R Programming 101 Courses

Ggplot2 Data Visualization with Geometries in R

1 rating

Master the art of data visualization in R with ggplot2's geometries (geoms) to create compelling scatter plots, line graphs, bar charts, histograms, density plots, and box plots for effective data presentation.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Statistics with R Programming - The T-Test and Paired T-Test

Master t-tests and paired t-tests in R programming with step-by-step guidance on hypothesis testing and p-values for data analysis and statistical research.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Mastering the Tidyverse in R - Data Wrangling, Visualization, and Analysis

Master data manipulation, visualization, and analysis using R's powerful Tidyverse ecosystem including dplyr, ggplot2, tidyr, stringr, and lubridate for efficient workflows.

• YouTube
• 8 hours 59 minutes
• Self-Paced
• Free Video

R Programming for Beginners - Complete Guide to Data Analysis and Visualization

Discover R programming fundamentals from installation to data visualization, cleaning, and manipulation using tidyverse and dplyr packages.

• YouTube
• 5 hours 53 minutes
• Self-Paced
• Free Video

Data Manipulation with R Programming - Tidyverse and Dplyr for Beginners

Master data wrangling with R and tidyverse packages through hands-on manipulation, filtering, cleaning, and transformation techniques for beginners.

• YouTube
• 5 hours 4 minutes
• Self-Paced
• Free Video

Statistics with R Programming - A Practical Guide

Master essential statistical concepts and techniques using R programming, from descriptive statistics to advanced regression analysis and hypothesis testing.

• YouTube
• 3 hours 26 minutes
• Self-Paced
• Free Video

Logistic Regression using R Programming

Master logistic regression in R through hands-on modeling, from simple models to handling confounding variables, interactions, and collinearity assumptions.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Manipulating Text in R

Master essential text manipulation techniques in R using the stringr package, covering pattern detection, replacement, case conversion, and string splitting functions.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Multiple Regression Analysis - From Simple Linear to Complex Models

Master multiple regression analysis in R, covering variable selection, confounding, collinearity, outliers, interactions, and assumption validation for robust statistical modeling.

• YouTube
• 2 hours 19 minutes
• Self-Paced
• Free Video

Using AI to Write R Code

Discover how ChatGPT, Claude, and Gemini can accelerate your R programming workflow while learning essential coding skills for effective AI collaboration in data analysis.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Logistic Regression Model Assumptions in R Programming

Explore key assumptions behind logistic regression models, including linearity, error independence, and violation detection techniques using practical R programming examples.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Today I Learned in R Programming - RDS Files and the Here Package

Discover how to save files as RDS in R, preserving attributes, and explore the here package for efficient file path management in just 10 minutes.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Importing Data from Excel into R Studio

Discover how to import CSV files and Excel spreadsheets into R using the readxl package, set working directories, and handle missing values in this beginner-friendly guide.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Multiple Regression - Making Sure That Your Assumptions Are Met

Master linear regression diagnostics in R by validating model assumptions and performing multiple regression analysis to ensure statistical accuracy and reliability.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Adding Variables to Your Multiple Regression Model in R

Master multiple regression techniques by learning to incorporate categorical and numeric variables into statistical models for enhanced data analysis and prediction.

• YouTube
• 29 minutes
• Self-Paced
• Free Video