R and Python in Data Science focuses on using two powerful programming languages for data analysis, visualization, and machine learning. Both languages support end-to-end data science workflows from data collection to model building. This training explains how R supports statistical analysis and visualization. It also explains how Python supports machine learning, automation, and data processing. Key libraries include pandas, NumPy, scikit-learn, ggplot2, and tidyverse. You will learn how organizations combine R and Python to build scalable data-driven solutions. The course highlights best practices for efficient analysis and model development.
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