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Technologies / Data & Analytics

Advanced programming techniques in R

The training focuses on advanced aspects of programming in R, with a special emphasis on code optimization and creating efficient solutions. The program covers metaprogramming, package development and integration with other technologies. Participants learn to implement advanced programming solutions through hands-on workshops. Classes are conducted in the form of intensive workshops with an emphasis on practical applications in a production environment.

Issues

  • Metaprogramming in R

  • Package creation

  • Unit testing

  • Code optimization

  • Object-oriented programming

  • Integration with C++

  • Memory management

  • Technical Documentation

  • Continuous Integration

  • Microservices

  • Containerization

  • APIs

Benefits

  • The participant will develop advanced programming skills to create professional solutions in R
  • Will gain the knowledge to effectively use meta-programming techniques in analytical projects
  • He/she will acquire competence in developing and maintaining high-quality R packages
  • He/she will learn methods for code optimization and performance management of analytical applications
  • Will be able to design and implement scalable analytical solutions
  • Will develop the ability to integrate R solutions into production infrastructure

Who is this training for?

Advanced R programmers
Developers of analytics packages and tools
Data Engineers
Analytics solution architects
Code optimization specialists
Analytical application developers
Data Science solution developers

Prerequisites

  • Advanced knowledge of programming in R
  • Experience in application development
  • Knowledge of good programming practices
  • Basic knowledge of C++ language

Training program

01

Advanced operations on functions

  • Object-oriented programming
  • Non-standard evaluation
  • Macros and code generation
  • Package creation
  • Package architecture
02

Unit testing

  • Technical Documentation
  • Continuous Integration
  • Performance optimization
03

Code profiling

  • Parallel calculations
  • Integration with C++
  • Memory management
  • System integration
04

APIs

  • Databases
05

Microservices

  • Containerization

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 Advanced programming techniques in R we recommend: Advanced knowledge of programming in R; Experience in application development; Knowledge of good programming practices.

What is the format and duration of this training?

The training lasts 1 day 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: Advanced R programmers; Developers of analytics packages and tools; Data Engineers.

Klaudia Janecka
Klaudia Janecka 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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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

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