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Courses/Training on Data Mining, Analytics,
and Data Science

          

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February 2015

WhenEvent
Feb 3 A Free 2-Hour Workshop on Causality for Policy Analysts and Researchers,
Durham, NC, USA.
Feb 2 - Apr 24 NYC Data Science Academy Bootcamp,
New York, NY, USA.
Feb 3-5 3-Day Advanced BayesiaLab Course,
Paris, France.
Feb 4-5 2-Day Course: Bayesian Networks 101,
Durham, NC, USA.
Feb 4-6 Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS, part of SAS Business Knowledge Series.
Live Web.
Feb 5-6 Propensity Score Matching, Adjustment, and Randomized Experiments, part of SAS Business Knowledge Series.
San Francisco, CA, USA.
Feb 19-20 Bringing Customer Lifetime Value to Life Wharton workshop,
Philadelphia, PA, USA.
Feb 26-27 Essential Practice Skills for Analytics Professionals, by Dr. E. Andrew Boyd, Texas A&M, U. of Houston, presented by INFORMS
San Jose, CA, USA, USA.
Feb 27 - Mar 27 Data Ingestion via RESTful APIs,
online at Statistics.com.

March 2015

WhenEvent
Mar 2 - Apr 26 Strategic Value of Customer Relationships, taught by Wharton marketing professor Peter Fader - learn how to decipher the streams of customer data flowing into your company.
Online.
Mar 2-4 Strategies and Concepts for Data Scientists and Business Analysts, Peter Christie, Analytical Training Consultant, Education Division, SAS
Boston, MA, USA.
Mar 2 Predictive Analytics & Data Mining, Project Planning: Opportunity Identification and a Roadmap for Low-Risk / High-Impact Projects
Orlando, FL, USA.
Mar 3-4 Predictive Analytics & Data Mining: Model Development (MD), A Work-Along Course for Data Preparation, Modeling Methods, Tools And Techniques. By The Modeling Agency
Orlando, FL, USA.
Mar 2-6 Predictive Analytics & Data Mining: Strategic Implementation, a Comprehensive and Active Experience of the 6-Phase Model Development Methodology
Orlando, FL, USA.
Mar 4-6 Introductory BayesiaLab Course,
Boston, MA, USA.
Mar 4-6, 11-13 Survival Data Mining: A Programming Approach, Mike Patetta, Analytical Training Consultant, Education Division, SAS
Live web, USA.
Mar 5-6 Applying Survival Analysis to Business Time-to-Event Problems, Gordon S. Linoff, co-founder of Data Miners, Inc. and co-author of Data Mining Techniques and Mastering Data Mining
San Francisco, CA, USA.
Mar 6 - Apr 3 Persuasion Analytics and Targeting,Ken Strasma
online at Statistics.com.
Mar 6 - Apr 3 Statistics 1 - Probability and Study Design,Michelle Everson or Meena Badade
online at Statistics.com.
Mar 6 - Apr 3 Introductory Statistics for Credit,Michelle Everson or Meena Badade
online at Statistics.com.
Mar 6 - Apr 3 Natural Language Processing,Nitin Indurkhya
online at Statistics.com.
Mar 13 - Apr 10 Logistic Regression, Joseph Hilbe
online at Statistics.com.
Mar 13 - Apr 10 Statistics 2 - Inference and Association, Michelle Everson or Meena Badade
online at Statistics.com.
Mar 13 - Apr 10 Statistics 3 - ANOVA and Regression, Michelle Everson or Meena Badade
online at Statistics.com.
Mar 13 - Apr 10 Survival Analysis, Matthew Strickland and David G. Kleinbaum
online at Statistics.com.
Mar 13 - Apr 10 Statistical Process Control, Tom Ryan
online at Statistics.com.
Mar 16-18 Analyzing Marketing Data: Going Beyond Tabs and Bar Charts with JMP, part of SAS Business Knowledge Series.
San Francisco, CA, USA.
Mar 18-20 Data Science Training, by Salford Systems. Attend one, two, or all three days. Discover the power of predictive modeling, analytics and data mining during this popular seminar, geared toward creating better models using the latest advances in classification and regression technology.
New York City, NY, USA.
Mar 19-20 Data Exploration & Visualization, Instructors: Stephen McDaniel and Eileen McDaniel, Freakalytics, LLC, presented by INFORMS
Dallas, TX, USA, USA.
Mar 19-20 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, USA.
Mar 20 - Apr 17 Survey Analysis in R, Thomas Lumley
online at Statistics.com.
Mar 20 - Apr 17 Adaptive Designs for Clinical Trials, Vidyadhar Phadke
online at Statistics.com.
Mar 20 - Apr 17 Social Data Mining With Python, Shilad Sen
online at Statistics.com.
Mar 20 - Apr 17 SQL and R - Introduction to Database Queries, Ben Baumer
online at Statistics.com.
Mar 20 - Apr 17 Survey Design and Sampling Procedures, Anthony Babinec
online at Statistics.com.
Mar 20 - Apr 17 Matrix Algebra Review, Robert LaBudde
online at Statistics.com.
Mar 23 Analytics: Putting It All to Work, Christophe Mues, Ph.D., Professor at the School of Management of the University of Southampton (UK)
New York, NY, USA.
Mar 26-27 Text Analytics and Sentiment Mining Using SAS, Goutam Chakraborty, Ph.D., professor of marketing and founder of the SAS and Oklahoma State University Data Mining Certificate Program
Rockville, MD, USA.
Mar 26-27 Analytics in Excel,
Cincinnati, OH, USA.
Mar 27 - Apr 24 Producing RESTful APIs,
online at Statistics.com.
Mar 27 - Apr 24 Forecasting Analytics, Galit Shmueli
online at Statistics.com.
Mar 27 - Apr 24 Bayesian Statistics in R, Peter Congdon
online at Statistics.com.
Mar 27 - Apr 24 Introduction to Analytics using Hadoop, Benjamin Bengfort
online at Statistics.com.
Mar 27 - Apr 24 Producing Data Reporting APIs with Python, Allen Leis
online at Statistics.com.
Mar 29 Uplift Models: Optimizing the Impact of Your Marketing, at Predictive Analytics World San Francisco. The true effectiveness of a marketing campaign isnt response rate, it is the incremental impact - additional revenue directly attributable to the campaign that would not otherwise have been generated. Yet traditional targeting criteria are often designed to find clients that are interested in the product, but would have bought it anyway. Instructor: Kim Larsen, Vice President of Analytical Insights, MarketShare
San Francisco, CA, USA.
Mar 30 Advanced Methods Hands-on: Predictive Modeling Techniques, at Predictive Analytics World San Francisco. Once you know the basics of predictive analytics and have prepared data for modeling, which algorithms should you use? What are the similarities and differences? Which options affect the models most? Instructor: Dean Abbott, President, Abbott Analytics.
San Francisco, CA, USA.
Mar 30 Big Data: Proven Methods You Need to Extract Big Value, at Predictive Analytics World San Francisco. Big excitement about big data comes from the intersection of dramatic increases in computing power and data storage with growing streams of data coming from almost every person and process on Earth. Instructor: Dr. Marc A. Smith, Chief Social Scientist, Connected Action Consulting Group.
San Francisco, CA, USA.
Mar 30 R For Predictive Modeling: A Hands-On Introduction, at Predictive Analytics World San Francisco. 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
San Francisco, CA, USA.
Mar 30 - Apr 1 Advanced Analytics in a Big Data World, Christophe Mues, Ph.D., Professor at the School of Management of the University of Southampton (UK)
San Francisco, CA, USA.
Mar 30 - Apr 4 5-Day Hands-On Data Science and Engineering, by Data Science Dojo
Bellevue, WA, USA.

April 2015

WhenEvent
Apr 1-2 Propensity Score Matching, Adjustment, and Randomized Experiments, part of SAS Business Knowledge Series.
Rockville, MD, USA.
Apr 2 Supercharging Prediction: Hands-On with Ensemble Models, at Predictive Analytics World San Francisco. Explore model ensembles - what they are, why they improve model predictions, and how to to build them - using Angoss KnowledgeCORE™. Instructor: Dean Abbott, President, Abbott Analytics.
San Francisco, CA, USA.
Apr 2 The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining, at Predictive Analytics World San Francisco. Dr. Elder will describe the key inner workings of leading algorithms, demonstrate their performance with business case studies, compare their merits, and show you how to pick the method and tool best suited to each predictive analytics project. Instructor: Dr. John Elder, CEO and Founder, Elder Research, Inc.
San Francisco, CA, USA.
Apr 2 Text Analytics: From Getting Started to Successful Application, at Predictive Analytics World San Francisco. This workshop covers all you need to know whether you just want to build a single application or you want to build a text analytics foundation for a complete range of applications. Instructor: Tom Reamy, Program Chair Text Analytics World and Chief Knowledge Architect, KAPS Group, LLC
San Francisco, CA, USA.
Apr 3 - May 1 Generalized Linear Models, James Hardin and Joseph Hilbe
online at Statistics.com.
Apr 3 - May 1 R for Statistical Analysis, John Verzani
online at Statistics.com.
Apr 3 - May 1 Statistics 1 - Probability and Study Design, Michelle Everson or Meena Badade
online at Statistics.com.
Apr 3 - May 1 Introductory Statistics for Credit, Michelle Everson or Meena Badade
online at Statistics.com.
Apr 3 - May 1 R Programming - Intermediate, Olivia Lau
online at Statistics.com.
Apr 3 - May 1 Meta Analysis, Hannah Rothstein and Michael Borenstein
online at Statistics.com.
Apr 6-11 5-Day Hands-On Data Science and Engineering, by Data Science Dojo
Sunnyvale, CA, USA.
Apr 6 - Jun 26 METIS Data Science Bootcamp, with Datascope Analytics
New York, NY, USA.
Apr 9-10 Data Analytics for Action & Impact, Transforming Data to Goal-Driven Insight for the Data-Rich yet Information-Poor
Las Vegas, NV, USA.
Apr 10-12 Big Data Bootcamp by Global Big Data Conferences,
Austin, TX, USA.
Apr 10 - May 8 Discrete Choice Modeling and Conjoint Analysis, Anthony Babinec
online at Statistics.com.
Apr 10 - May 8 R Programming - Introduction 2, Joris Meys
online at Statistics.com.
Apr 10 - May 8 Categorical Data Analysis, Brian Marx
online at Statistics.com.
Apr 10 - May 8 Statistics 2 - Inference and Association, Michelle Everson or Meena Badade
online at Statistics.com.
Apr 10 - May 8 Natural Language Processing Using NLTK, Ben Bengfort
online at Statistics.com.
Apr 13 Predictive Analytics & Data Mining, Project Planning: Opportunity Identification and a Roadmap for Low-Risk / High-Impact Projects
Las Vegas, NV, USA.
Apr 14-15 Predictive Analytics & Data Mining: Model Development (MD), A Work-Along Course for Data Preparation, Modeling Methods, Tools And Techniques. By The Modeling Agency
Las Vegas, NV, USA.
Apr 13-17 Predictive Analytics & Data Mining: Strategic Implementation, a Comprehensive and Active Experience of the 6-Phase Model Development Methodology
Las Vegas, NV, USA.
Apr 13-17 perClass Course: Practical Machine Learning for Industry (10th edition), covers complete workflow of industrial recognition (i.e. sorting, quality control, object recognition). Intensive hands-on exercises. Bring your own data set!
Delft, The Netherlands.
Apr 15-16 Foundations of Modern Predictive Analytics, Instructor: James Drew (WPI), presented by INFORMS
Huntington Beach, CA, USA, USA.
Apr 15-17 Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS, part of SAS Business Knowledge Series.
Rockville, MD, USA.
Apr 17 - May 15 Sample Size and Power Determination, Tom Ryan
online at Statistics.com.
Apr 17 - May 15 Statistical Analysis of Microarray Data with R, Sudha Purohit
online at Statistics.com.
Apr 17 - May 15 Maximum Likelihood Estimation, Kuber Deokar
online at Statistics.com.
Apr 17 - May 15 Survey of Statistics for Beginners, Bob Hayden
online at Statistics.com.
Apr 17 - May 15 Introduction to SAS Programming for Analytics, Matt Windham
online at Statistics.com.
Apr 17 - May 15 Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules,
online at Statistics.com.
Apr 24 - May 22 Advanced Logistic Regression, Joe Hilbe
online at Statistics.com.
Apr 24 - May 22 Bayesian Regression Modeling via MCMC Techniques, Peter Congdon
online at Statistics.com.

May 2015

WhenEvent
May 1 - May 29 Graphics in R, Paul Murrell
online at Statistics.com.
May 1 - May 29 Mapping in R, Chris Brunsdon
online at Statistics.com.
May 1 - May 29 Statistics 1 - Probability and Study Design, Michelle Everson or Meena Badade
online at Statistics.com.
May 1 - May 29 Introductory Statistics for Credit, Michelle Everson or Meena Badade
online at Statistics.com.
May 1 - May 29 Risk Simulation and Queuing, Cliff Ragsdale
online at Statistics.com.
May 6-8 Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS, part of SAS Business Knowledge Series.
Live Web.
May 8 - June 5 Mixed and Hierarchical Linear Models, Andrzej Galecki and Brady West
online at Statistics.com.
May 8 - June 5 Statistics 2 - Inference and Association, Michelle Everson or Meena Badade
online at Statistics.com.
May 8 - June 5 Sentiment Analysis, Robert Munro and Nitin Indurkhya
online at Statistics.com.
May 8 - June 5 Spatial Statistics with Geographic Information Systems, Dave Unwin
online at Statistics.com.
May 8 - June 5 R Programming - Introduction 1, Paul Murrell or Tal Galili
online at Statistics.com.
May 11 Predictive Analytics & Data Mining, Project Planning: Opportunity Identification and a Roadmap for Low-Risk / High-Impact Projects
Washington, DC, USA.
May 12-13 Predictive Analytics & Data Mining: Model Development (MD), A Work-Along Course for Data Preparation, Modeling Methods, Tools And Techniques. By The Modeling Agency
Washington, DC, USA.
May 11-15 Predictive Analytics & Data Mining: Strategic Implementation, a Comprehensive and Active Experience of the 6-Phase Model Development Methodology
Washington, DC, USA.
May 13-15 Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS, part of SAS Business Knowledge Series.
Live Web.
May 15 - June 12 Introduction to Structural Equation Modeling, Randall Schumacker
online at Statistics.com.
May 15 - June 12 Financial Risk Modeling, Huybert Groenendaal and Greg Nolder
online at Statistics.com.
May 15 - June 12 Statistics 3 - ANOVA and Regression, Michelle Everson or Meena Badade
online at Statistics.com.
May 15 - June 12 Regression Analysis, Iain Pardoe
online at Statistics.com.
May 15 - June 12 Introduction to Python for Analytics, David Masad
online at Statistics.com.
May 18-19 Data Analytics for Action & Impact, Transforming Data to Goal-Driven Insight for the Data-Rich yet Information-Poor
Washington, DC, USA.
May 20-22 Analyzing Marketing Data: Going Beyond Tabs and Bar Charts with JMP, part of SAS Business Knowledge Series.
New York, NY, USA.
May 22 - June 19 Principal Components and Factor Analysis, Anthony Babinec
online at Statistics.com.
May 22 - June 19 R Programming - Advanced, Olivia Lau
online at Statistics.com.
May 22 - June 19 Biostatistics in R: Clinical Trial Applications, Din Chen and Karl Peace
online at Statistics.com.
May 22 - June 19 Modeling Count Data, Joe Hilbe
online at Statistics.com.
May 22 - June 19 Introduction to Bayesian Hierarchical and Multi-level Models, Peter Congdon
online at Statistics.com.
May 29 - June 26 Prediction & Tolerance Intervals; Measurement and Reliability, Tom Ryan
online at Statistics.com.
May 29 - June 26 Advanced Analytics and Machine Learning with Hadoop, Jenny Kim
online at Statistics.com.
May 29 - June 26 Predictive Analytics 1 - Machine Learning Tools, Anthony Babinec and Galit Shmueli
online at Statistics.com.
May 29 - June 26 Practical Rasch Measurement - Core Topics, Everett V. Smith, Jr
online at Statistics.com.
May 28-29 Introduction to Monte Carlo and Discrete-Event Simulation, Instructors: Barry G. Lawson (U. of Richmond) and Lawrence M. Leemis (William & Mary), presented by INFORMS
Washington, DC, USA, USA.

June 2015

WhenEvent
Jun 2-3 Propensity Score Matching, Adjustment, and Randomized Experiments, part of SAS Business Knowledge Series.
Chicago, IL, USA.
June 5 - July 3 Cluster Analysis, Anthony Babinec
online at Statistics.com.
June 5 - July 3 Calculus Review, Thomas Ryan
online at Statistics.com.
June 5 - July 3 Statistics 1 - Probability and Study Design, Michelle Everson or Meena Badade
online at Statistics.com.
June 5 - July 3 Statistics 2 - Inference and Association, Michelle Everson or Meena Badade
online at Statistics.com.
June 5 - July 3 Introductory Statistics for Credit, Michelle Everson or Meena Badade
online at Statistics.com.
June 12 - July 10 Interactive Data Visualization, Galit Shmueli or Catherine Plaisant
online at Statistics.com.
June 12 - July 10 Text Mining, Anurag Bhardwaj and Nitin Indurkhya
online at Statistics.com.
June 12 - July 10 R Programming - Introduction 2, Joris Meys
online at Statistics.com.
June 12 - July 10 Introduction to Statistical Modeling, Daniel Kaplan
online at Statistics.com.
June 19 - July 17 Probability Distributions, Madhav Kulkarni
online at Statistics.com.
June 19 - July 17 Introduction to Smoothing and P-spline Techniques using R, Brian Marx and Paul Eilers
online at Statistics.com.
June 19 - July 17 Introduction to Statistical Issues in Clinical Trials, Vidaydhar Phadke
online at Statistics.com.
June 26 - July 24 Data Mining - R, Luis Torgo
online at Statistics.com.
June 26 - July 25 Advanced Structural Equation Modeling, Randall Schumacker
online at Statistics.com.
June 26 - July 26 Matrix Algebra Review, Robert LaBudde
online at Statistics.com.
Jun 29 - Sep 18 METIS Data Science Bootcamp, with Datascope Analytics
New York, NY, USA.

July 2015

WhenEvent
Jul 26 - Aug 1 Lipari Summer School: Algorithms, Data, and Models for Social and Urban Systems,
Lipari Island, Italy.

August 2015

WhenEvent
Aug 3-15 Deep Learning Summer School 2015, Organizers: Yoshua Bengio, Roland Memisevic, Yann LeCun
Montreal, QC, Canada.

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