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Hundreds of free tutorials covering essential data science topics—about 70% Python and 30% R, shaped by learner demand.

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Getting Started in Data Science

What Is Data Science? Working with Data Positron IDE setup Quarto notebooks uv environments Python fundamentals
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Data Analytics with Pandas Python

Polars & Pandas plotnine & great_tables Matplotlib & Plotly Seaborn plotting
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Data Analytics with Polars Python

Polars fundamentals Data manipulation Lazy evaluation Performance optimization
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Data Analytics with R (dplyr) R

Tidyverse Data wrangling ggplot2 & ggtext gt & gtExtras
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Data Visualization

ggplot2 plotnine (Python) seaborn matplotlib
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Data Tabulation

gt & gtExtras great_tables (Python)
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Statistics with R R

Fundamentals Hypothesis testing Regression Inference
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Statistics with Python Python

Fundamentals Hypothesis testing Regression Inference
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Topics Python, R, Statistics, Data Visualization, Machine Learning, Data Analysis
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Data Analyst Path (Python)

Polars, Pandas, plotnine, great_tables, seaborn, matplotlib

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tidyverse, data cleaning & transformation, ggplot2, gt, gtExtras

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Statistics & Data Science Principles

Fundamentals of Statistics with Python & R

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Python → Statistics → Machine Learning → GenAI → Deep Learning

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