# From data analysis to AI

Source: https://freeaicourses.com/paths/data-science-to-ai

## Steps

### Step 1: Kaggle Learn: Python

The fastest way to convert spreadsheet fluency into real code.

You can write Python to manipulate and analyse data.

### Step 2: Kaggle Intro to Machine Learning

Turns your analysis skills into your first predictive model.

You've trained a model on data you understand well.

### Step 3: Machine Learning Crash Course

Builds the conceptual foundation underneath the model you trained.

You can explain why the model works, not only that it does.

## Related pages

- [Kaggle Learn: Python](https://freeaicourses.com/courses/kaggle-python)
- [Kaggle Intro to Machine Learning](https://freeaicourses.com/courses/kaggle-intro-machine-learning)
- [Machine Learning Crash Course](https://freeaicourses.com/courses/machine-learning-crash-course)
- [AI learning paths free to follow](https://freeaicourses.com/paths)
- [All free AI courses, rated](https://freeaicourses.com/courses)
- [Data scientist](https://freeaicourses.com/roadmaps/data-scientist)
- [AI learning path for non-coders](https://freeaicourses.com/paths/ai-for-non-coders)
- [Use AI tools well at work](https://freeaicourses.com/paths/ai-at-work)
- [Python for AI, from zero](https://freeaicourses.com/paths/python-for-ai)
- [Machine learning foundations](https://freeaicourses.com/paths/ml-foundations)
- [The maths ML actually uses](https://freeaicourses.com/paths/maths-for-ml)
- [Deep learning, hands-on](https://freeaicourses.com/paths/deep-learning)
- [Build apps with LLMs](https://freeaicourses.com/paths/build-with-llms)
- [Become an ML engineer](https://freeaicourses.com/paths/ml-engineer)
- [Kaggle Learn](https://freeaicourses.com/platforms/kaggle)
- [Google](https://freeaicourses.com/platforms/google)