This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis.
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Updated
Mar 26, 2025 - TSQL
This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis.
#8WeekSQLChallenge, https://8weeksqlchallenge.com: Solutions for SQL Case Studies
💸 Bitcoin trading analysis
Проекты курса Инженер данных на платформе Yandex Practicum
Selected subset of Win (user32, shell32) API function calls for Window, Taskbar, etc handling, conveniently organized and wrapped in a C# DLL
SQL projects using the different functions from basic to advance
120 years of Olympic history: athletes and results from basic biodata on athletes and medal results from Athens 1896 to Rio 2016.
This project is a SQL database management system that handles multiple tables and performs various queries and operations on them. It involves four different tasks, each with its own set of tables and questions to solve. The tasks cover a range of scenarios, that allow to apply basic, intermediate and advance SQL queries to different datasets.
SQL Case Studies solved using Microsoft SQL Server and PostreSQL
This repository contains the code and examples for my article on Medium, which provides an introduction to Window Functions in Apache Spark.
Extending sqlite extension-functions to support median aggregate function as a window function. See https://www.sqlite.org/contrib. Forked from https://gitlab.com/liamh/extension-functions
Digital FIR and IIR filters with intelligible Python codes using SciPy.
I have started a new playlist called MySQL on my YouTube channel. Watch the videos to learn SQL from scratch.
BOM(Bill of Materials) Business Analyst Case Study Solution using Python, Pandas manipulation and Visualization Technique
This repository showcases a curated collection of my SQL projects, demonstrating skills from foundational concepts like SELECT, INSERT, and ALTER to advanced techniques such as CTEs and Window Functions.
Creating Report for decision making in Film Rental Store
Metrocar is the final project of MS's Data Analyst course. By identifying user drop-offs, implementing dynamic pricing, and recognizing key user segments for targeted marketing, this project demonstrates my ability to enhance revenue and improve user experience.
This module enables you summarize and identify the quality of the data using concepts such as aggregation and window functions.
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