Pricing
- First chapter of every course included
- Create a professional profile included
- Live code-alongs included
- Access to 720+ courses
- AI Native course credits included
- Earn certificates
- Everything in Premium plus manage your group
- License management tools
- View learning activity and track progress
Pricing from the official site, verified Jun 2026. Always confirm current prices on the vendor site.
Pros & cons
Our analysisPros
- Browser-based environment; no local setup needed
- ~90 hours of hands-on Python and ML material
- Progress tracking and skill gap assessments included
- Content updated regularly with new libraries
- Covers full ML pipeline from basics to neural networks
Cons
- No free tier available
- Paid subscription required from the start
- No API or integration hooks
What users say
DataCamp's Machine Learning Scientist track is commonly used by developers who know Python basics and want a structured, hands-on route into machine learning without managing a local environment. A frequently noted strength is the browser-based coding setup and regular content updates. A common limitation is the absence of a free tier, requiring a paid subscription to access the full 90-hour curriculum.
Editorial summary based on public information.
Best for
Python developers seeking a structured path into machine learning
Manually choose competitor
DataCamp – Machine Learning Scientist with Python
| Feature | ||
|---|---|---|
| Pricing | Paid | Freemium |
| Price from | $28/mo | — |
| Free tier | No | Yes |
| API | No | Yes |
| Open source | No | No |
| Platforms | Desktop | API |
| Models | Datacamp | Connectedpapers |
| Context window | 8k | — |
| Launched | 2014 | 2025 |
Top alternatives to DataCamp – Machine Learning Scientist with Python
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Specs
| Pricing | Paid |
|---|---|
| Price from | $28/mo |
| Free tier | No |
| API | No |
| Open source | No |
| Platforms | Desktop |
| Models | Datacamp |
| Context window | 8k |
| Launched | 2014 |

