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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
SQL projects using the different functions from basic to advance
Selected subset of Win (user32, shell32) API function calls for Window, Taskbar, etc handling, conveniently organized and wrapped in a C# DLL
Cross-platform focus tracker for Linux (X11), macOS and Windows
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
120 years of Olympic history: athletes and results from basic biodata on athletes and medal results from Athens 1896 to Rio 2016.
This repository contains the code and examples for my article on Medium, which provides an introduction to Window Functions in Apache Spark.
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.
Real estate market analysis in São Paulo using SQL and data from Zap Imóveis.
This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cummulative, performance, data segmentation, part-to-whole analysis.
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.
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.
Unlock the power of SQL’s Common Table Expressions (CTEs) to transform data analysis capabilities! In this project, I demonstrate how to leverage CTEs to answer complex business questions with clarity and efficiency. Whether you’re dealing with hierarchical data, simplifying complex queries, or improving readability, CTEs are a game-changer.
A report uses customers transactions data to gain insights into customer behavior and optimize sales, revenue, customer retention, and churn
Quantify the impact of large scale supply changes on the sales perfomance of a business
SQL-запросы в Google Colab с помощью SQLite и PostgreSQL
📊 End-to-end SQL data analysis project on Bank Transactions & Fraud Detection using PostgreSQL. 🛠️ SQL | PostgreSQL | Data Cleaning | Joins | Aggregations | CTEs | Window Functions | Fraud Detection | Business Insights.
📊 End-to-end SQL data analysis project on Indian Election dataset | PostgreSQL | Advanced SQL | Data Modeling | Insights
Creating Report for decision making in Film Rental Store
Star-schema data mart on PostgreSQL built from Goodbooks CSVs. Demonstrates advanced SQL (window functions, JSONB, GROUPING SETS), indexes (covering/partial/GIN/pg_trgm), materialized views, incremental MERGE loads, pgTAP tests, and GitHub Actions CI. Includes Docker quickstart and SSH-tunnel instructions
I have started a new playlist called MySQL on my YouTube channel. Watch the videos to learn SQL from scratch.
This repository is part of my journey to learn **PySpark**, the Python API for Apache Spark. I explored the fundamentals of distributed data processing using Spark and practiced with real-world data transformation and querying use cases.
Advanced SQL project analyzing e-commerce sales using joins, CTEs, and window functions. Includes sample data (CSV) and queries with business insights.
A hands on SQL Data Warehouse project with mySQL, including ETL processes, data modelling and analytics.
This repository showcases an SQL data analytics project demonstrating Exploratory Data Analysis (EDA) and Advanced Analytics (CTEs, Window Functions, Subqueries, Views) in PostgreSQL.
End-to-end SQL Data Warehouse project implementing the Medallion Architecture (Bronze–Silver–Gold) using T-SQL. Covers data ingestion, cleansing, transformation, and modeling.
This project analyzes pricing patterns, brand distribution, and discount dynamics in the online grocery & FMCG sector using a real-world BigBasket dataset of 28,000+ products. It leverages SQL (queries, window functions) and Python (analysis, visualization) to uncover actionable business insights for decision-making.
This repository contains solutions to exercises from "SQL Beginner to Advanced For Data Professionals" course by CodeBasics.
Digital FIR and IIR filters with intelligible Python codes using SciPy.