Data Mining and Data Analysis
Advanced training on Data Mining techniques and data analysis, combining theory with practice. The course covers full data exploration cycle: from data preparation and cleaning, through analysis and modeling, to result interpretation and visualization. Participants learn various techniques and tools, working on real datasets.
Why choose this training?
Modern organizations increasingly need specialists, technical competencies have become a critical asset. Advanced training on Data Mining techniques and data analysis, combining theory with practice.
Upon completion, participants will be able to: Practical Data Mining technique knowledge, Ability to work with large datasets, Knowledge of analytical tools, Ability to interpret results. These competencies directly translate into higher effectiveness in IT projects.
This training is particularly valuable for: Data analysts, Data Scientists, Business Intelligence specialists.
What makes our approach unique?
EITT combines theoretical knowledge with intensive practical workshops. Over 4 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
- Practical Data Mining technique knowledge
- Ability to work with large datasets
- Knowledge of analytical tools
- Ability to interpret results
- Data visualization skills
- Predictive modeling competencies
Who is this training for?
Prerequisites
- Statistics fundamentals
- SQL knowledge
- Programming basics (Python/R)
- Laptop with min. 16GB RAM
- Installed analytical environment
- Basic algebra knowledge
Training program
CRISP-DM methodology
- Data and analysis types
- Environment setup
- Data preparation
Data cleaning
- Variable transformation
- Missing value handling
- Exploratory analysis
- Descriptive statistics
- Data visualization
- Pattern detection
- Predictive modeling
Regression
- Classification
- Model validation
- Unsupervised learning
- Cluster analysis
- Association rules
- Dimensionality reduction
- Time series analysis
Text Mining
- Network analysis
- Solution implementation
- Analysis automation
- System integration
- Result reporting
Final project
- Practical application
Case study
- Result presentation
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
Frequently asked questions
What are the prerequisites for this training?
For Data Mining and Data Analysis we recommend: Statistics fundamentals; SQL knowledge; Programming basics (Python/R).
What is the format and duration of this training?
The training lasts 4 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; Data Scientists; Business Intelligence specialists.
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Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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We train teams at Poland's largest companies
Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.