Applied Analytics Using SAS® Enterprise Miner153 Training in Finland

  • Learn via: Classroom
  • Duration: 3 Days
  • Price: From €1,930+VAT
We can host this training at your preferred location. Contact us!

This course covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models). This course is appropriate for SAS Enterprise Miner 5.3 up to 15.1.

Before attending this course, you should be acquainted with Microsoft Windows and Windows software. In addition, you should have at least an introductory-level familiarity with basic statistics and regression modeling. Previous SAS software experience is helpful but not required.

This course addresses SAS Enterprise Miner software.

Who should attend
Data analysts, qualitative experts, and others who want an introduction to SAS Enterprise Miner

  • Define a SAS Enterprise Miner project and explore data graphically.
  • Modify data for better analysis results.
  • Build and understand predictive models such as decision trees and regression models.
  • Compare and explain complex models.
  • Generate and use score code.
  • Apply association and sequence discovery to transaction data.

Introduction

  • Introduction to SAS Enterprise Miner.

Accessing and Assaying Prepared Data

  • Creating a SAS Enterprise Miner project, library, and diagram.
  • Defining a data source.
  • Exploring a data source.

Introduction to Predictive Modeling: Predictive Modeling Fundamentals and Decision Trees

  • Introduction.
  • Cultivating decision trees.
  • Optimizing the complexity of decision trees.
  • Understanding additional diagnostic tools (self-study).
  • Autonomous tree growth options (self-study).

Introduction to Predictive Modeling: Regressions

  • Selecting regression inputs.
  • Optimizing regression complexity.
  • Interpreting regression models.
  • Transforming inputs.
  • Categorical inputs.
  • Polynomial regressions (self-study).

Introduction to Predictive Modeling: Neural Networks and Other Modeling Tools

  • Input selection.
  • Stopped training.
  • Other modeling tools (self-study).

Model Assessment

  • Model fit statistics.
  • Statistical graphics.
  • Adjusting for separate sampling.
  • Profit matrices.

Model Implementation

  • Internally scored data sets.
  • Score code modules.

Introduction to Pattern Discovery

  • Cluster analysis.
  • Market basket analysis (self-study).

Special Topics

  • Ensemble models.
  • Variable selection.
  • Categorical input consolidation.
  • Surrogate models.
  • SAS Rapid Predictive Modeler.

Case Studies

  • Banking segmentation case study.
  • Website usage associations case study.
  • Credit risk case study.
  • Enrollment management case study.


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Finland facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
03 elokuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
09 elokuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
11 elokuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
12 elokuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
22 elokuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
02 syyskuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
10 syyskuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
19 syyskuuta 2024
Helsinki, Espoo
3 Days
Applied Analytics Using SAS® Enterprise Miner153 Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

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Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.
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