Technologies / Data & Analytics

Forecasting with R

Training on forecasting techniques using R. Learn time series analysis, ARIMA models, exponential smoothing, and machine learning approaches for predictions.

Issues

Time series analysis
Exponential smoothing
ARIMA
Prophet
Neural networks
Model evaluation
Cross-validation
Visualization
Automation
Best practices

Benefits

Forecasting proficiency
Time series skills
Model selection ability
Practical experience

Who is this training for?

Data analysts

Business analysts

Data scientists

Forecasters

Researchers

Prerequisites

R basics
Statistics knowledge
Data analysis experience

Training program

Decomposition
Visualization
Data preparation
Classical methods
Exponential smoothing

Seasonal models
Model selection

Neural networks
Ensemble methods
Feature engineering

Accuracy metrics
Cross-validation
Model comparison
Reporting

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 Forecasting with R we recommend: R basics; Statistics knowledge; Data analysis experience.

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: Data analysts; Business analysts; Data scientists.