Data Analytics Using R, usage of data types – statistical and probabilistic analysis- data visualization Using R language.
Course Description
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
