Technologies / Data & Analytics

Advanced data processing techniques in R

An intensive training focusing on modern data processing methods in R language using dplyr and purrr packages. Participants will learn how to effectively analyze, transform and prepare data for further modeling. The training combines theory and practice, enabling participants to gain the skills to create clear, flexible and efficient code to work with data.

Issues

Advanced functionality of dplyr and purrr packages
Techniques for mass processing of variables
Implementation of window functions in data analysis
Strategies for merging and transforming datasets
Advanced aspects of working with databases in R
Optimizing code for data processing
Data cleaning and restructuring with tidyr and reshape
Best practices in preparing data for modeling

Benefits

Ability to process data effectively using modern R packages
Ability to create clear and easy to maintain analytical code
Knowledge of advanced data manipulation techniques in R
Ability to optimize the processing of large data sets
Practical experience in solving complex analytical problems
Knowledge of best practices in feature engineering and data preparation for modeling

Who is this training for?

Data analysts looking to expand their skills in R

Data researchers looking for efficient information processing methods

Statisticians interested in modern analysis techniques in R

R programmers who want to learn advanced data manipulation methods

Those involved in feature engineering and feature selection

Prerequisites

Basic knowledge of the R language
Ability to create simple functions in R
Knowledge of basic data structures (vector, list, data frame)
Experience performing basic data operations in R

Training program

Working effectively with data using tibble
Massive variable processing and window functions

Advanced techniques using the purrr package
Implementation of split-apply-combine strategy

Data cleaning and restructuring (tidyr, reshape)

Database integration and query optimization
Practical workshop: solving complex data processing problems

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 data processing techniques in R we recommend: Basic knowledge of the R language; Ability to create simple functions in R; Knowledge of basic data structures (vector, list, data frame).

What is the format and duration of this training?

The training lasts 3 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 looking to expand their skills in R; Data researchers looking for efficient information processing methods; Statisticians interested in modern analysis techniques in R.