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Past 2012 Courses on Analytics and Data Mining |
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Jan |
Feb |
Mar |
Apr |
May |
Jun |
Jul |
Aug |
Sep |
Oct |
Nov |
Dec
January 2012
February 2012
| When | Event |
|---|
| Jan 20 - Feb 17 |
Decision Trees and Rule-Based Segmentation taught by Anthony Babinec, president of AB Analytics, online at statistics.com
|
Feb
3,10,17 |
UC San Diego Extension Text Mining Course,
designed and taught by Dean Abbott, Abbott Analytics, San Diego, CA.
|
| February 6-8 |
Advanced Analytics for Customer Intelligence Using SAS®,
New York, NY
|
Feb
6-7 |
PREDICTIVE ANALYTICS & DATA MINING: Model Development,
(A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques),
presented by The Modeling Agency, Atlanta, GA.
|
Feb
8-10 |
PREDICTIVE ANALYTICS & DATA MINING: Strategic Implementation,
(Project Design and Practical Use Workshop to Discover What Really Works)
presented by The Modeling Agency, Atlanta, GA.
|
| Feb 9-10 |
Web Analytics and Web Intelligence Using SAS®, by SAS
New York, NY
|
| Feb 13 |
A bungee jump into Adaptive Analytics: training for LIONsolver,
Palo Alto, CA, USA.
|
| Feb 16-17 |
Net Lift Models: Optimizing the Impact of Your Marketing Efforts, by SAS
San Francisco, CA
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March 2012
| When | Event |
|---|
Mar
4 |
R FOR PREDICTIVE MODELING: A HANDS-ON INTRODUCTION. This full-day session provides a hands-on introduction to R, the well-known open-source platform for data analysis. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer.
at
Predictive Analytics World, San Francisco, CA
|
| March 5-8 |
Exploratory Analysis for Large and Complex Problems Using SAS® Enterprise Miner™, by SAS
Live Web
|
| March 7-8 |
Credit Scorecard Development and Implementation, by SAS
Cary, NC
|
Mar
7 |
MODELING METHODS: THE BEST AND THE WORST OF PREDICTIVE ANALYTICS. A full-day workshop 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.
at
Predictive Analytics World, San Francisco, CA
|
Mar
8 |
ADVANCED METHODS HANDS-ON: PREDICTIVE MODELING TECHNIQUES. Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software. Instructor: Dean Abbott, President, Abbott Analytics.
at
Predictive Analytics World, San Francisco, CA
|
Mar
8 |
MAKING TEXT MINING WORK: PRACTICAL METHODS AND SOLUTIONS.
This is a full day workshop providing the text mining solutions available now, the problems for which they are best suited and best practices in text mining. Instructor: Andrew Fast, Director of Research, Elder Research, Inc.
at
Predictive Analytics World, San Francisco, CA
|
Mar
9-10 |
NET LIFT MODELS: OPTIMIZING THE IMPACT OF YOUR MARKETING. The true effectiveness of a marketing campaign isn't response rate; it is the incremental impact - that is, the difference it makes. This is an entirely different thing to model. Instructor: Kim Larsen, Vice President, Analytical Insights.
|
| Mar 9 - Apr 6 |
Introduction to Data Mining taught by Anthony Babinec, president of AB Analytics, online at statistics.com
|
Mar
10 |
An introduction to R for software developers and data analysts,
presented by Robert Kabacoff and ACM San Francisco Bay Area Professional Chapter.
|
| Mar 12 |
A bungee jump into Adaptive Analytics: training for LIONsolver,
Frankfurt am Main, Germany.
|
Mar
15-16 |
Statistical Learning and Data Mining III, State-of-the-Art Statistical Methods for Data Analysis: Ten Hot Ideas for Learning from Data, by Trevor Hastie and Robert Tibshirani (Stanford). Palo Alto, CA.
|
Mar
21-23 |
Data Mining: Principles and Best Practices, by SAS and Elder Research. New York, NY
|
Mar
22-23 |
Predictive Analytics for Business, Marketing and Web, presented by Prediction Impact, covers the techniques, tips and pointers for a successful predictive analytics / data mining initiative, detailed case studies, interactive breakout sessions and a hands-on exercise.
New York, NY
|
| Mar 23 |
A bungee jump into Adaptive Analytics: training for LIONsolver,
Paris, France.
|
| Mar 28-30 |
Survival Data Mining: Predictive Hazard Modeling for Customer History Data, by SAS
New York, NY
|
| Mar 30 - Apr 27 |
Forecasting taught by Galit Shmueli,
co-author of Data Mining for Business Intelligence and co-director of eMarkets research lab, online at statistics.com
|
April 2012
| When | Event |
|---|
| April 2-4 |
Data Mining: Principles and Best Practices, by SAS and Elder Research. Chicago, IL
|
| April 4-6 |
Customer Segmentation Using SAS® Enterprise Miner™, by SAS
Philadelphia, PA
|
| April 12-13 |
Imputation Techniques in SAS®, by SAS
Live Web
|
Apr
23 |
R FOR PREDICTIVE MODELING: A HANDS-ON INTRODUCTION. Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer
at Predictive Analytics World, Toronto, Canada.
|
Apr
24 |
MODELING METHODS: THE BEST AND THE WORST OF PREDICTIVE ANALYTICS. 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.
at Predictive Analytics World, Toronto, Canada.
|
Apr
23-24 |
PREDICTIVE ANALYTICS & DATA MINING: Model Development,
(A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques),
presented by The Modeling Agency, Las Vegas, NV, USA.
|
Apr
25-27 |
PREDICTIVE ANALYTICS & DATA MINING: Strategic Implementation,
(Project Design and Practical Use Workshop to Discover What Really Works)
presented by The Modeling Agency, Las Vegas, NV, USA.
|
Apr
27 |
ADVANCED METHODS HANDS-ON: PREDICTIVE MODELING TECHNIQUES. Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software. Instructor: Dean Abbott, President, Abbott Analytics.
at Predictive Analytics World, Toronto, Canada.
|
| Apr 27 - May 25 |
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
|
May 2012
| When | Event |
|---|
| May 7 |
Advanced Analytics for the Modern Business Analyst,
Presented by Catherine Truxillo, SAS, online (Live Web)
|
| May 8-10 |
Customer Segmentation Using SAS® Enterprise Miner™, by SAS
Irvine, CA
|
May
11, 18, 25 |
UC San Diego Extension Text Mining Course,
designed and taught by Dean Abbott, Abbott Analytics, San Diego, CA.
|
| May 14 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
| May 15-18 |
Exploratory Analysis for Large and Complex Problems Using SAS® Enterprise Miner™, by SAS
Live Web
|
May
14-15 |
PREDICTIVE ANALYTICS & DATA MINING: Model Development,
(A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques),
presented by The Modeling Agency, Washington, DC, USA.
|
May
16-18 |
PREDICTIVE ANALYTICS & DATA MINING: Strategic Implementation,
(Project Design and Practical Use Workshop to Discover What Really Works)
presented by The Modeling Agency, Washington, DC, USA.
|
| May 18 |
Increase Business Impact through Analytics: 1-Day Workshop for Data Scientists and Analysts,
Santa Clara, CA, USA.
|
| May 21 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
May
21-23 |
Salford Systems Pre-Conference Training,
San Diego, CA.
|
| May 21-22 |
Net Lift Models: Optimizing the Impact of Your Marketing Efforts, by SAS
Chicago, IL
|
| May 29 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
June 2012
| When | Event |
|---|
| Jun 4 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
| June 4-5 |
Exploratory Analysis for Large and Complex Problems Using SAS® Enterprise Miner™, by SAS
San Francisco, CA
|
| Jun 8 - Jul 6 |
Text Mining taught by Nitin Indurkhya,
co-author of Text Mining: Predictive Methods for Analyzing Unstructured Information, online at statistics.com
|
| Jun 11 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
| Jun 11-13 |
MapReduce Hands-On Training, by MapR
New York, NY
|
| Jun 18 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
| June 18-19 |
Credit Scorecard Development and Implementation, by SAS
New York, NY
|
| Jun 20-21 |
Data Analysis Boot Camp, What You Really Need to Know About Transporting Data to Decisions, by Tony Rathburn and The Modeling Agency
New York, NY, USA
|
| Jun 21-22 |
Hive and Pig Hands-On Training, by MapR
New York, NY
|
| Jun 22 |
Analytics: Putting It All to Work, by Bart Baesens, PhD, and SAS.
Washington, DC, USA.
|
Jun
24 |
R FOR PREDICTIVE MODELING: A HANDS-ON INTRODUCTION. Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer
at Predictive Analytics World, Chicago, IL.
|
| Jun 25 |
Advanced Analytics for the Modern Business Analyst, by SAS
Live Web
|
| Jun 25-27 |
MapReduce Hands-On Training, by MapR
Mountain View, CA
|
| Jun 25 - Jul 6 |
Summer School on Advanced Statistics and Data Mining, Madrid, Spain.
|
Jun
27 |
MODELING METHODS: THE BEST AND THE WORST OF PREDICTIVE ANALYTICS. 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.
at Predictive Analytics World, Chicago, IL.
|
Jun
28 |
ADVANCED METHODS HANDS-ON: PREDICTIVE MODELING TECHNIQUES.
Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software. Instructor: Dean Abbott, President, Abbott Analytics.
at Predictive Analytics World, Chicago, IL.
|
| Jun 29 - Jul 27 |
Data Mining in R taught by Luis Torgo,
author of best selling text, Data Mining with R, online at statistics.com
|
July 2012
| When | Event |
|---|
| Jul 9-13 |
Predictive Analytics & Data Mining: Model Development (MD) and Strategic Implementation (SI),
by The Modeling Agency
New York, NY, USA.
|
| July 10 |
Analytics: Putting It All to Work, by Bart Baesens, PhD, and SAS.
Chicago, IL, USA.
|
| Jul 20 - Aug 10 |
Sentiment Analysis taught by Nitin Indurkhya,
co-editor of Handbook of Natural Language Processing, 2nd edition, online at statistics.com
|
| Jul 26-27 |
Predictive Analytics for Business, Marketing and Web, presented by Prediction Impact, covers the techniques, tips and pointers for a successful predictive analytics / data mining initiative, detailed case studies, interactive breakout sessions and a hands-on exercise.
Sao Paulo, Brazil.
|
August 2012
| When | Event |
|---|
| Aug 3 - 16 |
Summer School "Achievements and Applications of Contemporary Informatics, Mathematics and Physics", (AACIMP-2012), with focus on Data Mining. Kyiv, Ukraine
|
| Aug 6 - 17 |
SAMSI Program on Computational Advertising
Organizers: Deepak Agarwal (Yahoo!) and Diane Lambert (Google)
|
| Aug 16-17 |
Data Analysis Boot Camp, What You Really Need to Know About Transporting Data to Decisions, by Tony Rathburn and The Modeling Agency
San Jose, CA, USA.
|
| Aug 20-24 |
Predictive Analytics & Data Mining: Model Development (MD) and Strategic Implementation (SI),
by The Modeling Agency
San Jose, CA, USA.
|
| Aug 31 - Sep 28 |
Natural Language Processing taught by Nitin Indurkhya,
co-editor of Handbook of Natural Language Processing, 2nd edition, online at statistics.com
|
September 2012
| When | Event |
|---|
| Sep 7 - Oct 5 |
Introduction to Data Mining taught by Anthony Babinec,
president of AB Analytics, online at statistics.com
|
| Sep 10-11 |
Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links, by John Elder, Charlottesville, VA.
|
| Sep 12-13 |
Data Analysis Boot Camp, What You Really Need to Know About Transporting Data to Decisions, by Tony Rathburn and The Modeling Agency
Washington, DC, USA.
|
| Sep 14 - Oct 12 |
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 17-21 |
Predictive Analytics & Data Mining: Model Development (MD) and Strategic Implementation (SI),
by The Modeling Agency
Washington, DC, USA.
|
| Sep 18-19 |
STATISTICAL LEARNING AND DATA MINING III, State-of-the-Art Statistical Methods for Data Analysis: Ten Hot Ideas for Learning from Data, by Trevor Hastie and Robert Tibshirani (Stanford).
|
| Sep 30 |
MULTI-TOOLS HANDS ON - JMP, R, and SAS: THE BEAUTY OF MULTIPLE PARADIGMS.
This half-day workshop at Predictive Analytics World Boston provides a hands-on experience to leverage the strengths of JMP, R and SAS. Whether your starting point is JMP, R or SAS, you will see practical examples of how these tools work together to give you more options, making your analysis efforts more efficient and effective. Instructor: Matthew J. Flynn, Director of Claims Research, Travelers Insurance.
|
| Sep 30 |
ACCELERATING DISCOVERY WITH VISUALIZATION: HANDS-ON WORKSHOP.
This half-day workshop at Predictive Analytics World Boston provides a hands-on experience using JMP's interactive, dynamic data visualization and analysis capabilities as well as JMP's interactive, dynamic information presentation. Instructor: Dick De Veaux, Professor of Mathematics and Statistics, Williams College.
|
October 2012
| When | Event |
|---|
| Oct 2 |
R BOOTCAMP: FOR NEWCOMERS TO R.
This half-day workshop at Predictive Analytics World Boston launches your tenure as a user of R, the well-known open-source platform for data analysis. The workshop stands alone as the perfect way to get started with R, or may serve to prepare for the more advanced full-day hands-on workshops, "R for Predictive Modeling." Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer.
|
| Oct 3 |
MODELING METHODS: THE BEST AND THE WORST OF PREDICTIVE ANALYTICS.
This full-day workshop at Predictive Analytics World Boston 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.
|
| Oct 3 |
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. Real examples are employed in order to methodically expose attendees to best practices driving R and its rich set of predictive modeling packages, providing hands-on experience and know-how. Instructor: Max Kuhn, Director, Nonclinical Statistics, Pfizer.
|
| Oct 3 |
Hands-On Workshop Model Ensembles: Advanced.
This is a full day workshop at Predictive Analytics World Boston. One key technique for improving accuracy is the use of model ensembles, which "groups" or "rolls up" models into a single, usually-better model. Instructor: Dean Abbott, President, Abbott Analytics.
|
| Oct 4 |
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.
|
| Oct 5 |
MAKING TEXT MINING WORK: PRACTICAL METHODS AND SOLUTIONS.
This is a full day workshop at Predictive Analytics World Boston. In their 2011 Hype Cycle report, Gartner has Text Analytics sliding into the "Trough of Disillusionment", highlighting the difficulty of achieving its great promise. Despite this verdict, text mining and text analytics can be valuable tools, if you know where to look for the solution. Instructor: Dr. Andrew Fast, Director of Research, Elder Research, Inc.
|
| Oct 05 - Nov 02 |
Data Prep & Cleaning for Analytics. This course covers the steps and procedures involved -- joining and merging tables, recoding data, detecting outliners, dealing with missing data, deriving new variables, and more. The course culminates in a data mining project in which you will bring data through the cleaning and preparation stages, and to the point where you implement a data mining model. by Bob Nisbet
|
| Oct 11 - Nov 8 |
Data Mining: Unsupervised Techniques. This course covers key unsupervised learning techniques - association rules, principal components analysis, and clustering. The course will include an integration of supervised and unsupervised learning techniques. by Tony Babinec
online at statistics.com |
| Oct 12 - Oct 26 |
Data Mining Mistakes and How to Avoid Them. The very nature of data mining makes it prone to error. This course reviews and illustrates the typical sources of error, and how to avoid them. by John Elder, IV
|
| Oct 11-12 |
Predictive Analytics for Business, Marketing and Web, presented by Prediction Impact, covers the techniques, tips and pointers for a successful predictive analytics / data mining initiative, detailed case studies, interactive breakout sessions and a hands-on exercise.
San Francisco, CA, USA.
|
| Oct 19 - Nov 16 |
Statistical Analysis of Microarray Data with R. You will learn how to preprocess the data, short list the differentially expressed genes, carryout principal component analysis to reduce the dimensionality and to detect interesting gene expression patterns, and clustering of genes and samples. by Sudha Purohit |
| Oct 26 - Nov 23 |
Interactive Data Visualization, This course covers the principles of the visual display of data, both for presentation and analysis. by Catherine Plaisant |
| Oct 30-31 |
Big Data: Making Complex Things Simpler, MIT Sloan executive education, Cambridge, MA.
|
November 2012
| When | Event |
|---|
| Nov 2 - 30 |
Cluster Analysis. This course will teach you how to use various cluster analysis methods to identify possible clusters in multivariate data. Methods discussed include hierarchical clustering, k-means clustering, two-step clustering, and normal mixture models for continuous variables. by Tony Babinec,
online at statistics.com |
| Nov 12 |
Analytics: Putting It All to Work, by Bart Baesens, PhD, and SAS.
San Francisco, CA, USA.
|
| Nov 16 - Dec 16 |
Introduction to Support Vector Machines in R. This course begins by developing basic concepts such as hyperplanes, features spaces and kernels; then it covers the development of support vector machines (SVM's). by Lutz Hamel
online at statistics.com |
| Nov 23 - Dec 21 |
Introduction to Support Vector Machines in R taught by Lutz Hamel,
author of Knowledge Discovery with Support Vector Machines, online at statistics.com
|
| Nov 23 - Dec 21 |
Risk Simulation and Queuing taught by Cliff Ragsdale,
author of Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Management Science, online at statistics.com
|
| Nov 29-30 |
Data Analysis Boot Camp, What You Really Need to Know About Transporting Data to Decisions, by Tony Rathburn and The Modeling Agency
Las Vegas, NV, USA.
|
December 2012
| When | Event |
|---|
| Dec 3-7 |
Predictive Analytics & Data Mining: Model Development (MD) and Strategic Implementation (SI),
by The Modeling Agency
Washington, DC, USA.
|
| Dec 5-7 |
Data Mining Training Course: The Salford Predictive Modeler Software Suite,
Data Mining with Decision Trees (CART), Predictive Modeling with MARS Automated Non-linear Regression and RandomForests, Advanced Data Mining (TreeNet, GPS, Rulefit and Interaction Detection),
by Salford Systems, San Diego, CA, USA.
|
| Dec 6-7 |
Introduction to Data Mining and Predictive Analytics with RapidMiner,
Redwood City, CA, USA.
|
| Dec 17 |
Analytics: Putting It All to Work, by Bart Baesens, PhD, and SAS.
New York, NY, USA.
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