Predictive Modeling Using Logistic Regression Training in Belgium

  • Learn via: Classroom
  • Duration: 4 Days
  • Price: From €1,547+VAT
We can host this training at your preferred location. Contact us!

This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure.

This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets.

Who should attend:

Modelers, analysts, and statisticians who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance, and telecommunications industries

Before attending this course, you should:

  • Have experience executing SAS programs and creating SAS data sets, which you can gain from the SAS Programming 2: Data Manipulation Techniques course.
  • Have experience building statistical models using SAS software.
  • Have completed a statistics course that covers linear regression and logistic regression, such as the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course..


This course addresses SAS/SHARE software.

Learn how to:

  • Use logistic regression to model an individual's behavior as a function of known inputs.
  • Create effect plots and odds ratio plots using ODS Statistical Graphics.
  • Handle missing data values.
  • Tackle multicollinearity in your predictors.
  • Assess model performance and compare models.

Predictive Modeling

  • Business applications.
  • Analytical challenges.


Fitting the Model

  • Parameter estimation.
  • Adjustments for oversampling.


Preparing the Input Variables

  • Missing values.
  • Categorical inputs.
  • Variable clustering.
  • Variable screening.
  • Subset selection.


Classifier Performance

  • ROC curves and lift charts.
  • Optimal cutoffs.
  • K-S statistic.
  • c statistic.
  • Profit.
  • Evaluating a series of models.



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

Upcoming Trainings

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

Classroom / Virtual Classroom
10 augustus 2024
Brüksel, Brugge, Anvers
4 Days
Classroom / Virtual Classroom
10 augustus 2024
Brüksel, Brugge, Anvers
4 Days
Classroom / Virtual Classroom
09 augustus 2024
Brüksel, Brugge, Anvers
4 Days
Classroom / Virtual Classroom
12 augustus 2024
Brüksel, Brugge, Anvers
4 Days
Classroom / Virtual Classroom
26 augustus 2024
Brüksel, Brugge, Anvers
4 Days
Classroom / Virtual Classroom
06 september 2024
Brüksel, Brugge, Anvers
4 Days
Classroom / Virtual Classroom
13 september 2024
Brüksel, Brugge, Anvers
4 Days
Classroom / Virtual Classroom
17 oktober 2024
Brüksel, Brugge, Anvers
4 Days
Predictive Modeling Using Logistic Regression Training Course in Belgium

Belgium, or officially known as Kingdom of Belgium, is located in Northwestern Europe. With the country's 11.5 million population, Belgium is the 6th most densely populated country in Europe. The capital and largest city is Brussels. And other major and popular cities are Antwerp, Ghent, Charleroi, Liège, Bruges, Namur, and Leuven. The population of Belgium consists mostly of Flemings and Walloons. While the Flemings speak Dutch, the Walloons speak French.

The country is known for moules frites (mussels served with french fries) as well as waffles and of course; Belgian chocolate. Chocolate is one of Belgium’s main food exports. Another thing that Belgium is known for is its beautiful city Bruges. Bruges is one of Europe’s most well-preserved medieval towns and has its beautiful canals.

At Bilginç IT Academy, we understand the unique requirements of Belgium and incorporate innovative training methodologies to meet them. Explore our extensive training catalog, featuring diverse Certification Exam preparation courses and accredited corporate training programs that will revolutionize your perception of IT training.
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