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

Multiple Regression - Making Sure That Your Assumptions Are Met

1 rating

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

Multiple Regression Analysis Using R Programming - From Beginning to End

Master multiple regression analysis using R programming, from basic concepts to diagnostic tests and assumption validation for accurate predictive modeling.

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

Data Manipulation and Cleaning in R with dplyr - A Beginner's Guide

Master essential data manipulation techniques using dplyr functions like select, filter, mutate, group_by and summarise to efficiently clean and transform your datasets in R programming.

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

Themes in ggplot2 - Making Your Data Visualizations Stand Out

Master the art of customizing ggplot2 themes in R, from applying preset styles to fine-tuning every visual element for creating stunning and professional data visualizations.

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

Creating Lollipop Plots with R and ggplot2 - Part 3

Master the creation of elegant lollipop plots in R using ggplot2, focusing on data visualization techniques and practical implementation with built-in datasets for hands-on practice.

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

Handling Missing Data and Missing Values in R Programming - NA Values, Imputation, and naniar Package

Discover effective techniques for handling missing data in R through NA value management, imputation methods, and visualization using the naniar package for accurate data analysis.

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

Multiple Regression Analysis - Effect Modifiers and Interactions in R Programming

Master statistical modeling techniques for handling effect modifiers and variable interactions in multiple regression analysis using R programming fundamentals.

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

Multiple Regression - Dealing with Outliers and Collinearity in Data Analysis

Master statistical analysis techniques for handling outliers and collinearity in multiple regression, including identification methods and decision-making for model optimization.

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

Simple Linear Regression in R - Introduction to Regression Analysis

Master simple linear regression fundamentals through R programming, exploring relationships between variables, creating models, and making predictions for data-driven insights.

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

Multiple Regression - Variable Selection Methods Using R

Master variable selection techniques in R for multiple regression models, including stepwise methods, multicollinearity assessment, and R-squared optimization for precise statistical analysis.

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

Tips and Tricks for Creating Documents with Quarto in RStudio

Discover essential tips for creating polished documents and presentations with Quarto in RStudio, enhancing your data analysis and research workflow with efficient document generation.

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

Manipulating Date and Time Data in R with Lubridate

Master date and time manipulation in R using lubridate package, featuring intuitive functions for parsing, extracting, and working with temporal data in the tidyverse ecosystem.

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

Introduction to Loops in R Programming for Data Analysis

Master the fundamentals of loops in R programming to efficiently analyze data and generate insights through repetitive code execution and automated data processing techniques.

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