Don’t just use data mining and machine learning without understanding how it works. Get the insights in the most popular algorithms. The focus of the training is the theoretical concepts of data mining. The importance for the attendees to fully understand them is the first training goal.  The software part is used just for showing the concepts and enriching the concept with examples.

Course format: This workshop contains about 60% theory and demos explained by the Trainer. About 40% of the time attendees perform practical exercise. After every module the group discuss the results of the lab to make sure that the concept and the practical scenarios are well understood.

Attendees should have basic understanding of data analysis, relational data models; knowledge in statistics and mathematics is a very desired to get the maximum results of this training.

• Understand how to work with data
• Prepare useful derived variable, or to smooth values of a variable appropriately, or to discretize them correctly
• Use different tools like SPSS
• Use statistics for data overview
• Prepare different derived variables
• Measure information in variables
• Understand the preparation concepts, the algorithms and their typical usage

• Module 1: Introduction to data mining and/or machine learning
• Module 2: Understanding the data and the importance of data preparation
• Module 3: Classification, prediction and estimation algorithms
• Module 4: Forecasting and unsupervised algorithms
• Module 5: Data mining practical example
• Module 6: Analyzing texts
• Module 7: Data mining project example: fraud detection