Best of Data Analysis — March 2025

  1. 1
    Video
    Avatar of TechWithTimTech With Tim·1y

    I Built a Web Scraping AI Agent From Scratch - It's Insane...

    Building powerful AI applications requires the integration of large language models (LLMs) with real-time data and useful tools. In this post, the author demonstrates the development of an AI travel agent using Python. This agent uses Bright Data APIs for real-time travel data, Google Flights, and hotel information to provide relevant and current recommendations. The post covers the project's architecture, details the steps of web scraping with automated browsers, and explains how the AI processes and combines data to generate personalized travel plans.

  2. 2
    Video
    Avatar of youtubeYouTube·1y

    8 Insane AI Agent Use Cases in N8N! (automate anything)

    Explore eight diverse AI agent use cases with n8n, ranging from data analysis to creating viral shorts. Learn how AI agents can automate tasks, enhance workflows, and provide insights across various domains. This post highlights practical examples and how the AI Foundations community can help you build and implement these agents efficiently.

  3. 3
    Article
    Avatar of duckdbDuckDB·1y

    The DuckDB Local UI

    DuckDB, in collaboration with MotherDuck, has introduced a built-in local UI available starting from DuckDB v1.2.1. This UI can be launched via terminal or a SQL command and offers features such as interactive notebooks, a column explorer, and detailed table summaries. It runs all queries locally, ensuring data privacy unless explicitly connected to MotherDuck. The UI is designed to be simple, fast, feature-rich, and fully open source.

  4. 4
    Article
    Avatar of tinybirdTinybird·1y

    Run Tinybird on your own infrastructure

    Tinybird Self-Managed is now available in beta, allowing users to deploy Tinybird's real-time data platform on their own AWS infrastructure, with support for GCP and Azure coming soon. This version provides greater control over data environments, integrating with private data sources and optimizing hardware resources as needed. Future updates will include expanded cloud support, automated upgrades, and advanced monitoring.

  5. 5
    Video
    Avatar of youtubeYouTube·1y

    SQL Data Warehouse from Scratch | Full Hands-On Data Engineering Project

    Learn how to build a modern SQL data warehouse from scratch, incorporating real-world practices used in companies like Mercedes-Benz. The project covers data architecture design, ETL processes, and data modeling basics. By the end, you'll have a professional portfolio project to showcase your skills.

  6. 6
    Article
    Avatar of lonely_programmerLonely Programmer·1y

    SQL Joins

  7. 7
    Article
    Avatar of freecodecampfreeCodeCamp·1y

    How to Extract YouTube Analytics Data and Analyze in Python

    Learn how to export data from YouTube Analytics into Python for advanced analysis and visualization. The guide covers tools like Jupyter Notebook, and libraries including Pandas, Seaborn, and Matplotlib. It also delves into correlation and audience retention analysis, providing insights for data-driven content creation decisions.

  8. 8
    Article
    Avatar of rpythonReal Python·1y

    Working With Python Polars – Real Python

    Polars is a high-performance DataFrame library for Python, designed for efficient data processing and handling large datasets. The video course introduces Polars' core features including DataFrames, expressions, contexts, reading data, grouping, aggregating, and utilizing the lazy API. The course includes 7 lessons, video subtitles, transcripts, downloadable resources, an accompanying text-based tutorial, a Q&A with Python experts, and a certificate of completion.

See all Data Analysis archives