Hands-on learning with R: Analyze, visualize, and interpret real world data like a pro.
Sub Category
- Programming Languages
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Objectives
- What is R?
- History and applications of R
- Installing and Configuring R and RStudio
- Basic R Syntax and Data Types
- Vectors, Matrices, and Arrays
- Data Frames and Lists
- Conditional Statements (if-else)
- Loops (for, while)
- Creating and Using Functions in R
- Function Arguments and Scoping
- Data Manipulation with dplyr (filter, select, mutate, arrange)
- Data Tidying with Tidyr (pivot_longer, pivot_wider)
- Joining and Merging Data Frames
- Creating Various Types of Plots (scatter plots, bar plots, line plots, histograms)
- Customizing Plot Aesthetics (colors, labels, themes)
- Creating Interactive Plots
- Descriptive Statistics (mean, median, standard deviation, quartiles)
- Hypothesis Testing (t-tests, chi-squared tests)
- Regression Analysis (linear regression, multiple regression)
Pre Requisites
- No R programming experience needed
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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