Colors for Data Science A-Z: Data Visualization Color Theory: is it worth it?
by Patrycja Hannagan, SuperDataScience Team, Ligency · All Levels · Business
Learn how to apply colour theory to improve your Data Science & Analytics data visualisations and presentations
Good, but with a weak spot (see the breakdown). Only buy at a discounted sale price. Not updated for 34 months — check whether the tools it teaches have changed.
Score breakdown
| Adjusted rating (4.62; raw 4.7 from 1,481 reviews) | 41 / 50 |
| Review volume (social proof) | 16 / 25 |
| Freshness (last updated Dec 2023) | 3 / 25 |
| Total | 60 / 100 |
|---|
How it compares in Data Visualization
Ranks #6 of 9 popular Data Visualization courses we track by score. Its rating of 4.7 is above the Data Visualization median of 4.5.
When to buy
Udemy runs storewide sales frequently and list prices are rarely what buyers pay, so the usual advice is to wait for a sale price instead of paying list price. Prices differ by country and account, so we do not show them; check the current price on Udemy.
Tracked history
| Date | Rating | Reviews | Video |
|---|---|---|---|
| 2026-10-10 | 4.7 | 1,481 | 3h 46m |
Tracking since 2026-10-10. Snapshots are taken every few days.