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Past 2015 Courses on Analytics and Data Mining


 
  

Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec

January 2015

WhenEvent
Jan 12 - Apr 3 METIS Data Science Bootcamp, with Datascope Analytics
New York, NY, USA.
Jan 13 A Free 2-Hour Workshop on Causality for Policy Analysts and Researchers,
Houston, TX, USA.
Jan 14 - 16 Introductory BayesiaLab Course,
Houston, TX, USA.
Jan 16 - 18 Big Data Bootcamp by Global Big Data Conferences,
Santa Clara, CA, USA.
Jan 28-30 Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS, part of SAS Business Knowledge Series.
Live Web.

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 1 - May 19 Process Mining: Data science in Action, the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.
Online on Coursera.
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 Data Science Mini Training, by Salford Systems
Online and in San Diego, CA.
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 PACE Data Mining Boot Camp 1, by SDSC Predictive Analytics Center of Excellence
San Diego, CA, USA.
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.
Apr 29-30 PACE Data Mining Boot Camp 2, by SDSC Predictive Analytics Center of Excellence
San Diego, CA, USA.

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 - 29 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 Data Science Mini Training, by Salford Systems
Washington, DC, USA.
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 16 - Jun 20 (Saturdays, no class May 23) Data Science with R: Data Analysis, NYC Data Science Academy
New York, NY, USA.
May 16 - Jun 20 (Saturdays, no class May 23) Data Science with Python: Data Analysis, NYC Data Science Academy
New York, NY, USA.
May 17 - Jun 21 (Sundays, no class May 24) Data Science with Python: Machine Learning, NYC Data Science Academy
New York, NY, USA.
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 19-21 Survival Data Mining: A Programming Approach,
San Francisco, CA.
May 20-21 Intro to Data Science with R, NYC Data Science Academy
New York, NY, 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 27-28 Electric Load Forecasting: Fundamentals and Best Practices, SAS Business Knowledge Series,
New York, NY.
May 29 Electric Load Forecasting: Advanced Topics and Case Studies, SAS Business Knowledge Series,
New York, NY.
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 3-5, 10-12 (six half-day sessions) Survival Data Mining: A Programming Approach,SAS Business Knowledge Series,
Live Web.
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 9-12 (four half-day sessions) Structural Equation Modeling Using SAS®, SAS Business Knowledge Series,
Live Web.
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 15-16 Causal Inference with Graphical Models, by BayesiaLab
San Jose, CA, USA.
June 17-19 Introductory BayesiaLab Course, by BayesiaLab
San Jose, CA, USA.
June 17-19 Introduction to Applied Econometrics, SAS Business Knowledge Series,
New York, NY.
Jun 19 Data Science Mini Training, by Salford Systems
Chicago, IL, USA.
Jun 19-21 Big Data Developer Conference,
Hyderabad, India.
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 22-24 Advanced BayesiaLab Course, by BayesiaLab
San Jose, CA, USA.
Jun 23 - Jul 30 METIS Data Visualization with D3.js, taught by Kevin Quealy, Graphics Editor, New York Times
New York, NY, USA.
June 24-26 Data Mining Techniques: Theory and Practice, SAS Business Knowledge Series,
Rockville, MD.
June 26 (one half-day session) Robust Regression Techniques in SAS/STAT®, SAS Business Knowledge Series,
Live Web .
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.
Jun 29 - Jul 10 Advanced Statistics and Data Mining Summer School,
Madrid, Spain.

July 2015

WhenEvent
Jul 6-17 Big data for Peace Summer School, organized by Leiden University, Centre for Innovation, Peace Informatics Lab
Centre for Innovation, The Hague, The Netherlands.
July 13, 15, 17, 20, 22, 24 Strategies and Concepts for Data Scientists and Business Analysts, SAS Business Knowledge Series,
Live Web .
July 14-16 Data Mining: Principles and Best Practices, SAS Business Knowledge Series,
Minneapolis, MN.
July 15-17 Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS®, SAS Business Knowledge Series,
San Francisco, CA.
Jul 15,16,17 Data Science & Analytics Training, 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. By Salford Systems
Online and San Diego, CA.
July 15-17 Big Data Developer Conference and Training, by Global Big Data Conference.
Santa Clara, CA, USA.
Jul 17 - Aug 14 Natural Language Processing, Instructor: Dr. Dr. Nitin Indurkhya
online at Statistics.com.
Jul 20 Analytics: Putting It All to Work, SAS Business Knowledge Series,
Chicago, IL.
July 21-24 Credit Risk Modeling Using SAS®, SAS Business Knowledge Series,
Chicago, IL.
July 22-24 Survival Data Mining: A Programming Approach, SAS Business Knowledge Series,
Minneapolis, MN.
Jul 26 - Aug 1 Lipari Summer School: Algorithms, Data, and Models for Social and Urban Systems,
Lipari Island, Italy.
July 27-29 Customer Segmentation Using SAS® Enterprise Miner™, SAS Business Knowledge Series,
New York, NY.

August 2015

WhenEvent
Aug 3-15 Deep Learning Summer School 2015, Organizers: Yoshua Bengio, Roland Memisevic, Yann LeCun
Montreal, QC, Canada.
Aug 4 - Oct 15 Analytics, 10-week technology course.
New York, by General Assembly.
Aug 6-7 Data Science: Building Recommender Systems with SAS and Hadoop, SAS Business Knowledge Series,
San Francisco, CA.
Aug 6-7 Structural Equation Modeling Using SAS®, SAS Business Knowledge Series,
Rockville, MD.
Aug 10-12 Advanced Topics in Applied Econometrics, SAS Business Knowledge Series,
Minneapolis, MN.
Aug 10-12 Big Data Developer Conference and Training, by Global Big Data Conference.
Boston, MA, USA.
Aug 11 thru Sep 17 (Tue/Thu Nights) Big Data with Hadoop and Spark (Weekday Night Classes), by NYC Data Science Academy
New York, NY, USA.
Aug 12 - Oct 21 Data Analysis Circuit, by General Assembly
online.
Aug 14 Analytics: Putting It All to Work, SAS Business Knowledge Series,
Chicago, IL.
Aug 14 Data Mining Mini Training, by Salford Systems
Sydney, Australia, USA.
Aug 17-19 Social Network Analysis for Business Applications, SAS Business Knowledge Series,
Rockville, MD.
Aug 17-19 Big Data Developer Conference and Training, by Global Big Data Conference.
Seattle, WA, USA.
Aug 20-21 Text Analytics and Sentiment Mining Using SAS®, SAS Business Knowledge Series,
Boston, MA.
Aug 21 - Sep 11 Sentiment Analysis, Robert Munro and Nitin Indurkhya
online at Statistics.com.
Aug 20-21 Data Analytics for Action & Impact, Transforming Data to Goal-Driven Insight for the Data-Rich yet Information-Poor
Toronto, ON, Canada.
Aug 24 Predictive Analytics & Data Mining, Project Planning: Opportunity Identification and a Roadmap for Low-Risk / High-Impact Projects
Toronto, ON, Canada.
Aug 25-26 Predictive Analytics & Data Mining: Model Development (MD), A Work-Along Course for Data Preparation, Modeling Methods, Tools And Techniques. By The Modeling Agency
Toronto, ON, Canada.
Aug 24-28 Predictive Analytics & Data Mining: Strategic Implementation, a Comprehensive and Active Experience of the 6-Phase Model Development Methodology
Toronto, ON, Canada.
Aug 24 - Oct 2 6-Week Intensive Data Engineering Bootcamp, by NYC Data Science Academy
New York, NY, USA.
Aug 25 - Nov 12 Data Science, by General Assembly
New York, NY, USA.
Aug 24-26 Big Data Developer Conference and Training, by Global Big Data Conference.
Raleigh, WA, USA.
Aug 25-28 (four half-day sessions) Survival Data Mining Using SAS® Enterprise Miner™ Software, SAS Business Knowledge Series,
Live Web.
Aug 26-28 Strategies and Concepts for Data Scientists and Business Analysts, SAS Business Knowledge Series,
New York, NY.
Aug 27-28 Machine Learning workshops, Free (donation-based), by DeepSense.io
San Francisco, CA, USA.
Aug 28-30 Big Data Bootcamp, by Global Big Data Conference.
Austin, TX, USA.

September 2015

WhenEvent
Sep 2-5 Summer School on Data Sciences for Big Data - Resource Aware Data Mining, collocated with ECMLPKDD 2015
Porto, Portugal, USA.
Sep 2-4 Customer Segmentation Using SAS® Enterprise Miner™, SAS Business Knowledge Series,
Minneapolis, MN.
Sep 9-11, 16-18 (six half-day sessions) Survival Data Mining: A Programming Approach, SAS Business Knowledge Series,
Live Web.
The Modeling Agency Courses:
Sep 10-11 Data Analytics for Action & Impact, Transforming Data to Goal-Driven Insight for the Data-Rich yet Information-Poor
Washington, DC, USA.
Sep 14 Predictive Analytics & Data Mining, Project Planning: Opportunity Identification and a Roadmap for Low-Risk / High-Impact Projects
Washington, DC, USA.
Sep 15-16 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 14-18 Predictive Analytics & Data Mining: Strategic Implementation, a Comprehensive and Active Experience of the 6-Phase Model Development Methodology
Washington, DC, USA.
Sep 14-16 Introduction to Applied Econometrics, SAS Business Knowledge Series,
Dallas, TX.
Sep 15 Net Lift Models: Optimizing the Impact of Your Marketing Efforts, SAS Business Knowledge Series,
Minneapolis, MN.
Sep 17-18 Propensity Score Matching, Adjustment, and Randomized Experiments, SAS Business Knowledge Series,
New York, NY.
Sep 17-18 Credit Scorecard Development and Implementation, SAS Business Knowledge Series,
Atlanta, GA.
Sep 18-19 Data Visualization, by U. Cincinnati
Cincinnati, OH, USA.
Sep 20 thru Oct 18 (5 Sunday classes) Data Science with Python: Data Analysis and Visualization, NYC Data Science Academy
New York, NY, USA.
Sep 20 thru Oct 18 (5 Sunday classes) Data Science with Python: Machine Learning, NYC Data Science Academy
New York, NY, USA.
Sep 21-22 Brand Management Using SAS Text Miner, SAS Business Knowledge Series,
Atlanta, GA.
Sep 21 - Dec 11 12-Week Full-Time Data Science Bootcamp, by NYC Data Science Academy
New York, NY, USA.
Sep 21 - Dec 15 Data Science Bootcamp, by Metis
New York City, NY, USA.
Sep 23-25 Data Mining: Principles and Best Practices, SAS Business Knowledge Series,
New York, NY.
Sep 23-25, Sep 30-Oct. 2 (six half-day sessions) Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS®, SAS Business Knowledge Series,
Live Web.
Sep 24-25 Best Practices in Demand-Driven Forecasting, SAS Business Knowledge Series,
Chicago, IL.
Sep 24-25 Survival Data Mining Using SAS® Enterprise Miner™ Software, SAS Business Knowledge Series,
Atlanta, GA.
Courses at Predictive Analytics World Boston
Sep 27 R For Predictive Modeling Hands-On: Business and Healthcare, This one-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
Sep 27 Big Data: Proven Methods You Need to Extract Big Value, This one-day workshop reviews major big data success stories that have transformed businesses and created new markets. Instructor: Vladimir Barash, Senior Researcher, Graphika
Sep 30 Modeling Methods: The Best and the Worst of Predictive Analytics, This one-day session reveals the key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits. Instructor: Dr. John Elder, CEO and Founder, Elder Research, Inc.
Sep 30 Supercharging Prediction with Ensemble Models, This one-day workshop dives into the key ensemble approaches including Bagging, Random Forests, and Stochastic Gradient Boosting. Instructor: Dean Abbott, President, Abbott Analytics
Sep 30 Predictive Analytics in Healthcare: Techniques, Opportunities, and Challenges, This one-day workshop will focus on increasing quality of care, prevent adverse events, and decreasing costs using predictive analytics. Instructors: Ken Yale, JD, DDS, Linda A. Winters-Miner, PhD, Nephi Walton, MS in Bioinformatics.
Oct 1 Advanced Methods Hands-On: Predictive Modeling Techniques, This is a one-day workshop. Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software. Instructor: Dean Abbott, President, Abbott Analytics
On-Demand Predictive Analytics Applied - An Online Introduction, New to predictive analytics? Take this online course before Predictive Analytics World Boston instructed by the chair of PAW to ramp up before the conference. On-demand access at any time. Instructor: Eric Siegel, PhD, Conference Chair, Predictive Analytics World
Sep 28 - Oct 1 Oracle Advanced Analytics: Data Mining + Enterprise R, by Oracle
Cambridge, MA, USA.
Sep 28-29 (two half-day sessions) Forecast Value Added Analysis, SAS Business Knowledge Series,
Live Web.
Sep 29 Robust Regression Techniques in SAS/STAT®, SAS Business Knowledge Series,
Live Web.

October 2015

WhenEvent
Oct 6-9 (four half-day sessions) Structural Equation Modeling Using SAS®, SAS Business Knowledge Series,
Live Web.
Oct 7-8 (two half-day sessions) Analytics: Putting It All to Work, SAS Business Knowledge Series,
Live Web.
Oct 8-9 Statistical Learning and Data Mining III: Ten Hot Ideas for Learning from Data, by Trevor Hastie and Robert Tibshirani, Stanford
New York, NY, USA.
Oct 13-14 Data Science: Building Recommender Systems with SAS and Hadoop, SAS Business Knowledge Series,
New York, NY.
Oct 13-15 Survival Data Mining: A Programming Approach, SAS Business Knowledge Series,
New York, NY.
Oct 16 - Dec 12 Certificate course in Data Science, University of Applied Sciences Brandenburg
Brandenburg, Germany.
Oct 24 Silicon Valley Data Science Camp, By SFBayACM
San Jose, CA, USA.
Oct 28-29 (two half-day sessions) Imputation Techniques in SAS®, SAS Business Knowledge Series,
Live Web.
Oct 31 Data Mining & Machine Learning with R, By District Data Labs
Arlington, VA, USA.

November 2015

WhenEvent
Nov 2 Analytics: Putting It All to Work, SAS Business Knowledge Series,
San Francisco, CA.
Nov 2 Building a Django Data Product Online, By District Data Labs
online.
Nov 2 - Dec 18 6-Week Intensive Data Engineering Bootcamp, by NYC Data Science Academy
New York, NY, USA.
Nov 3-6 Credit Risk Modeling Using SAS®, SAS Business Knowledge Series,
San Francisco, CA.
Nov 3-6 (four half-day sessions) Survival Data Mining Using SAS® Enterprise Miner™ Software, SAS Business Knowledge Series,
Live Web.
Nov 4-6 Strategies and Concepts for Data Scientists and Business Analysts, SAS Business Knowledge Series,
Chicago, IL.
Nov 5-6 Data Mining, U. of Cincinnati
Cincinnati, OH, USA.
Nov 5-6, 9-10, 12-13 (six half-day sessions) Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS®, SAS Business Knowledge Series,
Live Web.
Nov 7 Analyzing Social Media Data with R, By District Data Labs
Arlington, VA, USA.
Nov 8 - Nov 26 Big Data and Hadoop Course, By DeZyre, certified by IBM
online.
Nov 8 - Dec 13 Data Science in R Programming Course, By DeZyre, certified by IBM
online.
Nov 9-10 Explaining Analytics to Decision Makers: Insights to Action , By Jeff Zeanah
New York, NY, USA.
Nov 10-11 Data Exploration & Visualization, by Eileen McDaniel and Stephen McDaniel, Freakalytics, LLC. Learn methodologies, processes and essential tools for exploring and visualizing data in order to derive insights and knowledge.
Baltimore, MD, USA.
Nov 10 - Mar 10 The Data Science for Internet of Things - practitioner course, By Ajit Jaokar and Paul Katsande, FutureText
London, UK or online.
Nov 14 - Dec 27 Data Science in Python Course, By DeZyre, certified by IBM
online.
Nov 13-15 Big Data Bootcamp, by Global Big Data Conference
Santa Clara, CA, USA.
Nov 16-20 Machine Learning for R&D Specialists , by perClass
Delft, The Netherlands.
Nov 18-19 Essential Practice Skills for High-Impact Analytics Projects, By Patrick Noonan. Learn practical frameworks and systematic processes for addressing complex, real-world problems and how to facilitate effective action.
Baltimore, MD, USA.
Nov 19-20 Survival Data Mining Using SAS® Enterprise Miner™ Software, SAS Business Knowledge Series,
New York, NY.
Nov 19-20 Credit Scorecard Development and Implementation, SAS Business Knowledge Series,
San Francisco, CA.
Nov 21 Natural Language Processing with R Workshop, By District Data Labs
Arlington, VA, USA.
Nov 21 - Dec 31 Hackerday-Learn to Code by working on Hands-On Projects, By DeZyre
online.
Nov 27 - Dec 31 Data Science in R Programming, By DeZyre, certified by IBM
online.
Nov 28 - Dec 31 Big Data and Hadoop Course, By DeZyre, certified by IBM
online.
Nov 29 - Dec 31 Data Science in Python Course, By DeZyre, certified by IBM
online.

December 2015

WhenEvent
Nov 30, Dec 2, 4, 7, 9, 11 (six half-day sessions) Strategies and Concepts for Data Scientists and Business Analysts, SAS Business Knowledge Series,
Live Web.
Dec 1-3 Data Mining Techniques: Theory and Practice, Presented by Gordon S. Linoff, co-founder of Data Miners, Inc. and co-author of Data Mining Techniques and Mastering Data Mining. Part of SAS Business Knowledge Series
Irvine, CA, USA.
Dec 2,3,4 Data Science Training, Attend one, two, or all three days. By Salford Systems
Online and in San Diego, CA.
Dec 1-3, 8-10 (six half-day sessions) Survival Data Mining: A Programming Approach, SAS Business Knowledge Series,
Live Web.
Dec 2-4 Data Science Training, By Salford Systems
Online or San Diego, CA.
Dec 3-31 Hadoop Administrator Training, By DeZyre, certified by IBM
online.
Dec 3-31 NoSQL Database Training, By DeZyre, certified by IBM
online.
Dec 7-9 Advanced Analytics in a Big Data World, SAS Business Knowledge Series,
Rockville, MD.
Dec 7-9 Advanced Topics in Applied Econometrics, SAS Business Knowledge Series,
New York, NY.
Dec 10-11 Fraud Detection Using Supervised, Unsupervised, and Social Network Analytics, SAS Business Knowledge Series,
Rockville, MD.
Dec 10-11 Advanced SQL, dimensional modeling, and data warehousing, By UC Center for Business Analytics
Cincinnati, OH, USA.
Dec 14-15 Customer Lifecycle Management Using SAS®, SAS Business Knowledge Series,
San Francisco, CA.

 
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