Data Mining and Business Analytics with RapidMiner and RapidAnalytics 3

This training course is a compact two day introduction into the most advanced possibilities for data mining and business analytics with the software RapidMiner and the data analysis server RapidAnalytics. After this training course the participants will have a deeper understanding of how Rapid-I’s software products are used in complex settings and in non-standard situations. In particular, automatic process optimizations as well as the handling of larger data sets are covered in this course. Due to a high number of practical exercises, the participants will be able to transfer the gained knowledge to own data mining problems and solve them quickly and easily.

After the training course the participants will have the ability to

• handle larger data sets,
• control process execution,
• make use of advanced modeling and preprocessing techniques,
• automatically optimize analysis processes.

Details

• Course ID: 103
• Number of days: 2 days
• Location: Dortmund, Germany
• Target audience: users, analysts, developers, administrators
• Previous knowledge: foundations 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” and “Data Mining / Predictive Analytics with RapidMiner and RapidAnalytics 2” before visiting this one.

Topics: The topics include:

• Handling large data sets
• Streaming data from databases
• Executing database queries
• Knowledge-based sampling
• Appending results to tables
• Choosing efficient models
• Scaling up with RapidAnalytics
• Control process execution
• Remember process results
• Recall process results
• Loops
• Looping over examples
• Looping over attributes
• Using branches and conditions
• Exception handling
• Definition of macros
• Usage of macros
• Definition of log values
• Transformation of log tables
• Clearing log tables
• Transforming log tables to data
• Advanced modeling and preprocessing
• Feature construction
• Changing prediction thresholds
• Cost-sensitive learning
• Clustering with K-Means
• Automatic process optimization
• Automatic selection of features
• Automatic optimization of parameters
• Automatic optimization of the process structure

Prices

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

You may also be interested in this/these product(s)

Text Mining and Web Mining with RapidMiner and RapidAnalytics €1725.50

Certification Exam: Expert Level €238.00