Course Description: Data Analytics Using R - Beginner

The Data Analytics Using R - Beginner course is designed to introduce learners to the fundamentals of data analytics using the R programming language. Whether you are a complete beginner or someone looking to enhance your data analysis skills, this course provides a solid foundation in data manipulation, visualization, and statistical analysis using R.

This course includes

• 4+ hours on-demand video
• Unlimited Access, Anytime, on mobile and TV
• Certificate of completion 
  

What You'll Learn in the Data Analytics Using R - Beginner Course

This course will help you build a strong foundation in data analytics using R. Here’s what you’ll learn:

• Introduction to R – Understanding R programming basics and setting up RStudio
• Data Types & Structures – Working with vectors, lists, matrices, data frames, and factors
• Data Import & Export – Reading and writing data from CSV, Excel, and databases
• Data Manipulation – Using dplyr and tidyr for cleaning and transforming data
• Data Visualization – Creating graphs and charts using ggplot2 and base R functions
• Statistical Analysis – Applying basic statistical methods like mean, median, variance, and hypothesis testing
• Exploratory Data Analysis (EDA) – Summarizing and interpreting data insights
  
  

Course Requirements for Data Analytics Using R - Beginner

This course is designed for beginners, so there are no strict prerequisites, but having the following will be helpful:

• Basic Computer Skills – Ability to install software and navigate files
• Basic Mathematics & Statistics Knowledge – Understanding of concepts like mean, median, and standard deviation (helpful but not mandatory)
• No Prior Coding Experience Required – R programming will be taught from scratch
• R and RStudio Installed – Guidance will be provided on installation