start now for 3 months access of self-paced e-learning at your convenience. Instructor: Eric Siegel, Ph.D., Conference Chair, Predictive Analytics World.
|
| Oct 2 |
SUPERCHARING PREDICTION: HANDS-ON WITH ENSEMBLE MODELS, a full day workshop at
Predictive Analytics World Boston. Once you know the basics of predictive analytics including data exploration, data preparation, modeling building, and model evaluation, what can be done to improve model accuracy? One key technique is the use of model ensembles, which "groups" or "rolls up" models into a single, usually-better model. Instructor: Dean Abbott, President, Abbott Analytics.
Boston, MA, USA.
|
| Oct 2 |
MODELING METHODS: THE BEST AND THE WORST OF PREDICTIVE ANALYTICS. A full-day workshop at
Predictive Analytics World Boston provides the key inner workings of leading algorithms, demonstrate their performance with business case studies, comparison of merits and show you how to pick the method and tool best suited to each predictive analytics project. Instructor: John Elder, Ph.D., CEO and Founder, Elder Research.
Boston, MA, USA
|
| Oct 2 |
MAKING TEXT MINING WORK: PRACTICAL METHODS AND SOLUTIONS. This full day workshop at
Predictive Analytics World Boston surveys standard and advanced methods for text mining, and describes the key inner workings of leading algorithms, demonstrates their performance and case studies. Methods covered include search indexes, text classification, information extraction, document similarity and more. Instructor: Andrew Fast, Director of Research, Elder Research, Inc.
Boston, MA, USA
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| Oct 3 |
ADVANCED METHODS HANDS-ON: PREDICTIVE MODELING TECHNIQUES. This is a full day workshop at Predictive Analytics World Boston. Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software. Instructor: Dean Abbott, President, Abbott Analytics.
Boston, MA, USA.
|
| Oct 3-4 |
Text Analytics and Sentiment Mining Using SAS,
Presented by Goutam Chakraborty, Ph.D., professor of marketing and founder of the SAS and Oklahoma State University Data Mining Certificate Program
Chicago, IL, USA.
|
Oct 11
- Nov 8 |
Data Mining - Unsupervised Techniques,
taught by Anthony Babinec, president of AB Analytics
online at statistics.com
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Oct 25
- Nov 22 |
Interactive Data Visualization,
taught by Galit Shmueli, co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab
online at statistics.com
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November 2013
December 2013
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