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Technologies / Data & Analytics

Data Mining using R

The training provides an in-depth understanding of data mining techniques using the R language. The program combines theory with intensive hands-on workshops where participants learn to apply advanced analysis methods to uncover hidden patterns in data. Special emphasis is placed on the practical application of data mining algorithms and the interpretation of the results obtained in a business context.

Issues

  • Data preprocessing

  • Exploratory data analysis

  • Cluster analysis

  • Association rules

  • Anomaly detection

  • Dimensionality reduction

  • Predictive modeling

  • Evaluation of models

  • Visualize the results

  • Interpretation of the results

  • Implementation of solutions

  • Best practices

Benefits

  • The participant will gain practical skills in applying advanced data mining techniques in R language
  • Will develop the ability to identify appropriate analysis methods for different types of business problems
  • Will learn to prepare data for analysis and assess its quality
  • Will learn methods for detecting patterns and relationships in complex data sets
  • Will be able to build and evaluate predictive models
  • Will master techniques for interpreting and presenting the results of data mining analyses

Who is this training for?

Data analysts working with large collections
Data science specialists
Researchers involved in data exploration
Business analysts
Machine learning specialists
Employees of analytical departments
Business intelligence consultants
Data engineers

Prerequisites

  • Basic knowledge of the R language
  • Knowledge of descriptive statistics
  • Experience in data analysis
  • Fundamentals of linear algebra

Training program

01

Preprocessing and data cleaning

  • Transformation and standardization
02

Feature selection

  • Handling missing values
  • Exploratory techniques
03

Cluster analysis

  • Association rules
04

Anomaly detection

  • Dimensionality reduction
  • Predictive modeling
05

Decision trees

  • Random forests
06

Neural networks

  • Support vector machines
  • Validation and implementation
  • Evaluation of models
  • Interpretation of results
  • Visualize the results
  • Implementing solutions

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 Data Mining using R we recommend: Basic knowledge of the R language; Knowledge of descriptive statistics; Experience in data analysis.

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 with large collections; Data science specialists; Researchers involved in data exploration.

Monika Fengler
Monika Fengler Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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Trusted by

We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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