R Beginner
Learn to create basic graphs in R Studio, including bar plots, scatter plots, and box plots. Explore ggplot for data visualization and run simple programs for biological applications.
RNAseq Analysis
Comprehensive guide to RNAseq analysis, covering DEGs, enrichment analysis, data manipulation, and WGCNA, with practical R tutorials for bioinformatics beginners.
RStudio Tutorial
Comprehensive RStudio tutorial covering statistical analysis, data visualization, bioinformatics, machine learning, and more. Ideal for beginners and advanced users seeking practical skills in R programming.
R Programming
Learn R programming fundamentals for bioinformatics applications, covering essential concepts and techniques in a comprehensive two-part introduction.
UseR! 2020: Biostatistics
Explore biostatistics applications in R, covering clinical trials, mortality analysis, metaproteomics, descriptive tables, ETL, anthropometry, leukemia treatment, meningioma genomics, and survival curve comparisons.
R Data Science Project
Learn practical R data science skills through hands-on tutorials covering exploratory analysis, machine learning, data visualization, and building interactive web applications with Shiny.
R Shiny Web Application
Learn to create interactive web applications using R Shiny, from basics to advanced features like data-driven apps and machine learning integration. Deploy your creations on Heroku.
Topology for Time Series
Explore topological algorithms for time series comparison using persistent homology. Learn implementation in R, understand caveats, and gain practical insights through live coding and dataset analysis.
R and Python - The Best of Both Worlds
Explore the synergy between R and Python for data science, comparing their features, workflows, and data types. Learn to combine both languages for optimal results in various data science tasks.
Text Analytics Crash Course with R
Learn text analytics fundamentals, data processing, machine learning models, and visualization techniques using R. Master handling big data and optimizing models for valuable insights from unstructured text.
Crash Course on Naive Bayes Classification
Comprehensive introduction to Naive Bayes classification, covering theory and practical applications through R coding examples, from probability basics to real-world predictive models.
Finding the Tallest Tree - Comparing Tree-Based Models
Explore various tree-based models in R, comparing decision trees, random forests, and boosted trees. Learn about different packages, their implementation, and evaluate models based on user-friendliness, accuracy, and speed.
Getting Started with Python and R for Data Science
Learn to set up Python and R for data science, create a simple linear regression model, and push code to GitHub. Suitable for Windows, Mac, and Linux users.
R Tutorial for Beginners
Aprenda R desde cero: instalación, conceptos básicos, estructuras de datos, gráficos y estadísticas. Tutorial completo en hindi para principiantes con ejemplos prácticos.
Functions and Packages in R - Data Science Tutorial
Learn about different types of R functions, including built-in, user-defined, and package functions. Explore function creation, usage, and package installation in this Tamil-language tutorial.
Loops and Control Flow in R Programming - Data Science in Tamil
Learn about control flow, iterations, and loops in R programming for effective data manipulation and analysis.
Using Python in a Traditional Office Environment
Estrategias para integrar Python en entornos de oficina tradicionales, incluyendo generación de reportes, automatización de tareas y desarrollo de aplicaciones para usuarios no programadores.
Mapping Geographic Data in R - Joy Payton
Learn to create publication-quality maps using R, combining public data sources to uncover interesting patterns. Covers geojson, shapefiles, Census data, geocoding, and data visualization principles.
Blended Web and Database Attacks on Real-time, In-Memory Platforms
Explore blended web and database attacks on real-time, in-memory platforms, focusing on SAP HANA. Learn about novel exploit techniques, vulnerabilities, and security considerations for these high-performance systems.
Make a Beautiful Ggplot2 Bar Chart from Basic to Powerful Themes
Learn to create stunning ggplot2 bar charts in R, from basic techniques to advanced theming. Master data cleaning, chart customization, and professional visualization using real-world crime data.
Pseudo-Bulk Analysis for Single-Cell RNA-Seq Data - Detailed Workflow Tutorial
Comprehensive tutorial on pseudo-bulk analysis for single-cell RNA-Seq data, covering the what, why, and how. Includes data manipulation, aggregation, and differential expression analysis using R, Seurat, and DESeq2.