Advance R Programming

Advance R Programming
Published 12/2025
Duration: 3h 42m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 3.5 GB

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.
– 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
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.

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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