Technologies / Data & Analytics

Predictive modeling in R

The training focuses on the practical aspects of building predictive models in R. The program covers the entire modeling process, from data preparation, model selection and training, to model validation and interpretation. Participants learn to implement a variety of predictive modeling techniques through practical workshops. The classes are based on real business cases using current tools and methodologies.

Issues

Feature engineering
Variable selection
Regression models
Classification models
Validation of models
Model diagnostics
Regularization
Team methods
Production implementation
Monitoring of models
Interpretation of results
Update models

Benefits

The participant will gain practical skills in building advanced predictive models in the R environment
He or she will develop the competence to independently conduct modeling projects from concept to implementation
Will acquire the knowledge to effectively select and prepare variables for modeling
Will learn methods for effective validation and quality assessment of predictive models
Will be able to interpret and present modeling results to various audiences
Will gain the ability to monitor and update models in a production environment

Who is this training for?

Predictive analysts

Statistical modeling specialists

Data Scientists

Business analysts advanced in R

Forecasting specialists

Market researchers working with models

Data analysis experts

Prerequisites

Knowledge of the basics of programming in R
Experience in data analysis
Basic statistical knowledge
Knowledge of the basics of modeling

Training program

Variable selection
Handling missing data
Transformations of variables

Linear regression and its variants
Generalized regression
Regularized regression

Classification models
Logistic regression
Discriminant analysis

Assessing the quality of the classification
Implementation and monitoring
Production implementation
Performance monitoring

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

What are the prerequisites for this training?

For Predictive modeling in R we recommend: Knowledge of the basics of programming in R; Experience in data analysis; Basic statistical knowledge.

What is the format and duration of this training?

The training lasts 2 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: Predictive analysts; Statistical modeling specialists; Data Scientists.