What is R Programming?
R is a powerful programming language and free software environment specifically designed for statistical computing, data analysis, and graphics. It's widely used by statisticians, data scientists, and researchers across various industries.
Why Learn R Programming?
- Data Analysis: Comprehensive tools for statistical analysis and data manipulation
- Data Visualization: Advanced plotting capabilities with ggplot2 and other packages
- Machine Learning: Extensive libraries for predictive modeling and AI
- Business Analytics: Tools for business intelligence and decision making
- Open Source: Free to use with a large community support
- Industry Standard: Widely used in academia and industry
What is Business Analytics?
Business Analytics is the practice of iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis. It's used by companies committed to data-driven decision making.
- Descriptive Analytics: What happened in the past?
- Predictive Analytics: What might happen in the future?
- Prescriptive Analytics: What should we do about it?
Course Learning Path:
In this comprehensive R Programming course, you'll learn:
- Installation Setup: Installing R and RStudio on Windows
- R Fundamentals: Understanding why R is important for business analytics
- RStudio Interface: Mastering the development environment
- Basic Operations: Arithmetic operators, vectors, and calculations
- Data Handling: Working with missing data (NA values)
What You'll Master:
- R Software installation and setup
- RStudio interface navigation and customization
- Basic R programming concepts and syntax
- Vector operations and arithmetic calculations
- Missing data handling techniques
- Statistical analysis fundamentals
Prerequisites: No prior programming experience required. This course is designed for complete beginners who want to learn data science and business analytics using R.