📈 Dive into data science with our R Studio repository! Packed with a comprehensive collection of free R resources and online tools, this is your go-to place for mastering R programming. Perfect for statisticians, data analysts, and researchers looking to harness the power of R.
| Index | Name | Category | Description |
|---|---|---|---|
| 1 | R Programming Tutorial | Video Courses | Comprehensive R programming course covering data manipulation, visualization, and statistical modeling. Learn the fundamentals of this powerful data analysis tool. |
| 2 | R Basics | Video Courses | Learn the fundamentals of R programming language, including navigating RStudio, creating basic graphs, and utilizing R packages and help tools. |
| 3 | Data Analysis with R | Video Courses | Explore and summarize data sets using R. Learn techniques for investigating relationships between variables and create your own data analysis. |
| 4 | R Notes for Professionals | Technical Tutorials | Comprehensive guide to R programming and data analysis for professionals, compiled from StackOverflow Documentation. Covers wide range of topics, includes popular packages, and provides practical examples. |
| 5 | Practical Regression and Anova using R | Technical Tutorials | Comprehensive guide to regression analysis and ANOVA using R programming language. Covers practical applications, techniques, and best practices for data analysts and researchers. |
| 6 | Data Visualization with R | Technical Tutorials | Learn data visualization techniques in R, including ggplot2 and more. Suitable for beginners and intermediate users, with practical examples and hands-on exercises. |
| 7 | Probability and Statistics with Examples using R | Technical Tutorials | Comprehensive guide to probability and statistics using R, with emphasis on mathematical rigor, real-world examples, and computational tools. |
| 8 | Statistical Learning in Practice | University Courses | Practical introduction to statistical learning techniques, covering linear regression to advanced methods like tree-based models and SVMs. Hands-on exercises and expert instruction. |
| 9 | Statistical Rethinking | University Courses | Comprehensive introduction to Bayesian statistical modeling, covering probability theory, MCMC, and practical applications. Taught by renowned statistician Richard McElreath. |
| 10 | Data Science | University Courses | Comprehensive data science course covering data collection, preprocessing, analysis, and visualization. Taught by renowned expert Steven Skiena at Stony Brook University. |
| 11 | Statistical Learning | University Courses | In-depth 15-hour video course on machine learning techniques, taught by renowned Stanford professors. Gain theoretical and practical understanding of statistical learning. |
| 12 | Data Science Foundations | University Courses | Explore the foundations of data science with the UC Berkeley Data 8 course, combining inferential thinking, computational thinking, and real-world relevance. |
| 13 | Data Computing Concepts | University Courses | Explore data analysis, visualization, and programming with R in this comprehensive course from UC Berkeley. Suitable for beginners, learn essential data skills. |
| 14 | Introduction to Programming with R | University Courses | Explore the popular R language for data science and statistical computing. Learn to use RStudio, represent real-world data, and create visualizations. |
| 15 | Spatial Data Science | University Courses | Explore the fundamental concepts and techniques of spatial data analysis with hands-on experience using cutting-edge software and programming languages. |
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