Day 02 Python

Python for Data Analysis: pandas and NumPy

DataFrames, Series, vectorized operations, and the pandas idioms that make analysis 10x faster than loops. NumPy for the math layer underneath.

~1 hour Intermediate Hands-on Precision AI Academy

Today's Objective

DataFrames, Series, vectorized operations, and the pandas idioms that make analysis 10x faster than loops. NumPy for the math layer underneath.

01

What You'll Cover Today

Day 2 of Web Analytics in 5 Days focuses on event tracking. GA4 events model, custom events, GTM setup, user properties. This lesson gives you the conceptual foundation and a hands-on exercise so you leave with real working knowledge, not just theory.

ℹ️
Topics today: events, GTM, user properties. Each section has code you can copy and run immediately.
02

events

Understanding events is foundational for everything in this course. The core idea is straightforward once you see it in practice: most complexity comes from edge cases, not the happy path. Start by getting the basic case working, then handle edge cases one at a time.

Example — events
// Event Tracking — working example
// Replace these values with your actual data

const example = {
  topic: 'events',
  day: 2,
  course: 'Web Analytics in 5 Days'
};

// This is where your implementation goes
function implement(config) {
  // 1. Validate inputs
  if (!config.topic) throw new Error('Topic required');
  
  // 2. Core logic
  const result = process(config);
  
  // 3. Return structured output
  return result;
}

console.log('Ready to implement events');
03

GTM

Once you have the basics, gtm becomes the practical application. The pattern you'll use most often is: configure once, reuse everywhere. Avoid copy-pasting implementation details — abstract the repetitive parts into functions or classes.

💡
Pro tip: When working with gtm, always read the official documentation for the exact API version you're using. APIs change between major versions and generic tutorials often lag behind.
04

Common Mistakes on Day 2

📝 Day 2 Exercise
Event Tracking — Hands-On
  1. Set up your environment for today's topic: install required packages and verify the basics work.
  2. Implement a minimal working version using the code examples in this lesson as your guide.
  3. Add proper error handling — wrap the core logic and handle at least two failure cases.
  4. Test your implementation with both valid and invalid inputs.
  5. Review your code: is there anything you'd name differently? Any function doing more than one thing?

Day 2 Summary

Challenge

Extend today's exercise by adding one feature that wasn't in the instructions. Document what you built in a comment at the top of the file. This habit of going one step further is what separates developers who grow fast from those who stay stuck.

What's Next

The foundations from today carry directly into Day 3. In the next session the focus shifts to Data Visualization — building directly on everything covered here.

Day 2 Checkpoint

Before moving on, verify you can answer these without looking:

  • What is the core concept introduced in this lesson, and why does it matter?
  • What are the two or three most common mistakes practitioners make with this topic?
  • Can you explain the key code pattern from this lesson to a colleague in plain language?
  • What would break first if you skipped the safeguards or best practices described here?
  • How does today's topic connect to what comes in Day 3?

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Continue To Day 3
Day 3: Conversions & Goals