Advance R Programming
Published 12/2025
Duration: 3h 42m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 3.5 GB
Genre: eLearning | Language: English
Advanced Data Analysis, Modeling, and Visualization with R
What you'll learn
- Master advanced R programming concepts, including functional programming, object-oriented programming (S3/S4), and efficient code structuring for scalable analy
- Perform advanced data manipulation and transformation using R packages such as dplyr, tidyr, and data.table to handle large and complex datasets.
- Develop advanced statistical models and data analysis workflows, applying regression, time series, and multivariate techniques using R.
- Create high-quality data visualizations and automated reports using ggplot2, Shiny, and R Markdown to communicate insights effectively and support data-driven d
Requirements
- Basic to Intermediate Knowledge of R
- Foundational Statistics Knowledge
- Experience with Data Handling in R
- General Programming Concepts
- R Environment Setup
Description
TheAdvance R Programmingcourse is designed for professionals and enthusiasts who already have a foundational understanding of R and want to elevate their programming and data analysis skills to an advanced level. This course provides a comprehensive exploration of R's powerful capabilities, focusing on writing efficient, maintainable, and scalable code for complex data-driven tasks. Participants will gain hands-on experience in advanced programming techniques, including functional programming, object-oriented programming (S3 and S4 systems), and modular code design, which are essential for developing robust analytics workflows.
Throughout the course, learners will master advanced data manipulation and transformation using popular R packages such asdplyr,tidyr, anddata.table, enabling them to handle large and complex datasets with ease. The course also emphasizes advanced statistical modeling, covering regression analysis, time series forecasting, multivariate techniques, and other essential methods for extracting actionable insights from data.
Visualization and reporting are integral components of the course. Learners will develop the ability to create high-quality, interactive visualizations usingggplot2, and design interactive applications and dashboards withShiny. They will also learn to generate automated, reproducible reports usingR Markdown, allowing them to communicate results effectively to stakeholders.
By the end of the course, participants will be proficient in advanced R programming techniques, capable of building end-to-end analytical solutions, and equipped to apply R to real-world data science, research, and business analytics projects with confidence.
Who this course is for:
- This course is ideal for Data Analysts and Data Scientists who use R for data analysis and wish to write more efficient, scalable, and maintainable code while working with complex datasets.
- well suited for Statisticians, Researchers, and Academics who rely on R for advanced data analysis, statistical modeling, and research-based computations.
- Business Intelligence and Analytics professionals who want to enhance their ability to perform advanced data manipulation, modeling, and visualization in R will also benefit from this course.
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