Code with R Programming

Aim & Summary

The aim of the "Code with R Programming: Introduction to Data Analysis & Visualization" course for students is to provide a comprehensive introduction to data analysis and visualization using the R programming language. This course aims to equip students with the fundamental skills and knowledge required to manipulate, analyze, and visualize data effectively, leveraging the powerful capabilities of R. Students will learn how to import, clean, and transform data from various sources, preparing it for analysis. Students will also be introduced to the tidyverse, a collection of R packages designed for data science, which includes tools for data manipulation, visualization, and modeling. Students will delve into exploratory data analysis (EDA) techniques, learning how to summarize and visualize data to uncover patterns, trends, and relationships. In addition to EDA, students will learn about statistical modeling techniques in R, including linear regression, logistic regression, and clustering. By the end of the course, students will have gained proficiency in data preprocessing, exploratory data analysis, statistical modeling, and data visualization techniques using R, preparing them for further studies or careers in data science, analytics, or related fields.

Course Certification

Certificate will have your name, photograph and the score in the final exam with the breakup. It will have the logos of GMU and company handling the course.