SAS Text Miner
Názov | Úroveň | Typ školenia |
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Strategies and Concepts for Data Scientists and Business Analysts ![]() 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 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 | ![]() ![]() ![]() ![]() ![]() |
Big Data, Data Mining et Machine Learning ![]() Cette formation introduit les concepts du calcul analytique et du Data Mining dont la modélisation prédictive. Divers sujets sont couverts allant d’une description des environnements informatiques modernes à la mise en œuvre de la méthodologie du Data Mining. Vous bénéficierez ainsi d’une introduction aux algorithmes de Data Mining, à la segmentation, au Data Mining appliqué aux séries chronologiques et au Text Mining. Ces concepts sont illustrés au travers d’exemples concrets. Vous apprendrez à : |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |
Text Analytics Using SAS Text Miner
This course describes the functionality of SAS Text Miner, 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. The e-learning format of this course includes Virtual Lab time to practice. |
3 Intermediate | ![]() ![]() ![]() ![]() ![]() |