Training Introduction to R with time series analysis
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: Data and analytics
- TRAINING CODE: IT-ST-14
- DURATION: 3 days
- PRICE INFORMATION from: 3750 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
The training combines an introduction to programming in R with practical applications in time series analysis. The program covers both the basics of the R language and advanced techniques for analyzing temporal data. Participants learn to process, analyze and forecast temporal data through hands-on workshops. Classes are conducted using real business and financial data sets.
Participant profile
- Financial analysts
- Forecasting specialists
- Business analysts
- Econometricians
- Planning specialists
- Market analysts
- Employees of control departments
Agenda
- Fundamentals of programming in R
- Data structures and operations
- Importing and exporting data
- Data transformation
- Basic visualization
- Time series analysis
- Time series structure
- Decomposition of series
- Smoothing and filtration
- Identification of patterns
- Series modeling
- ARIMA models
- Seasonal models
- Regression models over time
- Model diagnostics
- Forecasting
- Forecasting methods
- Assessing the quality of forecasts
- Confidence intervals
- Visualization of forecasts
Benefits
The participant will develop practical skills in time series analysis and forecasting in R. He or she will gain the competence to independently conduct analytical projects using temporal data. Will acquire the knowledge to create and evaluate forecasting models. Will learn methods for effective visualization of temporal data and forecasts. Will be able to identify and interpret patterns in time series. Will develop the ability to communicate the results of temporal analysis to various audiences.
Required preparation of participants
- Basic knowledge of statistics
- Experience in data analysis
- Understand the concept of time series
- Logical analytical thinking
Issues
- Programming in R
- Time series
- Decomposition of series
- ARIMA models
- Forecasting
- Seasonality analysis
- Visualization of time data
- Validation of forecasts
- Trend modeling
- Data filtering
- Identification of patterns
- Confidence intervals
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























