Best of Data AnalysisMarch 2024

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    Article
    Avatar of hnHacker News·2y

    teableio/teable: ✨ A Super fast, Real-time, Professional, Developer friendly, No code database

    Teable is a super fast, real-time, professional, developer-friendly, no-code database built on Postgres. It offers a simple, spreadsheet-like interface, supports various data views, and integrates with popular software tools. It aims to meet the evolving demands of modern software development.

  2. 2
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    Unlock the Power of Data Analytics with Free Google Services

    Learn data analytics using free Google services like Google Sheets, Google BigQuery, Google Colab, and Google Looker Studio for data visualization.

  3. 3
    Article
    Avatar of kdnuggetsKDnuggets·2y

    Collection of Guides on Mastering SQL, Python, Data Cleaning, Data Wrangling, and Exploratory Data Analysis

    Collection of guides for mastering SQL, Python, data cleaning, data wrangling, and exploratory data analysis. Start with SQL, then move on to Python and essential techniques like data cleaning. Gain expertise in data wrangling and master exploratory data analysis to uncover insights.

  4. 4
    Article
    Avatar of lobstersLobsters·2y

    DuckDB as the New jq

    DuckDB is a database project similar to SQLite that has native support for reading and parsing JSON data without extra dependencies. It provides a simpler and more familiar SQL syntax compared to the powerful but complex syntax of jq.

  5. 5
    Article
    Avatar of newstackThe New Stack·2y

    How to Write SQL Queries

    SQL is a declarative language used for querying, analyzing, and manipulating data. It uses different elements like SELECT, FROM, JOIN, WHERE, GROUP BY, HAVING, ORDER BY, OFFSET, and FETCH to retrieve and analyze data. SQL queries can be used to join tables, filter rows, aggregate data, and sort results. The GROUP BY clause is used to group rows with common values and the HAVING clause is used to filter the grouped rows based on a condition.

  6. 6
    Article
    Avatar of kdnuggetsKDnuggets·2y

    Getting Started With Go Programing For Data Science

    Learn how to perform data analysis, data visualization, and model training in GoLang, just like Python.

  7. 7
    Article
    Avatar of kdnuggetsKDnuggets·2y

    Master Data Science in a Year: The Ultimate Guide to Affordable, Self-Paced Learning

    Learn data science through affordable and self-paced online courses. Complete courses in data analytics, data science, machine learning, and deep learning. Build practical skills and create a portfolio of data projects.

  8. 8
    Article
    Avatar of kdnuggetsKDnuggets·2y

    Become a Business Intelligence Analyst in Less Than 6 Months

    Transition into business intelligence with top certifications from Google, IBM, Microsoft, and Tableau. Learn data modeling, data visualization, and analysis tools.

  9. 9
    Article
    Avatar of mlnewsMachine Learning News·2y

    Meet Pretzel: An AI Dev Startup with an Open-Source, Offline Browser-based Tool and AI-Native Alternative to Jupyter Notebooks

    Pretzel is an open-source alternative to Jupyter Notebooks that aims to simplify data exploration and analysis. It features a user-friendly graphical interface, real-time collaboration, and integration with popular AI tools. Pretzel promotes reproducibility and supports multiple languages like Python and SQL.