This repository serves as a comprehensive resource for the Data Science and Big Data Analytics course, featuring notes, code samples, handouts, and previous year question papers. It supports course outcomes such as analyzing challenges in data science, applying statistics, implementing big data analytics with Python, and utilizing visualization tools. Additionally, it covers the design of big databases using the Hadoop ecosystem, ensuring a thorough understanding of the technologies and strategies essential for effective data analytics.
Updated 2025-06-11 14:45:54 +05:30