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Free tutorials for everyone. Members get early access and supporter perks as they become available.
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Join CommunityโBlog Tutorials
In-depth written tutorials with code examples and downloadable notebooks.
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Free Content on YouTube
Hundreds of free tutorials covering essential data science topicsโabout 70% Python and 30% R, shaped by learner demand.
Introduction to Data Science
- Positron IDE setup and workflows
- Quarto notebooks and publishing
- uv environments and dependency management
- Python fundamentals and data structures
Data Science Python
- Polars and Pandas workflows
- Visualizations with plotnine & tables with great_tables
- Visualization with Matplotlib and Plotly
- Seaborn and statistical plotting
Data Science R
- Tidyverse workflows
- Data transformation and wrangling
- Visualization with ggplot2 and ggtext
- Tables with gt and gtExtras
Statistics
- Fundamentals in Python and R
- Hypothesis testing
- Regression analysis
- Statistical inference
YouTube Channel Membership
Take your learning to the next level with optional member perksโwhile core tutorials remain free for everyone.
- โ Early access to new tutorials
- โ Exclusive members-only content
- โ Members-only live streams and Q&A
- โ Custom badges and loyalty recognition
- โ Priority responses in comments (when available)
- โ Downloadable resources and code files (where included)
One-on-One Tutoring
Get tailored guidance aligned to your goalsโwhether youโre learning fundamentals or building real projects.
Private Tutoring Sessions
Book a 1:1 session for hands-on support in Python, R, statistics, machine learning, or applied data analysis.
Structured Learning Paths
Weโre building guided learning paths that take you from beginner fundamentals to job-ready skills. Sign up to get notified when they launch.
Data Analyst Path (Python)
Polars, Pandas, plotnine, great_tables, seaborn, matplotlib
Data Analyst Path (R)
tidyverse, data cleaning & transformation, ggplot2, gt, gtExtras
Statistics & Data Science Principles
Fundamentals of Statistics with Python & R
Data Scientist Path
Python โ Statistics โ Machine Learning โ GenAI โ Deep Learning
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Clear Explanations
Complex concepts, explained step by stepโwithout unnecessary jargon.
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