Technologies / Data & Analytics

R - statistical programming course

The training provides a thorough introduction to programming in R with an emphasis on statistical applications. The program covers both the basics of the language and advanced data analysis techniques. Participants learn through hands-on workshops how to effectively use R in statistical analysis and data visualization. Classes are conducted in an interactive format using real data sets.

Issues

R development environment
Data structures in R
Functional programming
Data manipulation
Statistical analysis
Data visualization
Tidyverse packages
Code optimization
Reporting of results
Hypothesis testing
Statistical modeling
Best programming practices

Benefits

The participant will acquire practical programming skills in the R language, allowing them to create analytical scripts independently
Will develop competence in effective data processing and analysis using modern R packages
Will acquire the ability to create advanced data visualizations tailored to the needs of the audience
Will learn methods to optimize R code for computational efficiency
Will be able to use advanced statistical techniques in practical applications
Will acquire the knowledge to solve analytical problems independently

Who is this training for?

Data analysts getting started with R

Statisticians looking to expand tool shop

Researchers conducting quantitative research

Research and development specialists

Business analysts

Employees of analytical departments

Statistical modelers

Prerequisites

Basic knowledge of statistics
Basic knowledge of programming
Understanding the concept of data analysis
Experience in working with tabular data

Training program

Operations on vectors and matrices

Program flow control
Data processing and analysis
Importing and exporting data
Data transformation and cleaning

Working with missing data
Statistical analysis
Descriptive statistics
Hypothesis testing
Correlation and regression analysis

Data visualization

Creating basic charts
Advanced visualization techniques
Interactive charts

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 R - statistical programming course we recommend: Basic knowledge of statistics; Basic knowledge of programming; Understanding the concept of data analysis.

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 getting started with R; Statisticians looking to expand tool shop; Researchers conducting quantitative research.