R Programming for Data Analysis: Ultimate Guide

Complete R Programming for Data Analysis, Data Cleaning, Data Visualization and Solve Business Problems

Created by: Taesun Yoo
Senior Data Analyst | Online Course Instructor

What Will I Learn?

• Installing R and R Studio for seamless coding environment setup.
• Mastering data type conversion and formatting techniques for consistent data representation.
• Utilizing dplyr functions for efficient data manipulation tasks.
• Implementing various types of join operations to merge datasets effectively.
• Aggregating data and engineering new features for insightful analysis.
• Handling date and time data effectively using lubridate package.
• Creating customizable visualizations with ggplot2 for effective data communication
• Complete a capstone project: OpenAirBnB data using concepts and skills learned from this course to create effective visualizations and communicate your findings

Requirements

• Operating Systems: 64-bit versions of Microsoft Windows 7, 8.1 and 10 or Mac
• Installation of R and R Studio
• No prior experience in R but highly desirable to know some basic analytics with Excel

Target audience

• This course is designed for individuals with no prior experience in tools (e.g., R or Python).
• For new graduates who are considering a data analytics career. This course covers real-world practical data analytics use cases and frequently asked interview questions to prepare yourself
• For career switchers who wants to be a data analyst or upgrade yourself to perform complex analyses beyond Excel spreadsheets.