Data Science Fundamentals Part 1: Unit 2
This course dives into real-world data sourcing, including making web requests, web scraping, and integrating diverse data types from APIs, files, and databases. You'll learn to parse and structure data in formats like XML and JSON, and leverage object-oriented programming to create robust data models. By the end of the course, you’ll be equipped to efficiently acquire, transform, and prepare data for advanced analysis.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
The Future of RAG: Dead, Evolving… or Becoming the Brain of AI?
Medium · Machine Learning
Smart Routing, Transfer Family Ingestion, and Voice Chat — Permission-Aware RAG v4.2
Dev.to · Yoshiki Fujiwara(藤原 善基)@AWS Community Builder
Most Companies Doing GenAI Are Really Just Doing RAG: RAGOps Explained for analysts
Medium · RAG
RAG - Sliding Window, Token Based Chunking and PDF Chunking Packages
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI