APIs

Lesson in the Machine Learning Roadmap · Stage 11: Data Sources

Last updated 14 September 2026

What is APIs?

Application Programming Interfaces, better known as APIs, play a fundamental role in the work of data analysts, particularly in the process of data collection. APIs are sets of protocols, routines, and tools that enable different software applications to communicate with each other. In data analysis, APIs are used extensively to collect, exchange, and manipulate data from different sources in a secure and efficient manner. This data collection process is paramount in shaping the insights derived by the analysts.

Study this in the interactive course See the whole Machine Learning roadmap

Free resources to learn APIs

ArticleWhat is an API?
ArticleA Beginner's Guide to APIs

APIs: common questions

Can I learn APIs in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain APIs in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this APIs tutorial for beginners?

It is lesson 43 of 150 in the free Machine Learning roadmap, in stage 11, Data Sources. If you are new to Machine Learning, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.