R Programming 101 Courses

Ggplot2 Data Visualization with Geometries in R

1 review

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
• On-Demand
• Free Video

Advanced ggplot - Using ggplot2 and Lubridate Together for Data Visualization

Discover how to effectively combine ggplot2 and lubridate packages for time-based data visualization in R, enhancing your ability to create insightful temporal graphics.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Today I Learned in R Programming - Tips and Tricks for Data Science

Discover essential R programming tips and tricks for data science, statistics, and coding in this quick 12-minute tutorial episode.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Interactive Tables Using the DT Package in R

Discover how to create interactive tables in R using the DT package, perfect for beginners in data visualization with easily replicable examples.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Today I Learned in R - Tips and Tricks for Anyone Learning R Programming

Discover essential R programming hacks and tricks to enhance your coding skills and streamline your data analysis workflow in this practical tutorial.

• YouTube
• 19 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video