Data Mining Techniques: Predictive Analytics on Big Data

Course code: MLDB52

This course introduces applications and techniques for assaying and modeling large data. The course also presents basic and advanced modeling strategies, such as group-by processing for linear models, random forests, generalized linear models, and mixture distribution models. Students perform hands-on exploration and analyses using tools such as SAS Enterprise Miner, SAS Visual Statistics, and SAS In-Memory Statistics.
1 080 EUR

1 307 EUR including VAT

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Course dates

Starting date: Upon request

Type: E-learning

Course duration: 14 hours

Language: en

Price without VAT: 1 080 EUR


Type Course
Language Price without VAT
Upon request E-learning 14 hours en 1 080 EUR Register
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Target group

Business analysts, data analysts, marketing analysts, marketing managers, data scientists, data engineers, financial analysts, data miners, statisticians, and others who work in related fields

Course structure


  • Introduction to big data and SAS big data tools.

Data Exploration

  • Data exploration and clustering (SAS Visual Statistics).
  • Data exploration and dimension reduction.

Analysis Methods for Categorical Targets

  • Categorical targets (SAS Visual Statistics).
  • Categorical targets (SAS In-Memory Statistics).

Analysis Methods for Interval Targets

  • Interval targets (SAS Visual Statistics).
  • Interval targets (SAS In-Memory Statistics).
  • Interval targets (SAS Enterprise Miner).


Before attending this course, you should have at least an introductory-level familiarity with basic statistics and linear models. Previous SAS software experience is helpful but not required.

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