📊 R Mastery

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1. Variables & Assignment

Learn the unique syntax of R.

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2. Vectors & Data Frames

R is vectorized by nature. Manipulate lists and tables natively.

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3. Logic & Control (If/Else)

Teach your R script to make decisions.

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4. The Loops (For & While)

Iterate through data using R's loop structures.

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5. Custom Functions (function)

Write reusable blocks of statistical code.

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1. Loading & Piping (dplyr)

Load real CSV data and pass it through modern R pipelines.

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2. Transforming Data (Mutate)

Create new calculated columns on the fly.

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3. Merging Datasets (inner_join)

Combine demographics and sales into one master table.

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4. Executive Summaries (Group By)

Roll up thousands of rows into clean executive reports.

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5. Data Visualization (ggplot2)

Build professional-grade data visualizations using the Grammar of Graphics.

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1. The Crystal Ball (Linear Regression)

Predict the future using linear models.

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2. Categorical ML (Random Forests)

Build high-accuracy classification models.

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3. Advanced ML (Merged Features)

Train models on combined data sources.

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5. Functional Programming (purrr)

Stop using slow loops. Iterate over data instantly.