Descriptive stats, distributions, A/B testing, t-tests, chi-square, and the p-value interpretation that separates signal from noise in real data.
~1 hourIntermediateHands-onPrecision AI Academy
Today's Objective
Descriptive stats, distributions, A/B testing, t-tests, chi-square, and the p-value interpretation that separates signal from noise in real data.
01
What You'll Cover Today
Day 4 of Web Analytics in 5 Days focuses on dashboards in looker studio. Connect GA4, build reports, dimensions vs metrics, sharing. 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: Looker Studio, reports, sharing. Each section has code you can copy and run immediately.
02
Looker Studio
Understanding looker studio 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 — Looker Studio
// Dashboards in Looker Studio — working example
// Replace these values with your actual data
const example = {
topic: 'Looker Studio',
day: 4,
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 Looker Studio');
03
reports
Once you have the basics, reports 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 reports, 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 4
Skipping error handling — every real-world implementation needs error handling. Add it from the start, not as an afterthought.
Hard-coding configuration — use environment variables for anything that differs between development and production.
Not reading error messages — error messages in Web are usually precise. Read them carefully before searching Stack Overflow.
Over-abstracting too early — make it work first, then refactor. Premature abstraction is the enemy of progress.
📝 Day 4 Exercise
Dashboards in Looker Studio — Hands-On
Set up your environment for today's topic: install required packages and verify the basics work.
Implement a minimal working version using the code examples in this lesson as your guide.
Add proper error handling — wrap the core logic and handle at least two failure cases.
Test your implementation with both valid and invalid inputs.
Review your code: is there anything you'd name differently? Any function doing more than one thing?
Day 4 Summary
Looker Studio is the foundation — understand it before moving on.
reports is how you apply it in real projects.
Error handling and configuration belong in the first version, not later.
Read error messages carefully — they usually tell you exactly what's wrong.
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.
The foundations from today carry directly into Day 5. In the next session the focus shifts to Dashboards and BI Tools — building directly on everything covered here.