Machine Learning in banking using R
The training provides an in-depth understanding of machine learning applications in the banking sector using the R language. Participants will learn advanced financial data analysis techniques through hands-on workshops with real banking datasets. The program combines a solid theoretical foundation with intensive hands-on exercises, enabling you to gain the skills necessary to implement ML solutions in a banking environment. Classes are conducted in a workshop format, where theory is immediately verified in practice.
Issues
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Machine learning models
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Bank data analysis
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Credit scoring
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Fraud detection
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Customer segmentation
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Risk forecasting
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Optimization of models
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Production deployment
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Monitoring and validation
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Reporting of results
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Integration of systems
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ML best practices
Benefits
- Upon completion of the training, the participant will be able to independently design and implement machine learning solutions for the banking sector in R
- Scoring models and fraud detection systems
- He will develop skills related to processing and analyzing banking data
- Will learn to optimize and monitor ML models in a production environment
- Will be able to develop advanced predictive systems for financial applications
- Will gain the ability to integrate ML solutions with existing banking systems
Who is this training for?
Prerequisites
- Knowledge of the basics of programming in R
- Experience in data analysis
- Basic knowledge of the banking sector
- Understanding the basics of statistics
Training program
Overview of ML applications in the banking sector
- Preparation of the R environment
- Bank data processing
- Validation and evaluation of models
- Classification models
Credit scoring
- Fraud detection
- Customer segmentation
- Optimization of models
Predictive models
- Forecasting customer behavior
Risk analysis
- Predicting defaults
- Time series modeling
- Implementation and monitoring
- Implementation of production models
- Performance monitoring
Update models
- Reporting of results
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
Who is the Machine Learning in banking using R training for?
This training is designed for professionals looking to develop skills in machine learning in banking using r. Required level: advanced.
How long is the Machine Learning in banking using R training?
The training lasts 4. Available in online or on-site format.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
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.