TeoMeWhy/teomerefs
Guia de referências técnicas para carreira em dados
This project provides a structured guide and curated resources for individuals aspiring to or currently working in data-related fields. It outlines a learning path from foundational programming and statistics to advanced machine learning and data engineering. The project takes in a user's current skill level and career goals in data, then provides a recommended study plan along with links to books, courses, blogs, and podcasts. It's ideal for students, self-learners, or professionals looking to transition into or upskill within data science, data analytics, or data engineering.
1,284 stars. No commits in the last 6 months.
Use this if you are a beginner or intermediate data professional seeking a clear roadmap and comprehensive list of learning materials to advance your career in data science, programming, or statistics.
Not ideal if you are an experienced data professional looking for highly specialized, niche, or cutting-edge research papers or advanced technical deep-dives beyond a structured learning path.
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Jul 21, 2025
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