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Technologies / Data & Analytics

Advanced programming in R

The training focuses on advanced programming techniques in R, presenting best practices for creating efficient and scalable code. The program covers advanced aspects of functional programming, metaprogramming and package development. Participants, through hands-on workshops, learn to write efficient code, use advanced data structures, and create their own R language extensions.

Issues

  • Functional programming

  • Metaprogramming

  • Data structures

  • Package creation

  • Code optimization

  • Parallel calculations

  • Performance profiling

  • Integration with C++

  • Code documentation

  • Unit tests

  • Debugging

  • Memory management

Benefits

  • The participant will master advanced functional programming techniques in R
  • Will develop the ability to create efficient and scalable analytical solutions
  • Will learn to design and implement custom R packages according to best practices
  • Will learn code optimization and memory management methods
  • Will be able to use advanced data structures and metaprogramming
  • Will gain the ability to create R extensions using other programming languages

Who is this training for?

Experienced R programmers
Developers of analytical packages and tools
Developers of data science solutions
Code optimization specialists
Analysts working with large data sets
Analytics solution architects
Researchers using R
Software engineers

Prerequisites

  • Advanced knowledge of the R language
  • Experience in feature development
  • Knowledge of the basics of algorithmics
  • Practice in data analysis

Training program

01

Higher order functions

  • Lambda expressions
  • Closures and environments
  • Functionally oriented programming
  • Advanced structures
02

Classes S3 and S4

  • Metaprogramming
  • Non-standard evaluation
  • Advanced data structures
03

Package creation

  • Package structure
  • Documentation and testing
  • Integration with C++
  • Publication of packages
  • Optimization and efficiency
04

Code profiling

  • Parallel calculations
  • Memory optimization
  • Advanced debugging

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 in R we recommend: Advanced knowledge of the R language; Experience in feature development; Knowledge of the basics of algorithmics.

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: Experienced R programmers; Developers of analytical packages and tools; Developers of data science solutions.

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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