Training Anomaly detection using Python and R
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: AI
- TRAINING CODE: IT-AI-25
- DURATION: 2 days
- PRICE INFORMATION from: 1950 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
Advanced training in anomaly detection techniques using the Python and R languages. Participants will learn statistical and machine learning methods for identifying unusual patterns in data. The program combines statistical theory with practical implementations, enabling participants to create anomaly detection systems on their own in a business environment.
Participant profile
- Data analysts working with anomaly detection
- Data Scientists
- Systems security specialists
- Fraud detection analysts
- Machine learning engineers
- Researchers and scientists working with data
Agenda
- Basics of anomaly detection
- Types of anomalies and their characteristics
- Statistical methods
- Data preparation
- Validation of results
- Machine learning techniques
- Supervised learning in detection
- Unsupervised learning
- Ensemble methods
- Deep learning approaches
- Implementation in Python and R
- Anomaly detection libraries
- Python and R integration
- Algorithm optimization
- Visualize the results
- Practical applications
- Monitoring of systems
- Fraud detection
- Time series analysis
- Alert systems
Benefits
The participant will learn to implement advanced anomaly detection systems. The participant will gain the ability to combine statistical techniques with machine learning. The participant will be able to select appropriate methods for different types of anomalies. The participant will learn practical applications of anomaly detection in business. The participant will develop skills in working with Python and R. The participant will know how to create monitoring and alerting systems.
Required preparation of participants
- Knowledge of basic statistics
- Experience in Python programming
- Basic knowledge of R
- Knowledge of machine learning
Issues
- Statistical methods
- Machine learning algorithms
- Python and R integration
- Data preprocessing
- Validation of models
- Visualization of anomalies
- Monitoring systems
- Fraud detection
- Temporal analysis
- Algorithm optimization
Do you have any questions?
Feel free to contact us.
Monika Fengler
+48 532 081 700
monika.fengler@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
Forms of training delivery
Stationary training
- Training at the customer's premises or at a designated location
- Training room equipped with the necessary equipment
- Training materials in electronic form
- Coffee breaks and lunch
- Direct interaction with the trainer
- Networking in a group
- Workshop exercises in teams
Remote training
- Virtual training environment
- Electronic materials
- Interactive online exercises
- Breakout rooms for group work
- Technical support during the training
- Recordings of the session (optional)
Possibility of funding
The training can be financed with public funds under:
- National Training Fund (KFS)
- Development Services Base (BUR)
- EU projects implemented by PARP
- HR Academy Program (PARP)
- Regional operational programs
If you are interested in funding, our team will help you prepare the required documentation.
HAVE A QUESTION?
Contact us for more information about our training, programs and cooperation. We will be happy to answer all your inquiries!
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Do you have any questions?
Feel free to contact us.
Monika Fengler
+48 532 081 700
monika.fengler@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
FAQ - Frequently Asked Questions
- One-pager invitation with deadlines
- Project kick-off
- Strategic leadership and thinking
- Communication and Cooperation. Conflict management
- Motivating, engaging and difficult decisions in business
- Managing Change and Innovation. Leadership in crisis
- Building the organization of the future
- Best practices workshop - retrospective; creating a coherent program for middle and lower management levels























