PavelGrigoryevDS/awesome-data-analysis

🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.

What it solves

This project provides a centralized, curated directory of over 500 resources to help data analysts and data scientists navigate the vast ecosystem of tools, libraries, and learning materials available today.

How it works

The project acts as a structured index, categorizing high-quality GitHub repositories, tutorials, roadmaps, and cheatsheets into logical sections. Users can browse the list directly on GitHub or via a dedicated web interface to find specific tools for tasks like data manipulation, visualization, machine learning, or database management.

Who it’s for

It is designed for anyone working in or studying data analysis, from beginners looking for a structured learning path to experienced professionals seeking specialized libraries or productivity tools to improve their workflow.

Highlights

  • Comprehensive Roadmaps: Step-by-step guides for mastering data science and analytics.
  • Tool Categorization: Organized lists for Python libraries, SQL databases, web scraping, and MLOps.
  • Skill Development: Curated datasets, interview preparation tips, and resume advice.
  • Quick References: A large collection of cheatsheets covering Git, Linux, statistics, and programming languages.
  • Community-Driven: Open for contributions and suggestions to keep the resources updated.

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