Introduction to R with time series analysis
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.
Issues
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Programming in R
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Time series
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Decomposition of series
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ARIMA models
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Forecasting
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Seasonality analysis
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Visualization of time data
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Validation of forecasts
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Trend modeling
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Data filtering
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Identification of patterns
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Confidence intervals
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
Who is this training for?
Prerequisites
- Basic knowledge of statistics
- Experience in data analysis
- Understand the concept of time series
- Logical analytical thinking
Training program
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
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 Introduction to R with time series analysis we recommend: Basic knowledge of statistics; Experience in data analysis; Understand the concept of time series.
What is the format and duration of this training?
The training lasts 3 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: Financial analysts; Forecasting specialists; Business analysts.
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Funding Options
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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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