Data Science is the extraction of knowledge from data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, and information technology, including signal/image processing, machine learning, statistical learning, pattern recognition visualization and predictive analytics, among others.

You will find in my catalog the most cutting-edge Data Science techniques encountered today in research, engineering, business and social science domains.

Within my scheme of Continuous-Training, I would be happy to work with you to customize a –Data Science Training- plan that fulfills your needs, based on the following introductory courses:

Data Mining


This two-days course provides a comprehensive introduction to Data Mining based on the platform KNIME®.

No prior programming experience or knowledge of KNIME® is required.

The topics addressed through the course are the handling of KNIME® platform, main data mining techniques, visualization and reporting, as well as programming using Workflow Diagrams.

For a more extensive description of this course, please download our Data Mining Course brochure.

Please get in touch through my contact page should you be interested in my course on this topic.




Data Analysis

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This three-days course provides a comprehensive introduction to the fundamentals of Data Analysis based on the platform KNIME®. The training is intended for people familiar with KNIME® but without prior experience in Data Analysis. Topics covered through the course are the handling of KNIME® tools for data collection, exploration, processing, visualization, as well as programming of main data analysis models using Workflow Diagrams.

For a more extensive description of this course, please download our Data Analysis Course brochure.

Please get in touch through my contact page should you be interested in my course on this topic.




Estimation, Regression & Predictive Forecasting

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Graph Theory

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Image Processing

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Machine Learning & Neural Networks

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Genetic Algorithms

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Statistics

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Time Series Analysis

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Variable selection

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Web Analytics

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