Technologies / Data & Analytics

Programming in R for data analysis

The training focuses on the programmatic aspects of data analysis in R, combining advanced programming techniques with practical analytical applications. The program covers the creation of efficient solutions for processing and analyzing large data sets. Participants learn through hands-on workshops how to write effective analytical code and create custom functions and packages. Classes are conducted in the form of intensive programming workshops with an emphasis on practical applications.

Issues

Functional programming
Performance optimization
Memory management
Creating R packages
Code testing
Programming documentation
Debugging
Code profiling
Version control
Working with big data
Parallel processing
Integration with databases

Benefits

The participant will develop advanced programming skills to create efficient analytical solutions in R
He or she will gain the knowledge to optimize code for processing large data sets
Will acquire the ability to create custom R packages in accordance with best programming practices
Will learn methods for effective debugging and testing of analytical code
Will be able to design and implement advanced data analysis solutions
Will develop competence in documenting and maintaining analytical code

Who is this training for?

Data analysts with basic knowledge of R

Programmers who want to specialize in data analytics

Data Scientists

Data modeling specialists

Business Intelligence Analysts

Analytics application developers

Statisticians developing analytical tools

Prerequisites

Basic knowledge of programming in R
Experience in data analysis
Knowledge of basic statistics
Practice in working with tabular data

Training program

Create effective functions
Code optimization
Memory management

Advanced data operations
Working with large data sets
Parallel processing
Integration with databases
Creating R packages
Package structure
Code documentation

Publication of packages
Development tools

Debugging the code
Performance profiling
Development environments

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 Programming in R for data analysis we recommend: Basic knowledge of programming in R; Experience in data analysis; Knowledge of basic 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 with basic knowledge of R; Programmers who want to specialize in data analytics; Data Scientists.