R Programming

Course Overview:This R Programming course is designed for beginners and intermediate learners who want to explore the powerful capabilities of R for data analysis, statistics, and visualization. R is widely used in data science, academia, and industry due to its open-source nature and extensive libraries for data manipulation and statistical modeling.

Why This Course?With the growing demand for data-driven decision-making, R has become a key tool in data science, research, and analytics. This course equips you with hands-on skills to perform data analysis, build statistical models, and generate insightful visualizations, making it ideal for aspiring data analysts, statisticians, researchers, and programmers.

What You Will Learn:

• Basics of R syntax and data types
• Data import, cleaning, and manipulation using dplyr and tidyr
• Data visualization with ggplot2
• Statistical analysis and hypothesis testing
• Writing functions and control structures
• Introduction to machine learning with R
• Creating reproducible reports with R Markdown

Benefits:

• Gain practical experience with real-world datasets
• Learn an industry-relevant programming language for data analysis
• Develop transferable skills for academic research and business analytics
• Enhance your resume with a sought-after technical skill

Career Opportunities:

• Data Analyst
• Statistician
• Research Analyst
• Data Scientist
• Business Intelligence Professional
• Academic Researcher

Additional Topics (Optional/Advanced):

• Time series analysis
• Web scraping with R
• Shiny app development for interactive dashboards
• Integrating R with databases and APIs

This course serves as a strong foundation for anyone looking to enter the data analytics or data science field, or enhance their research capabilities using R.