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Statistics
Statistics with R
1. Introduction to R and Statistical Computing
2. R Fundamentals and Basic Operations
3. R Package System
4. R Data Structures
5. Data Import and Export
6. Data Cleaning and Preprocessing
7. Data Manipulation with dplyr
8. Descriptive Statistics
9. Data Visualization Fundamentals
10. Advanced Data Visualization with ggplot2
11. Probability Theory
12. Probability Distributions
13. Sampling and Sampling Distributions
14. Statistical Inference Foundations
15. Hypothesis Testing Framework
16. One-Sample Tests
17. Two-Sample Tests
18. Chi-squared Tests
19. Analysis of Variance (ANOVA)
20. Correlation Analysis
21. Simple Linear Regression
22. Regression Diagnostics
23. Multiple Linear Regression
24. Generalized Linear Models
25. Nonparametric Statistics
26. Introduction to Time Series Analysis
27. Introduction to Machine Learning
28. Reproducible Research
29. Statistical Computing Best Practices
Data Visualization Fundamentals
Principles of Data Visualization
Purpose of Visualization
Choosing Appropriate Charts
Visual Perception
Color Theory
Design Principles
Base R Graphics
plot() Function
hist() Function
boxplot() Function
barplot() Function
Graphics Parameters
Multiple Plots
Introduction to ggplot2
Grammar of Graphics
ggplot2 Philosophy
Layer-based Approach
Aesthetic Mappings
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10. Advanced Data Visualization with ggplot2