Python for Data Visualization: Matplotlib & Seaborn

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Python for Data Visualization: Matplotlib & Seaborn

Coursera · Intermediate ·🔍 RAG & Vector Search ·1mo ago
In this hands-on project, we will understand the fundamentals of data visualization with Python and leverage the power of two important python libraries known as Matplotlib and seaborn. We will learn how to generate line plots, scatterplots, histograms, distribution plot, 3D plots, pie charts, pair plots, countplots and many more! Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

I Built GraphRAG From Scratch — Then a December 2025 Paper Made It Look Basic
Learn about HGMem, a new RAG architecture that overcomes limitations of binary graphs, and how it compares to GraphRAG
Medium · RAG
When Should You Use Text2Cypher in a GraphRAG Pipeline
Learn when to use Text2Cypher in a GraphRAG pipeline to retrieve precise graph results from natural language questions
Dev.to AI
How to build a production RAG pipeline in Python (without a vector database)
Learn to build a production-ready RAG pipeline in Python without relying on a vector database, and understand the key considerations for a scalable and efficient implementation
Dev.to · Ayi NEDJIMI
Architecting Sub-150ms Hybrid RAG for Voice Agents: Combining pgvector, BM25, and Async FastAPI…
Learn how to architect a sub-150ms hybrid RAG for voice agents using pgvector, BM25, and Async FastAPI to serve large industrial catalogs
Medium · Python
Up next
Watch this before applying for jobs as a developer.
Tech With Tim
Watch →