Labs

🎉 Congratulations! You’re Ready for Real-World Practice

Great work! You’ve learned the core principles of using AI to enhance your learning and integrate it responsibly into your coding workflow. You understand how to:

  • ✅ Build fundamental skills while leveraging AI assistance
  • ✅ Validate AI outputs and catch common pitfalls
  • ✅ Write effective prompts for data science tasks
  • ✅ Use AI as a learning tool, not a crutch

Now it’s time to put it all together! These Labs will give you hands-on experience incorporating AI into real data analysis projects, so you can get a feel for how this actually works in practice.

The Labs in this module are designed to take your data analysis skills to the next level—without needing to be an expert. They allow you to explore practical, real-world applications of Python, Pandas, and Matplotlib that bring together everything you’ve learned.

Whether you’re analyzing energy markets, exploring climate data, or visualizing trends, these Labs will show you how to combine AI with data analysis tools to tackle complex problems—step by step 💡

✨ What Makes These Labs Special?

  • ✅ Real-World Datasets
    Work with authentic data from sources like the Australian Energy Market Operator (AEMO). These aren’t toy examples—they’re the kind of datasets you’ll encounter in actual data science work.

  • 🧠 Learn by Prompting
    Each Lab helps you think in terms of analysis goals—how to describe what you want clearly so you can collaborate with an AI assistant to write the code.

  • 🎯 Choose What Interests You
    You don’t have to complete all Labs. Pick the ones that inspire you and align with your interests or future goals.

  • 🤝 AI-Supported Learning
    You’ll see how prompting an LLM can help you explore data, create visualizations, debug your code, and build more complex analyses, even if you’re just starting out.

  • 📊 Prompt-First Approach
    Before jumping into code, you’ll write prompts describing what you want to achieve. This builds your ability to think through analysis steps and communicate clearly with AI tools.

🧪 Included Labs

Here’s a quick overview of what you’ll explore:

🔹 Lab 1: Analyzing Energy Market Data

Work with real electricity demand and pricing data from Australia’s National Electricity Market. You’ll load, clean, explore, and visualize the data to uncover patterns in energy consumption and pricing across different states.

What you’ll practice:
- Loading and exploring large datasets
- Creating multiple visualizations (boxplots, time series, subplots)
- Analyzing relationships between variables
- Using log scales for better visualization
- Writing effective prompts for data analysis tasks

🔹 Lab 2: Advanced Data Exploration

Take your analysis further with more complex data manipulation and visualization techniques. This lab builds on Lab 1 with additional challenges and extensions.

What you’ll practice:
- Advanced filtering and grouping
- Creating custom visualizations
- Comparing multiple datasets
- Iterating on prompts to refine your analysis
- Validating results with domain knowledge

🚀 Get Ready to Explore

Each Lab:

  • Walks you through the process step-by-step
  • Includes prompting suggestions
  • Encourages experimentation
  • Gives you space to compare your solutions with expected approaches
  • Builds your confidence in reading, writing, and debugging data analysis code ✨
Note

Note: These Labs are beginner-friendly, but will stretch your skills in exciting ways. Think of them as opportunities to analyze real data, not just practice syntax.

Ready to dive in? Choose your first Lab and let Python, Pandas, and your curiosity lead the way! 🧑‍💻📊