Data I/O and Preprocessing with Python and SQL

DeepLearning.AI places SQL inside a larger data-preparation workflow. Web and API inputs lead into databases, then validation and joins. This beginner course is useful for learners who need to understand how records reach an analysis rather than only practice isolated query syntax.

What you will learn

• Collect and prepare data from different input routes.
• Explain how a database fits a preparation workflow.
• Use SQL validation and joins to inspect and combine records.

Who this suits

Beginners; the provider states that previous experience is unnecessary.

Before you enroll

Check the Python, SQL and lab setup before beginning. Data collection also requires attention to source permissions and changes in input structure.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Combine two small public datasets and record unmatched keys. Add a validation query that identifies an unexpected missing value before the data is used for analysis.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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