SAS Text Miner

Cím Szint Képzési forma
Strategies and Concepts for Data Scientists and Business Analysts Business Knowledge Series
Note: This course does not provide comprehensive training on software products, but you do use SAS Visual Statistics, SAS Enterprise Miner, and SAS Text Miner software to complete class assignments. Prior knowledge of these software products is not required.

To be effective in a competitive business environment, analytics professionals need to use descriptive, predictive, and prescriptive analytics to translate information into decisions. An effective analyst also should be able to identify the analytical tools and data structures to anticipate market trends.

In this course, you gain the skills that data scientists and statistical business analysts must have to succeed in today's data-driven economy. Learn about visualizing big data, how predictive modeling can help you find hidden nuggets, the importance of experiments in business, and the kind of value you can gain from unstructured data.

This course combines scheduled, instructor-led classroom or Live Web sessions with small-group discussion, readings, and hands-on software demonstrations, for a highly engaging learning experience.

3 Intermediate Classroom Live Web Classroom
Text Analytics Using SAS Text Miner
This course describes the functionality of SAS Text Miner software, which is a separately licensed component that is 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.

3 Intermediate Classroom Live Web Classroom e-Learning