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    • Fundamentals of Statistics

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Coming Soon

Structured Learning Paths

Comprehensive courses designed to take you from fundamentals to mastery. Each course includes video lessons, hands-on projects, and community support.

Explore Courses Free Tutorials β†’
2026 Course Roadmap

Upcoming Courses

Four foundational courses launching this year. Each builds essential skills for your data science journey.

01
Coming Q2 2026
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Getting Started in Data Science

Your entry point into data science. Learn the foundations of Python, set up your development environment with Positron IDE, and understand the data science workflow.

What You'll Learn

  • What is Data Science and why it matters
  • Setting up Positron IDE and your development environment
  • Python fundamentals for data analysis
  • Working with Quarto notebooks
  • Managing environments with uv
  • Introduction to working with data
Level: Beginner Duration: 4-6 weeks Prerequisites: None
Get Notified When Available
02
Coming Q2 2026
πŸ€–

Prompt Engineering

Master the art of communicating with AI. Learn to write effective prompts that get better results from large language models like Claude, GPT, and others.

What You'll Learn

  • Understanding how LLMs process prompts
  • Prompt structure and formatting best practices
  • Chain-of-thought and step-by-step reasoning
  • Role-playing and persona prompts
  • Prompt templates for common tasks
  • Debugging and refining prompts
Level: Beginner to Intermediate Duration: 3-4 weeks Prerequisites: Basic computer literacy
Get Notified When Available
03
Coming Q3 2026
⚑

Data Analysis with Polars

Learn modern, high-performance data analysis with Polarsβ€”the lightning-fast DataFrame library that's changing how we work with data in Python.

What You'll Learn

  • Polars fundamentals and syntax
  • Data loading and export
  • Filtering, selecting, and transforming data
  • Aggregations and grouping operations
  • Lazy evaluation for performance
  • Real-world data analysis projects
Level: Intermediate Duration: 5-6 weeks Prerequisites: Python basics, Course 01 recommended
Get Notified When Available
04
Coming Q4 2026
πŸ“Š

Principles of Data Science / Fundamentals of Statistics

Build a solid foundation in statistics and data science principles. Learn to think critically about data, understand distributions, and make data-driven decisions.

What You'll Learn

  • Descriptive statistics and data summarization
  • Probability distributions and sampling
  • Hypothesis testing and p-values
  • Confidence intervals and estimation
  • Correlation and regression basics
  • Statistical thinking for real-world problems
Level: Intermediate Duration: 6-8 weeks Prerequisites: Python basics, basic math
Get Notified When Available
The PyStatR+ Approach

What Makes Our Courses Different

🎯

Project-Based Learning

Every course includes real-world projects you can add to your portfolio. Learn by doing, not just watching.

πŸ“š

Clear Explanations

Complex concepts broken down into digestible pieces. No unnecessary jargonβ€”just clarity and understanding.

🀝

Community Support

Join a community of learners. Get help, share your progress, and learn together.

⏰

Learn at Your Pace

All courses are self-paced. Access materials anytime, revisit lessons, and learn on your schedule.

Can't Wait?

Start Learning Todayβ€”For Free

While our courses are in development, explore hundreds of free tutorials on YouTube, Facebook, and Medium. Build your skills now and be ready when courses launch.

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