datascience and data-science-learning

About datascience

sreeharierk/datascience

This repository is a compilation of free resources for learning Data Science.

Structures foundational computer science and mathematics concepts—linear algebra, data structures (hash tables, binary trees), algorithm complexity analysis, and relational databases—alongside distributed systems principles like CAP theorem and sharding. Covers SQL join operations, tabular data formats (CSV), and analytical concepts including entropy and OLAP for business intelligence. Organizes material as a progressive learning roadmap with definitions, visual diagrams, and practical SQL examples across fundamentals needed before specialized machine learning.

About data-science-learning

5agado/data-science-learning

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.