Before developing a course, we listen to the real needs and objectives of each client, to adjust training and get high profitability. We adjust each course to your needs.
We are also specialists in formations 'in company' tailored to the needs of each organization, where harvesting for several participants from the same company is much higher. If this is your case, contact us.
Applicable to different fields as diverse as the customer intelligence, financial scoring or predictive analysis on customer retention and loss fields, not a modern organization that does not use data mining to obtain clear competitive advantages is conceived.
In our implementations, we use advanced techniques using a variety of algorithms, manually creating decision trees, complex logic, etc.
Mining opens a field of great potential for treating large volumes of data, by performing complex calculations and simulations.
All students receiving the course will be given a certificate of attendance.
What Data Mining is. Introduction and examples
Data Mining Algorithms
- Clustering algorithms : KNN
- Decision Trees
- Linear regression
- Bayesian algorithms
Data Mining Tools : Weka
- Data Format
- Data Exploration
- Classification algorithms