SAS Text Miner

Название Уровень Форматы обучения
Text Analytics and Sentiment Mining Using SAS Business Knowledge Series
Big data: it's unstructured, it's coming at you fast, and there's a lot of it. In fact, the majority of big data is unstructured and text oriented, thanks to the proliferation of online sources such as blogs, e-mails, and social media. While the amount of textual data are increasing rapidly, businesses' ability to summarize, understand, and make sense of such data for making better business decisions remain challenging. No marketing or customer intelligence program can be effective today without thoroughly understanding how to analyze textual data. Emphasizing practical skills as well as providing theoretical knowledge, this hands-on course takes a comprehensive look at how to organize, manage, and mine textual data for extracting insightful information from large collections of documents and using such information for improving business operations and performance.

3 Intermediate Classroom
Big Data, Data Mining et Machine Learning Business Knowledge Series
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 :
  • Utiliser la méthodologie du Data Mining
  • Appliquer des algorithmes de modélisation de pointe sur vos données
  • Mettre en œuvre les bonnes pratiques pour développer et maintenir des modèles analytiques.
  • Explorer comment créer de la valeur à l’aide de l’analytique
  • Evaluer les différents modèles de machine Learning.
  • Expliquer de manière simple le concept de data Mining et les méthodes de machine Learning.
  • Utiliser des données non structurées dans votre modélisation.
  • Construire des segments pour vos applications métiers.

  • 3 Intermediate Live Web Classroom
    Strategies and Concepts for Data Scientists and Business Analysts Business Knowledge Series
    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 Classroom Live Web Classroom
    Аналитика текстовой информации с использованием SAS Text Miner
    В этом курсе изучается функциональность программного обеспечения SAS Text Miner – отдельно лицензируемой компоненты для SAS Enterprise Miner. В курсе объясняется, как использовать SAS Text Miner для обнаружения тем или понятий, содержащихся в больших коллекциях документов, автоматической группировки документов на тематические кластеры, классификации документов по заданным категориям, интеграции текстовой информации со структурированными данными для обогащения данных для статистического моделирования.Данный курс может помочь при подготовке к следующему сертификационному экзамену: SAS Text Analytics, Time Series, Experimentation and Optimization.

    3 Intermediate Classroom Live Web Classroom e-Learning