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Streamlined Data Ingestion with pandas

Instructor : Amany Mahfouz

This course teaches you

how to build pipelines to import data kept in common storage formats.

You’ll use pandas, a major Python library for analytics, to get data from a variety of sources,

from spreadsheets of survey responses, to a database of public service requests, to an API for a popular review site.

Along the way, you’ll learn how to fine-tune imports to get only what you need and to address issues like incorrect data types.

Finally, you’ll assemble a custom dataset from a mix of sources.