Course / Course Details
By - Ms Sowmya T
This course provides a foundational introduction to data analysis using the R programming language. It is designed to equip students with essential skills for importing, cleaning, analyzing, and visualizing data in a statistical computing environment. The course integrates basic statistical concepts with hands-on R programming to enable learners to perform exploratory data analysis and interpret results effectively.
Students will learn to work with real-world datasets, apply descriptive and inferential statistical techniques, and generate meaningful insights through graphical and numerical summaries. Emphasis is placed on practical applications of data analysis in business, social sciences, and research contexts. By the end of the course, students will be able to conduct basic data analysis independently and communicate findings using R-generated outputs.
CO1: Understand the fundamentals of R programming and the R environment for data analysis tasks.
CO2: Import, manage, and preprocess datasets using appropriate R functions and packages.
CO3: Apply descriptive statistical techniques to summarize and explore datasets effectively.
CO4: Perform basic inferential statistical analysis and interpret results using R outputs.
CO6: Analyze real-world datasets and present data-driven conclusions using R programming tools.
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