Compare 2 Data Visualization courses from top providers — filter by price, level, provider & certificate.
All 2 Data Visualization courses on Codecademy, compared by rating, level and price.
The courses from Codecademy listed here provide a strong foundation for future data visualization work. They teach programming languages and concepts essential for collecting, cleaning, and preparing data before visualization. For instance, Learn Python 2 and Python for Programmers build general Python skills, which are widely used for data manipulation and visualization with libraries like Matplotlib or Seaborn.
Similarly, Learn JavaScript can be a stepping stone for web-based data visualizations using libraries like D3.js, while Learn SQL is fundamental for database interaction to retrieve data.
| Course Title | Duration | Rating | Reviews | Price |
|---|---|---|---|---|
| Getting Started with Python for Data Science | 7h | 4.6 | 1853 | Free |
| Learn R | 14h | 4.5 | 2107 | Free |
| Learn SQL | 5h | 4.6 | 27213 | Free |
If you are specifically looking for courses that teach dedicated data visualization tools like Tableau, Power BI, or advanced libraries like D3.js, focusing solely on Codecademy might not meet your immediate needs based on the current available courses. The courses listed here build programming skills, which are prerequisites for many data visualization tasks, but they do not directly cover specialized visualization software or advanced design principles. For a broader selection of Data Visualization courses, you can explore options from various providers. If cost is a concern, consider Free Data Visualization Courses.
Same shortlist as below, side by side — including who runs it and why it stands out.
| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Learn R | Codecademy | 4.5★ | Free | 14h | Free — and still gives a certificate |
| Learn Tableau for Data Visualization | Codecademy | 4.5★ | Free | 1h | Quickest to finish (1h) |
