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Training and Certification

Post-conference Training

The following courses will be offered at Analytics 2014. These courses are offered to conference attendees at a significant discount off the standard course fees. Pricing for the courses is included in the conference package pricing. You can register for the courses when you register for the conference.

Two-Day Courses

Forecasting Using SAS Forecast Server Software

This course prepares you to generate large volumes of forecasts automatically using the SAS Forecast Studio interactive interface.
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Wednesday-Thursday, Oct 22-23; 8:30am - 5pm

Text Analytics Using SAS Text Miner

This course covers the functionality of SAS Text Miner software, which is a separately licensed component available for SAS Enterprise Miner. In this course, you learn to use SAS Text Miner to uncover underlying themes or concepts contained in large document collections, automatically group documents into topical clusters, classify documents into predefined categories, and integrate text data with structured data to enrich predictive modeling endeavors.
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Wednesday-Thursday, Oct 22-23; 8:30am - 5pm


Three-Day Courses

Advanced Analytics for Customer Intelligence Using SAS

Many companies have gathered huge amounts of customer data about marketing success, use of financial services, online usage, and even fraud behavior. Given recent trends and needs such as mass customization, personalization, Web 2.0, one-to-one marketing, risk management, and fraud detection, it becomes increasingly important to extract, understand, and exploit analytical patterns of customer behavior and strategic intelligence. This course helps clarify how to successfully adopt recently proposed state-of-the art analytical and data-mining techniques for advanced customer intelligence applications. This highly interactive course provides a sound mix of both theoretical and technical insights as well as practical implementation details and is illustrated by several real-life cases. Background material such as selected papers, tutorials, and guidelines are provided.
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Wednesday-Friday, Oct 22-24; 8:30am - 5pm

Advanced Predictive Modeling Using SAS Enterprise Miner 13.1

This course covers advanced topics using SAS Enterprise Miner including how to optimize the performance of predictive models beyond the basics. The course continues the development of predictive models that begins in the Applied Analytics Using SAS Enterprise Miner course, for example, by making use of the two-stage modeling node. In addition, some of the newest modeling nodes and latest variable selection methods are covered. Tips for working in an efficient way with SAS Enterprise Miner complete the course.
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Wednesday-Friday, Oct 22-24; 8:30am - 5pm

Applied Analytics Using SAS Enterprise Miner

This course covers the skills required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models).
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Wednesday-Friday, Oct 22-24; 8:30am - 5pm

Building and Solving Optimization Models with SAS/OR

This course focuses on formulating and solving mathematical optimization models using the OPTMODEL procedure, from inputting data to interpreting output and generating reports. The course covers linear, integer, mixed integer, and nonlinear programming problems, with an emphasis on model formulation and construction.
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Wednesday-Friday, Oct 22-24; 8:30am - 5pm

Customer Segmentation Using SAS Enterprise Miner

No marketing or customer contact strategy can be effective without segmentation. While the concept of segmentation is deceptively simple, in practice it is extremely difficult to execute. Emphasizing practical skills as well as providing theoretical knowledge, this hands-on, comprehensive course covers segmentation analysis in the context of business data mining. Topics include the theory and concepts of segmentation, as well as the main analytic tools for segmentation: hierarchical clustering, k-means clustering, normal mixtures, RFM cell method, text-based clustering, time-series clustering, and SOM/Kohonen method. The course focuses more on practical business solutions rather than statistical rigor. Therefore, business analysts, managers, marketers, customer intelligence analyst, programmers, and others can benefit from this course.
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Wednesday-Friday, Oct 22-24; 8:30am - 5pm

Data Mining Techniques: Theory and Practice

This course introduces a data mining methodology that is a superset to the SAS SEMMA methodology around which SAS Enterprise Miner is organized. The course also introduces a wide range of data mining algorithms and both theoretical knowledge and practical skills. In this class, you work through all the steps of a data mining project, beginning with problem definition and data selection, and continuing through data exploration, data transformation, sampling, portioning, modeling, and assessment.
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Wednesday-Friday, Oct 22-24; 8:30am - 5pm

Forecasting Using SAS Software: A Programming Approach

This course teaches analysts how to use SAS/ETS software to diagnose systematic variation in data collected over time, create forecast models to capture the systematic variation, evaluate a given forecast model for goodness-of-fit and accuracy, and forecast future values using the model. Topics include Box-Jenkins ARIMA models, dynamic regression models, and exponential smoothing models.
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Wednesday-Friday, Oct 22-24; 8:30am - 5pm

Social Network Analysis for Business Applications

Go beyond the traditional clustering and predictive models to identify patterns in your business data. Social network analysis describes customers' behavior, but not in terms of their individual attributes. Rather than basing models on static individual profiles, social network analysis depicts behavior in terms of how individuals relate to each other. In practical terms this approach highlights connections between individuals and how important they might be in viral effect throughout communities. For business purposes social network analysis can be employed to avoid churn, diffuse products and services, detect fraud and abuse, among many other applications. This course shows you how to analyze your customers, focusing on their relationships within the network, and, therefore, how to exploit their roles in the communities identified to improve business performance.
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Wednesday-Friday, Oct 22-24; 8:30am - 5pm

Using SAS High-Performance Forecasting Software

This course teaches you how to create and manage a complete forecasting system using the SAS Forecast Server procedures, giving you the power to confidently plan your business operations.
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Wednesday-Friday, Oct 22-24; 8:30am - 5pm




Note: No food or drink is allowed in the computer lab. Badges must be worn at all times during class and labs.

SAS reserves the right to cancel course dates. If a course is cancelled for any reason, SAS will return prepaid registration fees. SAS is not responsible for airline penalties related to the cancellation of SAS courses or events. Please be aware of the airline restrictions regarding nonrefundable airline tickets when purchasing an airline ticket.
This list was built using SAS software.