This repository serves as a comprehensive career resource hub for individuals aspiring to enter or advance in data science, machine learning, big data, and business analytics fields. It aggregates information on job platforms, company reviews, online courses, competitions, essential tools, and sought-after skills, aiming to guide prospective analytical employees through their job search.

How It Works

The repository functions as a curated directory, consolidating links and information from various sources relevant to data science careers. It categorizes resources such as job boards (e.g., Triplebyte, Kaggle), review sites (e.g., Glassdoor, Levels.fyi), educational platforms (e.g., Coursera, Fast.ai), and technical skills (e.g., Python, SQL, TensorFlow). This structured approach provides a centralized, easily navigable reference for career development.

Quick Start & Requirements

This is a static resource repository; no installation or execution is required. All information is accessible by browsing the README file.

Highlighted Details

• Extensive lists of respected online courses, competitions, packages, skill tags, bootcamps, podcasts, and industry companies.
• Detailed breakdowns of popular data science job roles, required skills, and industry sectors.
• Comprehensive guides for technical preparation, interview questions (Python, SQL, ML), and resume building.
• Curated lists of data science newsletters, project inspiration sources, and academic programs.

Maintenance & Community

The project is sponsored by Firmai.org, which focuses on aggregating open-source AI-BI applications and promoting open data access. The README mentions a subreddit, r/datascienceproject, for sharing data science projects.

Licensing & Compatibility

The repository itself does not appear to have a specific license mentioned in the README. It is a collection of links and information, so compatibility is generally high with any platform that can access web content.

Limitations & Caveats

The information presented is a snapshot and may not always reflect the most current job market trends, course offerings, or company reviews. Some sections, like "Thought Leaders," explicitly state a lack of comprehensive coverage.