Get results with SAS data mining courses

Learn advanced processes and state-of-the-art techniques from leading industry experts and get more from your data. Spring classes are filling quickly, so register today!



SASThe SAS® Business Knowledge Series hosts a variety of courses appropriate for all levels of data miners. Learn advanced processes and state-of-the-art techniques from leading industry experts and get more from your data.

Advanced Analytics for the Modern Business Analyst delivers a unique learning experience that will provide analysts with the tools to succeed in a highly analytical and data-driven economy.

Analytics: Putting It All to Work addresses how you can cope with the problem of information overload and create real business value from your data.

Applying Survival Analysis to Business Time-to-Event Problems shows you how to calculate the future value of your customers by understanding their behaviors that have a time-to-event component using SAS® Enterprise Guide®.

Data Mining: Principles and Best Practices, introduces the power and potential of data mining and shows you how to discover useful patterns and trends from your data.

Data Mining Techniques: Theory and Practice explores the inner workings of data mining techniques and how to make them work for you.

Exploratory Analysis for Large and Complex Problems Using SAS® Enterprise Miner™ presents highly pragmatic and practical methods to help analysts deal with the magnitude of data present in today's complex problems.

Net Lift Models: Optimizing the Impact of Your Marketing Efforts demonstrates how to build Net Lift Models that optimize the incremental impact of marketing campaigns, covering the pros and cons of various core analytical approaches.

Survival Data Mining: Predictive Hazard Modeling for Customer History Data identifies the benefits and pitfalls of using survival analysis for business intelligence.

Text Analytics and Sentiment Mining Using SAS® will help you organize, manage, and mine textual data to generate customer insights and to understand and predict customer sentiments.

Spring classes are filling quickly; register today!