This repository provides materials for a session that is part of the I2DS Tools for Data Science workshop run at the Hertie School, Berlin in November 2021. The student-run workshop is part of the course Introduction to Data Science taught by Simon Munzert at the Hertie School, Berlin, in Fall 2021.
This session will introduce you to gathering data via APIs (Application Programming Interface). Finding complete, up-to-date data is a critical part of the data science workflow, and web APIs provide organized datasets directly from the source! Learning to connect to an organization's API will allow you to find valuable datasets and refrain from duplicating efforts already mastered by companies like Google (ex: Google Maps).
The goals of this session are to (1) understand what an API is, (2) show you how to connect and query one, and (3) give you examples of valuable APIs and further reading.
Christine Cepelak (twitter)
Dominik Cramer
API Basics by IBM
APIs for Beginngers by FreeCodeCamp on YouTube
Working with APIs for Data Science by Dataquest
Google Maps
Google Analytics
Twitter
The material in this repository is made available under the MIT license.
Christine Cepelak updated the README, created the slides, and recorded the presentation.
Dominik Cramer prepared the examples.