📊Section 1 of 5
📊Lesson 4 — Data Science Essentials
The Situation
It's Monday morning.
Your team just dumped a year of sales data on your desk and asked the kind of questions execs love:
- Which city is pulling the most revenue?
- Which products are stalling?
- Are we trending up or down month-over-month?
The data is messy. The deadline is real. You have Python.
This lesson is how you solve it — one library at a time.
Your Toolkit
| Part | Tool | What it does |
|---|---|---|
| 1 | NumPy | Compute stats across thousands of numbers at once |
| 2 | Pandas | Build the summary tables that answer real questions |
| 3 | Matplotlib | Draw charts that tell the story |
| 4 | Seaborn | Add statistical depth and beauty to your charts |