Data Visualization
Seeing data reveals patterns numbers hide. Good charts are how you understand data and communicate findings.
Learn it
Learn the core chart types and when to use them: histogram (distribution), scatter (relationship), line (trend), bar (comparison). Learn to label axes and avoid misleading charts.
By the end you’ll be able to
- Plot distributions and relationships
- Read a chart critically
Free resources
- Corey Schafer — Matplotlib Tutorials (playlist)(opens in a new tab)Start here
Chart types and when to use each
Freeplaylist - Kaggle Learn — Data Visualization(opens in a new tab)
Hands-on Seaborn charts, choosing the right chart
Free~5 lessons - Matplotlib — Pyplot Tutorial (docs)(opens in a new tab)
Official intro to the pyplot interface
Free
Practice
For your pandas dataset, make a histogram of one numeric column and a scatter plot of two columns.
Build it — your output
A one-page visual summary of a dataset: 3 charts, each with a caption explaining what it shows.
Prove it — check yourself
You’re ready to move on when you can honestly say yes to each:
- Can you pick the right chart for a question?
- Can you label and title a chart?
- Can you read a scatter plot for correlation?
Do it with AI
Use a free AI tool as your tutor and pair-programmer. Copy a prompt below into Claude, ChatGPT, or Gemini (for building, try Cursor or Copilot).
The habit: Try it yourself first — a little struggle is where the learning actually happens. Then ask for a hint before the answer — never copy blindly.
- Understand itClaude / ChatGPT / Gemini
I'm a beginner learning "Data Visualization". Explain it in simple terms with a real-world analogy, then ask me ONE question to check my understanding — don't reveal the answer.
- PracticeClaude / ChatGPT / Gemini
Give me 3 short practice problems on "Data Visualization" (my goal: plot distributions and relationships), from easy to hard. Don't include the solutions yet — I'll try them first, then ask you to check.
- Get unstuckClaude / ChatGPT / Gemini
I'm stuck on this exercise about "Data Visualization": [paste your attempt here]. Give me ONE small hint to move forward — do NOT give me the full solution.
- Build & reviewCursor / Copilot
Here is my work for a "Data Visualization" task: [paste your code or answer]. Review it: point out what's wrong and WHY, and suggest improvements — but let me make the fixes myself.
- Prove itClaude / ChatGPT / Gemini
Quiz me on "Data Visualization". Ask me 5 questions one at a time, wait for my answer each time, then tell me if I'm right and briefly why.