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This space to showcase my journey in exploring various datasets, uncovering patterns, and extracting meaningful insights. Each project highlights different aspects of EDA, demonstrating techniques and tools that are essential for making sense of data.
This repository contains a collection of projects where I detect and solve problems by cleaning, exploring and analysing datasets. I have also extracted key insights and provided suitable solutions using MS Excel and PostgreSQL.
This repository contains Python and SQL-based assignments and projects focused on data analysis and manipulation. It includes Jupyter Notebooks demonstrating various techniques such as data cleaning, visualization, and integration of Python with SQL queries. It is designed as a practical resource for learning and practicing data analysis skills.