Udemy – R Programming for Data Analysis: Ultimate Guide 2024-8

Apr 18, 2025 - 19:43

0 0

R Programming for Data Analysis: Ultimate Guide. This course is a comprehensive guide that teaches you how to analyze data and solve real-world business problems using the R language. This course introduces you to key concepts such as data loading, data manipulation, data aggregation, and effective use of R libraries, providing essential fundamentals. The course content is designed to provide a step-by-step approach, combining theoretical lessons and practical exercises, to provide a deep understanding of data analysis for solving real-world problems. The course consists of seven training modules, starting with an introductory introduction to R and continuing to more advanced topics such as data manipulation, joining operations, data aggregation, temporal intelligence, and data visualization. Each module is designed independently, but it is recommended to follow the order of the modules to fully understand the concepts and complete the final project. This course is designed based on real-world experiences in solving data problems and, in addition to teaching theoretical concepts, provides you with valuable practical skills. Using real-world examples and practical challenges, this course prepares you to face complex data analysis issues in the workplace.

What you will learn:

Install R and R Studio to set up an integrated coding environment.
Master data type conversion and formatting techniques for consistent data representation.
Use dplyr functions for efficient data manipulation tasks.
Implement different types of join operations to effectively merge datasets.
Data aggregation and feature engineering for insightful analytics.
Effectively manage date and time data using the lubridate package.
Create customizable visualizations with ggplot2 to effectively communicate data.
Complete the capstone project: OpenAirBnB Data using the concepts and skills learned from this course to create effective visualizations and communicate your findings.

Who is this course suitable for?

This course is designed for people with no prior experience with tools (e.g., R or Python).
For recent graduates considering a career in data analysis, this course covers real-world data analysis use cases and frequently asked interview questions to prepare you.
For career changers who want to become a data analyst or upgrade themselves to perform more complex analyses beyond Excel spreadsheets.

Course details for R Programming for Data Analysis: Ultimate Guide

Publisher: Udemy
Instructor: Taesun Yoo
Training level: Beginner to advanced
Training duration: 11 hours and 16 minutes
Number of lessons: 109

Course headings

Prerequisites for the R Programming for Data Analysis: Ultimate Guide course

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

Udemy – R Programming for Data Analysis: Ultimate Guide 2024-8