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Data Science Tutorials

Learn data science and AI with step-by-step tutorials on the DataCamp blog. Master Python, SQL, machine learning, and build your own AI agents.
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Qwen-Image-Layered: A Hands-On Guide to Image Decomposition

Learn to automate image editing with Python. Use Qwen-Image-Layered to decompose images into editable RGBA layers and rebuild them in a Streamlit app.
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Bex Tuychiev

January 19, 2026

SQL Data Types: Essential Guide for Beginners

Master SQL data types in MySQL, PostgreSQL & SQL Server. Learn to choose the right numeric, text, and date formats to optimize performance and data integrity.
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Amberle McKee

January 19, 2026

MongoDB Indexing Best Practices: Performance Tips & Tricks

Learn about how to create MongoDB indexes and some tips and tricks to get the best performance out of them.
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Nic Raboy

January 19, 2026

SQL ON DELETE RESTRICT: Prevent Accidental Data Loss

Understand how SQL ON DELETE RESTRICT protects data integrity. Learn how it blocks unsafe deletes and when to choose it over CASCADE or SET NULL rules.
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Allan Ouko

January 16, 2026

SQL ON DELETE CASCADE: Automatically Remove Dependent Data

Understand how SQL ON DELETE CASCADE automates dependent deletes in SQL, keeps tables consistent, and helps prevent accidental data loss.
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Allan Ouko

January 16, 2026

Claude Cowork Tutorial: How to Use Anthropic's AI Desktop Agent

Learn what Claude Cowork is and how to use for file organization, document generation, and browser automation. Hands-on tutorial with real examples and limitations.
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Bex Tuychiev

August 11, 2026

Update Docker: A Step-by-Step Guide

Learn how to update Docker Engine, Docker Desktop, and container images — all without breaking your setup.
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Dario Radečić

January 14, 2026

Multimodal RAG: A Hands-On Guide to Learning from Documents

Learn to build a Multimodal RAG pipeline for a visual Q&A system on IKEA assembly instructions using the OpenAI API and ChromaDB vector database.
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Josep Ferrer

January 13, 2026

Fine-Tuning T5Gemma-2

A hands-on, end-to-end guide to fine-tuning T5Gemma-2 (270M-270M) for LaTeX OCR, showing how to correctly train and run inference with a multimodal encoder–decoder model using a small dataset.
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Abid Ali Awan

January 13, 2026