Data Science Fundamentals Part 1: Unit 2

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Data Science Fundamentals Part 1: Unit 2

Coursera · Beginner ·🔍 RAG & Vector Search ·1mo ago
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

Related AI Lessons

⚡
Most Companies Doing GenAI Are Really Just Doing RAG: RAGOps Explained for analysts
Learn why RAGOps is becoming the preferred approach for GenAI projects and how it differs from agent-based approaches
Medium · RAG
 ⚡
RAG - Sliding Window, Token Based Chunking and PDF Chunking Packages
Learn about RAG chunking mechanisms, including Sliding Window, Token Based, and PDF Chunking, to improve your AI model's text processing capabilities
Dev.to AI
 ⚡
Ever Wondered How to Make Your RAG More Effective?
Improve your RAG effectiveness by connecting instead of searching
Medium · RAG
 ⚡
Why StarRocks Is Better Than Elasticsearch for RAG and AI-Powered Vector Search Analytics
Learn why StarRocks outperforms Elasticsearch for RAG and AI-powered vector search analytics, and how to apply this knowledge to improve your data architecture
Medium · LLM
Up next
Watch this before applying for jobs as a developer.
Tech With Tim
Watch →