Technologies / Data & Analytics

Cluster analysis in R and SAS

The training focuses on advanced cluster analysis techniques using R and SAS environments. The program covers the theory and practical application of various clustering methods and their implementation in both environments. Participants, through hands-on workshops, learn to select and apply appropriate segmentation techniques depending on the characteristics of the data and the purpose of the analysis. Classes are conducted in the form of intensive workshops using real data sets.

Issues

Clustering methods
Measures of distance
Cluster validation
Visualize the results
Data segmentation
Profile analysis
Interpretation of results
Comparison of environments
Algorithm optimization
Processing of large collections
Reporting of results
Best implementation practices

Benefits

The participant will develop advanced skills in applying a variety of cluster analysis techniques in R and SAS environments
He or she will acquire the knowledge to select optimal clustering methods for the specifics of the analyzed data
Will acquire competence in the implementation and optimization of segmentation algorithms
Will learn methods for effective validation and interpretation of cluster analysis results
Will be able to present and communicate segmentation results to different audiences
Will develop the ability to combine the capabilities of both analytical environments

Who is this training for?

Data analysts working in R and SAS

Data Scientists

Customer segmentation specialists

Market researchers

Marketing analysts

Experts in behavioral analysis

Machine learning specialists

Prerequisites

Knowledge of the basics of R and SAS
Experience in data analysis
Fundamentals of multivariate statistics
Analytical programming skills

Training program

Non-hierarchical methods
Measures of distance

Advanced clustering techniques

Density methods

Validation of results
Implementation in R and SAS
Comparison of environments

Visualize the results
Interpretation of the results
Practical applications
Customer segmentation
Behavioral analysis

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 Cluster analysis in R and SAS we recommend: Knowledge of the basics of R and SAS; Experience in data analysis; Fundamentals of multivariate statistics.

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: Data analysts working in R and SAS; Data Scientists; Customer segmentation specialists.

What practical skills will I gain from this training?

You will develop advanced skills in applying various cluster analysis techniques in R and SAS, learn to select optimal clustering methods for different data types, and gain competence in validating, interpreting, and communicating segmentation results to different audiences.

What is the difference between online and on-site formats?

Both formats cover the same content and are led by the same expert instructors. Online training offers flexibility and convenience, while on-site training provides direct interaction and hands-on lab access. Choose the format that best suits your team's needs.

Do I receive a certificate after completing this training?

Yes, upon successful completion you receive an EITT certificate confirming your skills in cluster analysis using R and SAS. The certificate is recognized by employers in the IT industry.