Training Statistical and econometric modeling – advanced techniques
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: Data and analytics
- TRAINING CODE: IT-DA-238
- DURATION: 3 days
- PRICE INFORMATION from: 3750 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
The training introduces participants to the world of advanced statistical and econometric modeling techniques, with a focus on their practical application in business data analysis. The program is implemented through a combination of theoretical lectures and intensive workshops using real data sets. Participants learn advanced methods of analysis and learn how to interpret and present results in a business context.
Participant profile
- Data analysts and researchers
- Economists and financial analysts
- Forecasting specialists
- Data Scientists
- Employees of analytical departments
- Business consultants
- Researchers
- Market research specialists
Agenda
- Advanced regression models
- Non-linear models
- Generalized regression
- Panel models
- Time series analysis
- Estimation and verification methods
- Estimators and their properties
- Diagnostic tests
- Analysis of residues
- Information criteria
- Multidimensional modeling
- Factor analysis
- Cluster analysis
- Multidimensional scaling
- Discriminant analysis
- Practical applications
- Forecasting
- Risk analysis
- Process modeling
- Decision optimization
Benefits
The participant will gain the ability to build and verify advanced statistical and econometric models. He or she will learn to select appropriate methods of analysis for specific business problems. Will develop the ability to interpret modeling results in the context of practical applications. He will learn forecasting and modeling techniques for economic phenomena. Will be able to assess the quality and reliability of statistical models. Will master methods of presenting analysis results to business stakeholders.
Required preparation of participants
- Knowledge of the basics of mathematical statistics
- Experience in data analysis
- Fundamentals of linear algebra
- Knowledge of econometric methods
Issues
- Multiple regression models
- Time series analysis
- Panel models
- Estimation methods
- Statistical tests
- Analysis of residues
- Forecasting
- Non-linear modeling
- Multivariate analysis
- Model diagnostics
- Interpretation of results
- Data visualization
Do you have any questions?
Feel free to contact us.
Patrycja Petkowska
+48 735 257 272
patrycja.petkowska@eitt.academy
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.
Patrycja Petkowska
+48 735 257 272
patrycja.petkowska@eitt.academy
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























