Data Mining and Business Analytics with RapidMiner and RapidAnalytics 4

This training course is designed for individuals who wish to gain the deepest understanding of how Rapid-I's software products are used in all possible real-world data analysis situations. Beside getting the capabilities of handling more advanced data processing and modeling problems, the participants of this course will also gain a deep knowledge and experience in different application areas. Many practical exercises will be performed with the data mining suite RapidMiner. This ensures that the participants will be able to quickly transfer the gained knowledge to own prediction problems.

After the training course the participants will have the ability to

• develop scripts,
• perform additional analysis types,
• create models for different application fields,
• create predictive reports,
• integrate reports, models, and results in portals.

Details

• Course ID: 104
• Number of days: 2 days
• Location: Dortmund, Germany
• Target audience: users, analysts, developers, administrators
• Previous knowledge: good knowledge of data mining and RapidMiner
• Methods: lectures, discussions, individual and group work, exercises on realistic data.

Participants may introduce own work and project specific questions in order to find particular solutions together with the trainer and other participants. The training course addresses intermediate learners and we recommend to visit the courses “Data Mining / Predictive Analytics with RapidMiner and RapidAnalytics 1”, “Data Mining / Predictive Analytics with RapidMiner and RapidAnalytics 2” and “Data Mining / Predictive Analytics with RapidMiner and RapidAnalytics 3” before visiting this one.

Topics: The topics include:

• Development of scripts
• Writing scripts
• Accessing and changing data
• Imports
• Connect scripting with other operators
• Advanced modeling and preprocessing
• Preprocessing for frequent item set mining
• Frequent item set mining
• Association rules
• Cross distances
• Different application fields
• Creating models for direct marketing
• Creating models for fraud detection
• Creating models for churn prevention
• Creating models for failure predictions
• Creating models for sales forecastings
• Creating models for recommendation systems
• Predictive reports
• Creating reports with RapidAnalytics
• Export reports
• User management
• Integrating of Results
• Export of data
• Export of reports
• Export of other result types
• Integrating results in other portals

Prices

Value added tax (VAT) may have to be added to these prices.

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