R language: for analytics

Module Highlights:

1. Introduction to R: Get started with R programming, covering installation, basic syntax, and data structures.
2. Data Manipulation: Learn how to clean, transform, and manage data using R packages like dplyr and tidyr.
3. Exploratory Data Analysis: Use R to perform descriptive statistics and visualize data with ggplot2, uncovering insights and patterns.
4. Statistical Analysis: Apply statistical techniques and hypothesis testing to analyze data and draw meaningful conclusions.
5. Data Visualization: Create compelling and informative charts, graphs, and interactive visualizations to communicate your findings effectively.
6. Advanced Topics: Explore advanced techniques, including time series analysis and machine learning, to enhance your analytical capabilities.