Technologies / Data & Analytics

Data Mining - From Theory to Practice

Advanced training on data exploration techniques and tools, combining theory with practical application in analytical projects. Participants learn data mining methodologies, analysis algorithms, and result interpretation techniques through workshops on real datasets. The program progresses from fundamental concepts to advanced techniques, enabling independent data exploration project execution.

Why choose this training?

Growing market demands mean that, technical competencies have become a critical asset. Advanced training on data exploration techniques and tools, combining theory with practical application in analytical projects.

Upon completion, participants will be able to: Ability to design data mining processes, Knowledge of advanced analysis algorithms, Ability to interpret analysis results, Ability to select appropriate techniques. These competencies directly translate into higher effectiveness in IT projects.

This training is particularly valuable for: Data analysts and Data Scientists, Business Intelligence specialists, Researchers involved in data analysis.

What makes our approach unique?

At EITT, we believe the best learning happens through practice. Over 3 days of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but practical application skills.

With over 2,500 trainings in our portfolio and a 4.8/5 participant rating, EITT is a trusted partner in IT competency development for organizations of all sizes. Our trainers are experienced practitioners who share up-to-date knowledge and proven solutions.

Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.

Benefits

Ability to design data mining processes
Knowledge of advanced analysis algorithms
Ability to interpret analysis results
Ability to select appropriate techniques
Knowledge of data preparation
Knowledge of exploration tools
Ability to assess model quality
Certificate confirming specialization

Who is this training for?

Data analysts and Data Scientists

Business Intelligence specialists

Researchers involved in data analysis

Data engineers

Business analytics consultants

Machine learning specialists

Experienced business analysts

Analytical solution designers

Prerequisites

Statistics and data analysis fundamentals
Python/R programming knowledge
Experience working with data
Understanding of machine learning

Training program

Data preparation
Exploratory data analysis
Model quality measures
Exploration techniques
Classification and regression
Clustering and segmentation
Association analysis

Advanced methods
Dimensionality reduction

Deep learning in data mining
Text and unstructured data analysis
Implementation and evaluation

Result interpretation
Discovery visualization
Process documentation

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Frequently asked questions

What are the prerequisites for this training?

For Data Mining - From Theory to Practice we recommend: Statistics and data analysis fundamentals; Python/R programming knowledge; Experience working with data.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts and Data Scientists; Business Intelligence specialists; Researchers involved in data analysis.