R Tutorials
Comprehensive R tutorials covering data management, analysis, and visualization, with hands-on exercises using real datasets and practical applications in statistics and data science.
R for Beginners
Comprehensive R tutorials for beginners, covering installation, data manipulation, statistical analysis, and visualization. Hands-on approach with downloadable data files for practical learning.
Power & Sample Size in R
Learn to calculate power and sample size for various statistical tests in R, from t-tests to ANOVA and multivariate analyses, enhancing your ability to design robust studies.
Web Apps in R - Building Your First Web Application in R - Shiny Tutorial
Learn to build your first web application in R using Shiny. This tutorial covers the basics of Shiny, its structure, and how to create a simple, reactive app with customizable themes and interactive elements.
The 15 Most Important R Commands - R for Beginners
Learn essential R commands for data manipulation, visualization, and file handling, focusing on dplyr and tidyverse packages in RStudio. Ideal for beginners seeking to enhance their R programming skills.
Introduction to R Software
Learn R programming essentials: data handling, visualization, statistical functions, and basic calculations. Develop skills for efficient data analysis and manipulation using R software.
R Training- Matrices in R
Learn to create, manipulate, and perform operations on matrices in R, covering creation methods, indexing, slicing, arithmetic, and advanced matrix operations for data science applications.
Data Frames in R
Learn to create, import, export, and manipulate data frames in R. Master essential techniques for data analysis, including subsetting, extending, and transforming datasets.
Prepping Data for Analysis Using R
Learn techniques for preparing data for analysis using R, covering common issues, automated solutions, and practical demonstrations for handling missing values and categorical variables.
Poisson Regression with Tidymodels for Package Vignette Counts
Learn to fit zero-inflated Poisson regression models using tidymodels to analyze R package vignette counts, with practical examples and code demonstrations.
Predict Giant Pumpkin Weights With Tidymodels Workflowsets
Learn to predict giant pumpkin weights using tidymodels workflowsets. Explore data visualization, modeling techniques, and parallel processing for efficient analysis of #TidyTuesday pumpkin competition data.
Create a Custom Metric with Tidymodels and NYC Airbnb Prices
Learn to create custom metrics, predict Airbnb prices, and combine tabular and text data in models using tidymodels with NYC listings data.
Predict Astronauts' Mission Duration With Tidymodels and Bootstrap Aggregation
Explore astronaut mission duration prediction using R's tidymodels and bootstrap aggregation, featuring data analysis, preprocessing, and model evaluation techniques.
Impute Missing Data for Historical Voyages of Captive Africans Using Tidymodels
Learn to impute missing data in historical records of enslaved Africans' voyages using tidymodels, enhancing understanding of this crucial aspect of American history.
Modeling GDPR Violations in R With Tidymodels
Explore data preprocessing and modeling for GDPR violations using tidymodels in R. Learn feature engineering, workflow creation, and prediction techniques with real-world data.
Lasso Regression with Tidymodels and The Office
Implement lasso regression using tidymodels and The Office data to learn regularized modeling techniques in R, with practical examples and visualizations.
Data Preprocessing and Resampling Using Tidymodels
Explore data preprocessing and resampling techniques using tidymodels in R, focusing on college tuition and diversity data to build effective models and improve analysis skills.
Get Started With Tidymodels Using Vaccination Rate Data
Explore MMR vaccination rates using tidymodels in R, from data preparation to Bayesian modeling and result comparison.
Modeling Hotel Bookings in R Using Tidymodels and Recipes
Learn to predict hotel bookings using R, tidymodels, and recipes. Explore data, create visualizations, and build decision tree models to gain insights into booking patterns and improve predictions.
Use Enterprise Relational Databases with R and ODBC
Learn to access and manipulate enterprise databases using R and ODBC, focusing on SQL Server integration for efficient data analytics and management.
Azure Databricks with R - Deep Dive
Explore Azure Databricks using R for big data and machine learning. Learn Spark architecture, APIs, workspaces, and data manipulation techniques for efficient cloud-based analytics.