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

          

Past | Apr | May | Jun | Jul | Aug | Sep |     


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 - 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 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 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.
Jun 19 Data Science Mini Training, by Salford Systems
Chicago, IL, USA.
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.
Jun 29 - Jul 10 Advanced Statistics and Data Mining Summer School,
Madrid, Spain.

July 2015

WhenEvent
Jun 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.
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.
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.

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.

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