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

          

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August 2014

WhenEvent
Aug 1 Hands-On Data Mining Mini Training, by Salford Systems
Boston, MA, USA.
Aug 1 - Aug 29 SQL and R - Introduction to Database Queries. (4 weeks, online) An introduction to using SQL to extract data from relational databases, and then work with it in R. Database structure, SQL functions for selection, counting and arithmetic, subqueries, joins, and then work in R & Plyr.
Online at statistics.com.
Aug 6-8 Data Mining: Principles and Best Practices , part of SAS Business Knowledge Series.
New York, NY, USA.
Aug 7-8 (two half-day sessions) Analytics: Putting It All to Work , part of SAS Business Knowledge Series.
Live Web.
Aug 11-12 Cluster Analysis with IBM SPSS Modeler, This exclusive QueBIT course is given by an instructor over a two day period, with 3.5 hour session/day.
Online.
Aug 12-13 Hands-On Data Science and Predictive Analytics Using R, By Data Science Dojo.
Bellevue, WA, USA.
Aug 15 - Sep 12 Introduction to Social Network Analysis (SNA). (4 weeks, online) Basic terms and metrics, constructing plots, measuring tie strength and trust, content analysis, propagation, sampling and analysis, illustrations of applications. Taught Jen Golbeck, Director of the Human-Computer Interaction Lab at the University of Maryland, College Park.
Online at statistics.com.
Aug 15 - Sep 12 Introduction to Python for Analytics. (4 weeks, online) An introduction for those with some programming or command line scripting familiarity. Data structures, strings, data handling, Pandas, merging, joining, visualization with matplotlib.
Online at statistics.com.
Aug 20-22 Survival Data Mining: A Programming Approach , part of SAS Business Knowledge Series.
Chicago, IL, USA.
Aug 21-22 Text Analytics and Sentiment Mining Using SAS, part of SAS Business Knowledge Series.
Atlanta, GA, USA.
Aug 22 Hands-On Data Mining Mini Training, by Salford Systems
New York, NY, USA.
Aug 22 - Sep 19 Predictive Analytics 2 - Neural Nets and Regression. (4 weeks, online) Logistic and linear regression, discriminant analysis, neural networks. Assumes familiarity with the modeling process and model assessment taught in Predictive Analytics 1.
Online at statistics.com.
Aug 29 - Sep 26 Sentiment Analysis. (3 weeks, online) Sentiment Analysis refers to the process of identifying, extracting and classifying opinions in text segments (used in CRM, online advertising and brand analysis). Taught by author Nitin Indurkhya, who first coined the term Big Data in 1998.
Online at statistics.com.

September 2014

WhenEvent
Sep 2 - Nov 21 Metis Data Science Bootcamp, Learn Data Science in 12 weeks with in-person instruction + ongoing career coaching + job placement support. Apply by Aug 11, 2014.
New York, NY, USA.
Sep 8-9 Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links, presented by John Elder, PhD.
Charlottesville, VA, USA.
Sep 9-12 (four half-day sessions) Exploratory Analysis for Large and Complex Problems Using SAS Enterprise Miner(tm), part of SAS Business Knowledge Series.
Live Web.
Sep 12-13 Introduction to Monte Carlo and Discrete-Event Simulation, Learn the basics of Monte Carlo and discrete-event simulation, how to identify real-world problem types appropriate for simulation, and develop skills and intuition for applying Monte Carlo and discrete-event simulation techniques. Presented by INFORMS, Instructor: Barry G. Lawson, U. of Richmond; Lawrence M. Leemis, The College of William & Mary
INFORMS HQ, Catonsville, MD, USA.
Sep 12 - Oct 10 Forecasting Analytics. (4 weeks, online) Leach how to choose an appropriate time series model, fit the model, to conduct diagnostics, and use the model for forecasting. Regression models, Moving Average, exponential smoothing, Autoregressive models. Taught by Galit Shmueli, author of numerous books in data mining and analytics.
Online at statistics.com.
Sep 15-16 Modern Predictive Analytics, This course will give participants hands-on practice in handling real data types, real business problems and practical methods for delivering business-useful results. Presented by INFORMS, Instructor: James Drew, Worcester Polytechnic Institute, Verizon (ret.)
Washington, DC, USA.
Sep 15 Predictive Analytics & Data Mining Project Planning, Opportunity Identification and a Roadmap for Low-Risk / High-Impact Projects. By The Modeling Agency
Washington, DC, USA.
Sep 16-17 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.
Sep 15-19 Predictive Analytics & Data Mining: Strategic Implementation, A Comprehensive and Active Experience of the 6-Phase Model Development Methodology. By The Modeling Agency
Washington, DC, USA.
Sep 16-18 3-Day Introductory BayesiaLab Course, learn the foundations of Probabilistic Graphical Models & Bayesian Networks and how to use them as a practical research framework with the BayesiaLab software platform. by BayesiaLab
Los Angeles, CA, USA.
Sep 17 The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes, one-day session at Predictive Analytics World Government surveys standard and advanced methods for predictive modeling. Instructor: Dr. John Elder, CEO & Founder, Elder Research, Inc.
Washington, DC, USA.
Sep 18 Making Text Mining Work: Practical Methods and Solutions, a full day workshop at Predictive Analytics World Government surveys standard and advanced methods for text mining. Instructor: Dean Abbott, President, Abbott Analytics.
Washington, DC, USA.
Sep 17-19 Data Mining Techniques: Theory and Practice, part of SAS Business Knowledge Series.
San Francisco, CA, USA.
Sep 17-18 Propensity Score Matching, Adjustment, and Randomized Experiments, part of SAS Business Knowledge Series.
New York, NY, USA, USA.
Sep 18-19 (two half-day sessions) Analytics: Putting It All to Work, part of SAS Business Knowledge Series.
Live Web.
Sep. 18-19 (two half-day sessions) Imputation Techniques in SAS, part of SAS Business Knowledge Series.
Live Web.
Sep 19-20 2-Day Course: Causal Inference with Graphical Models, this course offers an applied introduction to directed acyclic graphs (DAGs) for causal inference from observational data. by BayesiaLab
Los Angeles, CA, USA.
Sep 19 Hands-On Data Mining Mini Training, by Salford Systems
Toronto, Canada.
Sep 21-23 3-Day Advanced BayesiaLab Course, take your BayesiaLab certification to the next level by joining the advanced BayesiaLab course in Los Angeles. Completing this course takes you to the leading edge of applied research with Bayesian Networks. by BayesiaLab
Los Angeles, CA, USA.
Sep 22 Hands-On Data Mining Mini Training, by Salford Systems
Detroit, MI, USA.
Sep 22-23 Transforming Data to Decisions, An Actionable Foundation for Data Analytics. By The Modeling Agency
Washington, DC, USA.
Sep 26 - Oct 24 Bayesian Statistics in R (4 weeks, online) Learn how to run Bayesian regression models in R - linear, linear regression, poisson, logit and negative binomial regression, and ordinal regression. Use JAGS and R-INLA. Taught by Peter Congdon, author of several books on Bayesian computing.
Online at statistics.com.
Sep 29 - Oct 2 Resource-aware Machine Learning - International Summer School 2014, How to deal with data analysis and limited resources: Computational power, data distribution, energy or memory?
Dortmund, Germany.
Sep 29 - Nov 23 Strategic Value of Customer Relationships, Led by Wharton Marketing Professor Peter Fader, a world-renowned thought leader on marketing analytics and co-director of the Wharton Customer Analytics Initiative
Online.

October 2014

WhenEvent
Oct 2-3 Text Analytics and Sentiment Mining Using SAS, by SAS
Rockville, MD, USA.
Oct 5 R For Predictive Modeling Hands-On: Business and Healthcare, This one-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.
Oct 5 The Big Picture on Big Data: Proven Methods You Need to Extract Big Value, This one day workshop at Predictive Analytics World Boston reviews major big data success stories that have transformed businesses and created new markets. Instructor: Dr. Marc A. Smith, Connected Action Consulting Group.
Boston, MA.
Oct 6-7 Exploratory Analysis for Large and Complex Problems Using SAS Enterprise Miner(tm), part of SAS Business Knowledge Series.
San Francisco, CA, USA.
Oct 7-8 Propensity Score Matching, Adjustment, and Randomized Experiments, part of SAS Business Knowledge Series.
Washington, DC, USA.
Oct 8-10, 15-17 (six half-day sessions) Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS, part of SAS Business Knowledge Series.
Live Web.
Oct 8 The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes, this one-day session at Predictive Analytics World Boston surveys standard and advanced methods for predictive modeling. Instructor: Dr. John Elder, CEO & Founder, Elder Research.
Boston, MA.
Oct 8 Supercharging Prediction: Hands-On with Ensemble Models, this is a full day workshop at Predictive Analytics World Boston. One key technique to improve model 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.
Boston, MA.
Oct 9 Advanced Methods Hands-on: Predictive Modeling Techniques, this is a full day workshop at Predictive Analytics World Boston. Once you know the basics of predictive analytics and have prepared data for modeling, which algorithms should you use? Instructor: Dean Abbott, President, Abbott Analytics.
Boston, MA.
Oct 10 - Nov 7 Data Mining: Unsupervised Techniques (4 weeks, online) This course covers Principal Components Analysis, hierarchical and k-means clustering, association rules, and the integration of unsupervised methods into predictive modeling.
Online at statistics.com.
Oct 14-16 Survival Data Mining: A Programming Approach, part of SAS Business Knowledge Series.
New York, NY, USA.
Oct 14-15 Essential Practice Skills for Analytics Professionals, Participants will learn practical tools for integrating their analytical skills into real-world problem solving for businesses and other organizations. The course provides approaches that can be applied immediately to a wide variety of settings, whether within a participant's own organization or for an external client. Presented by INFORMS, Instructor: Patrick S. Noonan, Emory U.
Chicago, IL, USA.
Oct 15-17 Network Analysis for Business Applications, part of SAS Business Knowledge Series.
New York, NY, USA.
Oct 16-17 Introduction to Monte Carlo and Discrete-Event Simulation, Learn the basics of Monte Carlo and discrete-event simulation, how to identify real-world problem types appropriate for simulation, and develop skills and intuition for applying Monte Carlo and discrete-event simulation techniques. Presented by INFORMS, Instructor: Barry G. Lawson, U. of Richmond; Lawrence M. Leemis, The College of William & Mary
Chicago, IL, USA.
Oct 19 Analytics: Putting It All to Work, part of SAS Business Knowledge Series.
at Analytics 2014, Las Vegas, NV, USA.
Oct 20-22 Data Mining: Principles and Best Practices, part of SAS Business Knowledge Series.
Boston, MA, USA.
Oct 22-24 Advanced Analytics for Customer Intelligence Using SAS, part of SAS Business Knowledge Series.
at Analytics 2014, Las Vegas, NV, USA.
Oct 22-24 Customer Segmentation Using SAS Enterprise Miner(tm), part of SAS Business Knowledge Series.
at Analytics 2014, Las Vegas, NV, USA.
Oct 22-24 Data Mining Techniques: Theory and Practice, part of SAS Business Knowledge Series.
at Analytics 2014, Las Vegas, NV, USA.
Oct 22-24 Network Analysis for Business Applications, part of SAS Business Knowledge Series.
at Analytics 2014, Las Vegas, NV, USA.
Oct 24 - Nov 21 Interactive Data Visualization. (4 weeks, online) The focus is not on presentation, but on exploration and analysis. Time series, scatterplots, trellis plots, parallel coordinate plots, treemaps. Choose different variables, different plots, and different filters all on the same dataset to gain knowledge.
Online at statistics.com.
Oct 27 Analytics: Putting It All to Work, part of SAS Business Knowledge Series.
Rockville, MD, USA.
Oct 28-31 Credit Risk Modeling Using SAS, part of SAS Business Knowledge Series.
Rockville, MD, USA.
Oct 29-31 Data Mining Techniques: Theory and Practice, part of SAS Business Knowledge Series.
Atlanta, GA, USA.
Oct 31 The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes, this one-day session at Predictive Analytics World London surveys standard and advanced methods for predictive modeling. A free copy of John Elder's book Statistical Analysis and Data Mining Applications is included. Instructor: Dr. John Elder, CEO & Founder, Elder Research, Inc.
London, UK.
Oct 31 - Nov 28 Introduction to Analytics using Hadoop. (4 weeks, online) Hands-on: set up your own Hadoop development environment. HDFS, MapReduce, data flow, functional programming with Mappers and Reducers, Hadoop streaming.
Online at statistics.com.
Oct 31 - Nov 28 Cluster Analysis (4 weeks, online) This course is an in-depth look at hierarchical clustering (divisive vs. agglomerative), k-means clustering, Normal-mixture models, and two-step clustering. Taught by Anthony Babinec, president of AB Analytics.
Online at statistics.com.

November 2014

WhenEvent
11/03/2014 Advanced Methods Hands-on: Predictive Modeling Techniques,This is a full day workshop at Predictive Analytics World Berlin. Once you know the basics of predictive analytics and have prepared data for modeling, which algorithms should you use? Instructor: Dean Abbott, President, Abbott Analytics.
Berlin, Germany.
Nov 5-6 Propensity Score Matching, Adjustment, and Randomized Experiments, part of SAS Business Knowledge Series.
Boston, MA, USA.
Nov 6-7 (two half-day sessions) Analytics: Putting It All to Work, part of SAS Business Knowledge Series.
Live Web.
Nov 7-8 Modern Predictive Analytics, This course will give participants hands-on practice in handling real data types, real business problems and practical methods for delivering business-useful results. Presented by INFORMS, Instructor: James Drew, Worcester Polytechnic Institute, Verizon (ret.)
San Francisco, CA, USA.
Nov 7-8 Data Exploration & Visualization, Hands-on training that focuses on the critical steps in the process of analyzing data: accessing and extracting data, cleaning and preparing data, exploring and visualizing data. Several of the most popular software tools intensively, and provide an overview of the range of software options. Presented by INFORMS, Instructor: Stephen McDaniel, Eileen McDaniel, Freakalytics, LLC
San Francisco, CA, USA.
Nov 10, 12, 14, 17, 19, 21 (six half-day sessions) Strategies and Concepts for Data Scientists and Business Analysts, part of SAS Business Knowledge Series.
Live Web.
Nov 17-19 Analyzing Marketing Data: Going Beyond Tabs and Bar Charts with JMP, part of SAS Business Knowledge Series.
Boston, MA, USA.
Nov 19-21 Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS, part of SAS Business Knowledge Series.
New York, NY, USA.
Nov 21 - Dec 19 Risk Simulation and Queuing. (4 weeks, online) This course covers simulation to analyze risk, poisson arrival rate simulation, queuing, decision analysis (decision tree, payoff matrix, expected value of information, tornado charts. Taught by Cliff Ragsdale, author of "Spreadsheet Modeling and Decision Analysis: A Practical Introduction - Management Science"
Online at statistics.com.

December 2014

WhenEvent
Dec 2-5 (four half-day sessions) Exploratory Analysis for Large and Complex Problems Using SAS Enterprise Miner(tm), part of SAS Business Knowledge Series.
Live Web.
Dec 3-4 Electric Load Forecasting: Fundamentals and Best Practices, part of SAS Business Knowledge Series.
Charlotte, NC, USA.
Dec 3-5 Customer Segmentation Using SAS Enterprise Miner(tm), part of SAS Business Knowledge Series.
Washington, DC, USA.
Dec 3-5 Data Mining: Principles and Best Practices, part of SAS Business Knowledge Series.
Chicago, IL, USA.
Dec 3-5, 10-12 (six half-day sessions) Survival Data Mining: A Programming Approach, part of SAS Business Knowledge Series.
Live Web.
Dec 3 Predictive Analytics & Data Mining Project Planning, Opportunity Identification and a Roadmap for Low-Risk / High-Impact Projects. By The Modeling Agency
Las Vegas, NV, USA.
Dec 4-5 Applying Survival Analysis to Business Time-to-Event Problems, by Gordon Linoff, part of SAS Business Knowledge Series.
Dallas, TX, USA.
Dec 4-5 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.
Dec 3-5 & 8-9 Predictive Analytics & Data Mining: Strategic Implementation, A Comprehensive and Active Experience of the 6-Phase Model Development Methodology. By The Modeling Agency
Las Vegas, NV, USA.
Dec 8 Analytics: Putting It All to Work, part of SAS Business Knowledge Series.
Chicago, IL, USA.
Dec 9-10 Net Lift Models: Optimizing the Impact of Your Marketing Efforts, part of SAS Business Knowledge Series.
San Francisco, CA, USA.
Dec 9-12 Credit Risk Modeling Using SAS, part of SAS Business Knowledge Series.
Chicago, IL, USA.

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