Data Analytics Using R

Understanding the core concept of data types and structures in R language

Critical thinking and analysis on control statements, functions in R

Learn the statistics and probability density functions

Analyze the model using various techniques

Gain insight about data visualization

This course provides a comprehensive introduction to data analytics using the R programming language, equipping students with the skills to analyze, visualize, and interpret data for real-world decision-making. Designed for beginners and those with prior programming experience, the course covers the fundamentals of R, essential data structures, and the process of data analysis from data cleaning to advanced statistical modeling.

Students will learn to use R and RStudio for data manipulation, exploratory data analysis, and the creation of insightful visualizations. The course also introduces key statistical concepts, regression techniques, and basic machine learning methods, enabling learners to extract meaningful patterns and relationships from complex datasets. Practical assignments and projects reinforce the application of these concepts to real-world scenarios.

By the end of the course, participants will be able to:

Understand the basics of R programming and its application in data analytics

Import, clean, and manipulate data using R

Conduct exploratory data analysis and visualize data using R’s plotting libraries

Apply statistical methods and build regression models to analyze data

Interpret and communicate analytical results effectively

This course is suitable for students, professionals, and researchers interested in leveraging R for data-driven insights in various domains, including business, science, and social research