Data & AIBeginner · 14 weeks

Data, AI & Automation Foundations

Python, real datasets, and your first AI-powered tools.

Learn Python the way data and AI teams actually use it — cleaning real datasets, finding insights, and building small AI-powered tools. No prior coding experience required.

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What you'll be able to do

  • Write Python confidently — syntax, functions, and data structures
  • Clean and analyze real-world datasets with pandas
  • Visualize data and communicate findings
  • Understand how modern AI models work and where they fit
  • Build a small AI-powered project using a real API

// Curriculum

Your commit log for this track

4 modules · 385 XP total

  1. git initmodule 1 of 4

    Python Foundations

    Your first programs, the data-science way.

    • Why Python (and Why It Matters Here)20m · 20xp
    • Variables, Types & Control Flow35m · 25xp
    • Lists & Dictionaries30m · 25xp
  2. git commitmodule 2 of 4

    Working with Data

    pandas, real datasets, and your first analysis.

    • Intro to pandas35m · 30xp
    • Cleaning Messy Data40m · 30xp
    • Visualizing Data35m · 30xp
  3. git mergemodule 3 of 4

    Intro to AI

    How modern AI models actually work.

    • How AI Models Actually Work30m · 35xp
    • Calling an AI API35m · 35xp
    • Prompting & Evaluation35m · 35xp
  4. git push --deploymodule 4 of 4

    Ship an AI Tool

    Build and share a small, real AI-powered project.

    • Planning Your Project25m · 40xp
    • Building the Tool60m · 40xp
    • Presenting Your Work30m · 40xp