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Paras-96
Paras-96

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Why R Is Still Relevant for Data Science in 2025

Introduction

Despite Python’s dominance, R remains a top choice for data science—especially in academia, finance, and bioinformatics.

🚀 Want to learn R for Data Science? Check this guide: R for Data Science

Why R Is Still Relevant in 2025

1️⃣ Superior Statistical Computing – Used in econometrics, clinical trials, and research.
2️⃣ Advanced Data Visualization – ggplot2 and Shiny create stunning dashboards.
3️⃣ Machine Learning & AI Integration – R supports TensorFlow, Keras, and XGBoost for deep learning.
4️⃣ Big Data & Cloud Compatibility – Works with SparkR, AWS, and Google Cloud AI.

🔍 Want to build projects using R? Check this guide: R for Data Science

Final Thoughts

Python may dominate AI, but R is still essential in statistical computing, research, and niche industries. If you're in data science, learning both R and Python gives you a competitive edge.

🚀 Start your R journey today: R for Data Science

Top comments (1)

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bogisichsophie profile image
bogisichsophie

On point there, R is my best for manipulation and visualization. In all you do, just learn Python and R. For excample, Geometry Dash Lite allows players to customize their icons and unlock new levels as they progress through the game.