# Data science foundations

> Work through data cleaning, visualization, modelling and interpretation.

Prerequisites: Algebra and basic statistics.

Short self-study course; not an accredited qualification or a complete university syllabus.

## Lessons

- [Data quality and cleaning](https://studybrix.com/en/courses/data-science/free-ds-data/index.md): university; 8 questions.
- [Visualization and summaries](https://studybrix.com/en/courses/data-science/free-ds-viz/index.md): university; 8 questions.
- [Prediction and evaluation](https://studybrix.com/en/courses/data-science/free-ds-model/index.md): university; 8 questions.
- [Inference and responsible interpretation](https://studybrix.com/en/courses/data-science/free-ds-interpret/index.md): university; 8 questions.