Training
Post-Conference
In addition to the two-day conference, Analytics 2013 offers the latest hands-on technical training in the industry. Post-conference training prices are included in Conference Packages 1-4, which include the price of the conference plus one, two, three, or four days of training. When registering, select your desired conference package, and then select the training classes you'd like to attend.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 has become 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 materials are provided, including selected papers, tutorials and guidelines.View outline
Wednesday-Friday, Oct 23-25, 8:30am - 5pm
Advanced Topics in Applied Econometrics
This sequel to Introduction to Applied Econometrics focuses on intermediate/advanced topics in working with econometric models. This course will enable analysts to better understand their economic/business landscape and to improve their ability to make sound forecasts. Through applications, participants gain knowledge of the practical elements of applied econometric analysis. The overall aims are to sharpen the quantitative, statistical, and analytical skills of participants in dealing with problems and issues related to business and economics as well as to improve communication skills in reporting findings to decision-makers.View outline
Wednesday-Friday, Oct 23-25, 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).View outline
Wednesday-Friday, Oct 23-25, 8:30am - 5pm
Building and Solving Optimization Models with SAS/OR
This course focuses on formulating and solving mathematical optimization 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.View outline
Wednesday-Friday, Oct 23-25, 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.View outline
Wednesday-Friday, Oct 23-25, 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, as well as 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.View outline
Wednesday-Friday, Oct 23-25, 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.View outline
Wednesday-Friday, Oct 23-25, 8:30am - 5pm
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. You learn to manage default settings to improve forecast accuracy, produce forecasts and reconcile them across hierarchies, and produce forecasts in an appropriate form for integration with a business intelligence solution. The course is designed for business analysts and others who want to create business forecasts using SAS Forecast Server. It is appropriate for analysts in any industry, including retail, financial services, manufacturing, and pharmaceuticals.View outline
Wednesday-Thursday, Oct 23-24, 8:30am - 5pm
Net Lift Models: Optimizing the Impact of Your Marketing Efforts
The true effectiveness of a marketing campaign is not the response rate; it is the incremental impact. That is, true effectiveness is additional revenue - directly attributable to the campaign - that would not otherwise have been generated. The problem is that targeting strategies often are not designed to maximize the incremental impact. Typical targeting models are successful at finding clients who are interested in the product, but too often these clients would have bought the product regardless of whether they received a promotion. In such cases, the incremental impact is insignificant, and marketing dollars could have been spent elsewhere. Incremental lift models are designed to maximize incremental impact (that is, the incremental lift over the control group) by targeting the undecided clients who can be motivated by marketing.View outline
Wednesday-Thursday, Oct 23-24, 8:30am - 5pm
SAS High-Performance Analytics Procedures
This course relates the new functionality in the SAS High-Performance Analytics procedures to classic SAS procedures with similar functionality. The course also addresses high-performance procedures that have no classic counterpart. This course is intended for experienced statisticians, predictive modelers, econometricians and operations researchers who need to learn the functionality and use of SAS High-Performance Analytics procedures.View outline
Wednesday-Thursday, Oct 23-24, 8:30am - 5pm
Text Analytics with 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 will 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.View outline
Wednesday-Thursday, Oct 23-24, 8:30am - 5pm
One-Day Courses
SAS Enterprise Miner High-Performance Data Mining Nodes
This course highlights the similarities and differences between the High Performance nodes in SAS Enterprise Miner 12.2, and the classical nodes. The course is intended for experienced users of SAS Enterprise Miner 5.3 or higher.View outline
Wednesday, Oct 23, 8:30am - 5pm
Thursday, Oct 24, 8:30am - 5pm
Friday, Oct 25, 8:30am - 5pm
Visual Analytics: Getting Started
This course teaches the basics on how to explore data and build reports using SAS Visual Analytics. This course is intended for Business Analysts who need to learn the basics of how to use the functionality provided by SAS Visual Analytics.View outline
Wednesday, Oct 23, 8:30am - 5pm
Thursday, Oct 24, 8:30am - 5pm
Friday, Oct 25, 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.
