R- Programming
Curriculum
- 1 Section
- 18 Lessons
- 10 Weeks
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- Lessons18
- 1.1Introduction to R Programming
- 1.2Basic R Syntax and Data Types
- 1.3R Data Structures: Vectors, Matrices, and Arrays
- 1.4R Data Structures: Data Frames and Lists
- 1.5Data Visualization with R: Base Graphics
- 1.6Data Visualization with R: ggplot2 Package
- 1.7Data Manipulation with dplyr Package
- 1.8Data Analysis and Statistics with R
- 1.9Control Structures and Functions in R
- 1.10Debugging and Profiling in R
- 1.11Advanced Topics in R: Object-Oriented Programming
- 1.12Advanced Topics in R: Parallel Computing and Big Data Analysis
- 1.13R Markdown and Reproducible Research
- 1.14R for Machine Learning: Introduction and Data Preprocessing
- 1.15R for Machine Learning: Supervised Learning Techniques
- 1.16R for Machine Learning: Unsupervised Learning Techniques
- 1.17R for Machine Learning: Model Evaluation and Selection
- 1.18R for Machine Learning: Advanced Topics and Applications