Predictive Modeling Using Logistic Regression Training in Malta

  • Learn via: Classroom
  • Duration: 4 Days
  • Price: From €1,547+VAT
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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 Malta facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
10 August 2024
Birkirkara, Qormi, Mosta
4 Days
Classroom / Virtual Classroom
10 August 2024
Birkirkara, Qormi, Mosta
4 Days
Classroom / Virtual Classroom
09 August 2024
Birkirkara, Qormi, Mosta
4 Days
Classroom / Virtual Classroom
12 August 2024
Birkirkara, Qormi, Mosta
4 Days
Classroom / Virtual Classroom
26 August 2024
Birkirkara, Qormi, Mosta
4 Days
Classroom / Virtual Classroom
06 September 2024
Birkirkara, Qormi, Mosta
4 Days
Classroom / Virtual Classroom
13 September 2024
Birkirkara, Qormi, Mosta
4 Days
Classroom / Virtual Classroom
17 October 2024
Birkirkara, Qormi, Mosta
4 Days
Predictive Modeling Using Logistic Regression Training Course in Malta

Officially known as the Republic of Malta, is an island country in the Mediterranean Sea, South of Sicily. While Malta being the world's tenth smallest country in area and fourth most densely populated sovereign country, the capital city of the island country is Valletta. Malta consists of three islands: Malta, Gozo, and Comino and Malta is the largest island among all. The official languages of Malta are Maltese and English and based on the data from 2019, the population is about 514,564.

Winter season in Malta is delightfully mild, with temperatures above 12 degrees, so it makes the Maltese Islands a perfect year-round destination. But tourists usually prefer traveling to Malta either in April, May or June. Since in those months, Malta is warm without being too hot. In the early Spring season, travelers may also enjoy the glorious wildflower season.

Enhance your IT skills with our comprehensive array of courses, spanning programming, software development, data science, and project management. Benefit from the convenience of choosing your preferred location in Malta as our experienced instructors deliver interactive training and real-world insights.

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