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Past 2013 Courses on Analytics and Data Mining |
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2012 Courses |
Jan |
Feb |
Mar |
Apr |
May |
January 2013
| When | Event |
|---|
| Jan 11 - Feb 8 |
Data Mining in R. The main goal of this course is to teach users how to perform data mining tasks using R. The course follows a learn by doing it strategy, where data mining topics are introduced as needed when addressing a series of real world data mining case studies. by Luis Torgo
online at statistics.com |
| Jan 18 - Feb 17 |
Decision Trees and Rule-Based Segmentation. Rule induction is an important component of data mining, and this course covers two main styles of generating rules. by Tony Babinec
online at statistics.com |
| Jan 23-24 |
PACE Data Mining Boot Camp 1, hands-on course emphasizing key learning techniques: classification, regression, association rules, and clustering.
San Diego, CA |
| Jan 31 - Feb 1 |
Bringing Customer Lifetime Value to Life: Practical Methods and Applications.
Customer Lifetime Value (CLV) is a critical concept for virtually every organization that wants to be customer centric. This workshop helps clarify key issues and shows how to compute and utilize CLV in a practical business setting.
Wharton Executive Education, San Francisco, CA, USA. |
| Jan 31 - Feb 1 |
Data Analysis Boot Camp, What You Really Need to Know About Transporting Data to Decisions, by The Modeling Agency
Orlando, FL, USA.
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February 2013
| When | Event |
|---|
| Feb 4 |
Accounts Receivable Recovery and Collections Analytics,
by Dr. Mamdouh Refaat, Vice President and Chief Data Scientist, Angoss, online.
|
| Feb 4-8 |
Predictive Analytics & Data Mining: Model Development (MD) and Strategic Implementation (SI),
by The Modeling Agency
Orlando, FL, USA.
|
| Feb 7-8 |
PACE Data Mining Boot Camp 2, hands-on course emphasizing advanced learning techniques including Neural Nets, SVM, Text Mining, Collaborative Filtering, Bayesian Networks and Temporal Data Mining. San Diego, CA
|
| Feb 25 |
Accounts Receivable Recovery and Collections Analytics,
by Dr. Mamdouh Refaat, Vice President and Chief Data Scientist, Angoss, online.
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March 2013
| When | Event |
|---|
| Mar 9 |
Practical Data Visualization with R, SFBay ACM course, presented by Robert Kabacoff, the author of the book "R in Action", San Jose, CA, USA. |
| Mar 14-15 |
State-of-the-Art Statistical Methods for Data Analysis, Ten Hot Ideas for Learning from Data, by Trevor Hastie and Robert Tibshirani (Stanford University), Palo Alto, CA, USA. |
| March 18 |
ADVANCED METHODS HANDS-ON: PREDICTIVE MODELING TECHNIQUES. This is a full day workshop at Predictive Analytics World Toronto. Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software. Instructor: Dean Abbott, President, Abbott Analytics.
|
| March 19 |
MODELING METHODS: THE BEST AND THE WORST OF PREDICTIVE ANALYTICS. A full-day workshop at Predictive Analytics World Toronto 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.
|
| Mar 19-20 |
Analytics: Putting It All to Work,
by Bart Baesens and SAS
Live web
|
| Mar 29 - Apr 26 |
Forecasting,
taught by Galit Shmueli, co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab
online at statistics.com
|
| March - 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 Toronto. 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.
|
| Mar 30 - Apr 27 |
Forecasting Analytics. This course will teach you how to choose an appropriate time series model, fit the model, to conduct diagnostics, and use the model for forecasting. by Galit Shmueli
online at statistics.com |
April 2013
| When | Event |
|---|
| Apr 5 - May 3 |
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 |
| Apr 5-6 |
Data Mining, A 2-Day Course,
Robert Stine, Ph.D. and Statistical Horizons
Philadelphia, PA
|
| Apr 8-10 |
Data Mining: Principles and Best Practices.
Presented by SAS, Chicago, IL
|
Apr 12
- May 10 |
R Programming - Introduction,
taught by Joris Meys, co-author (with Andrie de Vries) of R for Dummies
online at statistics.com
|
| Apr 15-19 |
Predictive Analytics & Data Mining: Model Development (MD) and Strategic Implementation (SI),
by The Modeling Agency
Las Vegas, NV
|
| Apr 14 |
R FOR PREDICTIVE MODELING: A HANDS-ON INTRODUCTION. This full-day session at
Predictive Analytics World San Francisco
provides a hands-on introduction to R, the well-known open-source platform for data analysis. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer.
|
| Apr 16 |
MAKING TEXT MINING WORK: PRACTICAL METHODS AND SOLUTIONS. This full day workshop at Predictive Analytics World San Francisco 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.
|
| Apr 16 |
MAPPING GROUPS OF PEOPLE AND WHAT THEY ARE TALKING ABOUT IN SOCIAL MEDIA. This three hour workshop at
Predictive Analytics World San Francisco provides a quick end-to-end guide to creating a social media network map with content analysis using free and open tools demonstrating how text from social media can be clustered by applying social network techniques. Instructor: Marc A. Smith, Ph.D., Chief Social Scientist, Connected Action Consulting Group.
|
| Apr 17 |
SUPERCHARGING PREDICTION: HANDS-ON WITH ENSEMBLE MODELS. This full day workshop at
Predictive Analytics World San Francisco dives into the key ensemble approaches for Bagging, Random Forests, and Stochastic Gradient Boosting, including learning how to automate the building of ensembles by changing key parameters. Instructor: Dean Abbott, President, Abbott Analytics.
|
| Apr 17 |
MODELING METHODS: THE BEST AND THE WORST OF PREDICTIVE ANALYTICS. A full-day workshop at Predictive Analytics World San Francisco 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.
|
| Apr 18 |
ADVANCED METHODS HANDS-ON: PREDICTIVE MODELING TECHNIQUES. This is a full day workshop at Predictive Analytics World San Francisco. 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.
|
| Apr 19-20 |
NET LIFT MODELS: OPTIMIZING THE IMPACT OF YOUR MARKETING. This is a 2 day workshop at Predictive Analytics World San Francisco. This workshop demonstrates how to build Net Life Models that optimize the incremental impact of marketing campaigns, covering the pros and cons of various core analytical approaches. Instructor: Kim Larsen, Vice President, Analytical Insights, MarketShare.
|
| Apr 22-23 |
Net Lift Models: Optimizing the Impact of Your Marketing Efforts.
Presented by SAS, Chicago, IL
|
Apr 26
- May 24 |
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
|
| Apr 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 San Francisco. 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.
|
May 2013
| When | Event |
|---|
| May 1-2 |
TRANSFORMING DATA TO DECISIONS: A Roadmap to Revenue for Data Analytics [NEW], by The Modeling Agency
Washington, DC
|
| May 2-3 |
Exploratory Analysis for Large and Complex Problems Using SAS Enterprise Miner.
Presented by SAS, Minneapolis, MN
|
| May 2-3 |
San Diego Supercomputing Predictive Analytics Center of Excellence (PACE) Data Mining Boot Camp 1, San Diego, CA, USA.
|
| May 6-10 |
Predictive Analytics & Data Mining: Model Development (MD) and Strategic Implementation (SI), by The Modeling Agency
Washington, DC
|
| May 6-7 |
Exploratory Analysis for Large and Complex Problems Using SAS Enterprise Miner,
SAS and Jeff Zeanah
Minneapolis, MN
|
| May 6-7 |
Text Analytics and Sentiment Mining Using SAS.
Presented by SAS, San Francisco, CA
|
| May 6, 8, 10, 14, 16, 20, 22, 24, 28, 30 (10 half-day sessions) |
Advanced Analytics for the Modern Business Analyst.
Presented by SAS, Live Web
|
| May 13-14 |
Applying Survival Analysis to Business Time-to-Event Problems.
Presented by SAS, Rockville, MD
|
| May 13-14 |
Net Lift Models: Optimizing the Impact of Your Marketing Efforts.
Presented by SAS, Irvine, CA
|
| May 13-15 |
Data Mining: Principles and Best Practices.
Presented by SAS, New York, NY
|
| May 20-22 |
Survival Data Mining: Predictive Hazard Modeling for Customer History Data.
Presented by SAS, Atlanta, GA
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