data-analysis-sql

This is a list of complex SQL Queries I have practiced.

Used SQL queries to perform data analysis of the COVID-19 pandemic, exploring key trends, statistics, and insights sourced from Our World in Data.

my learnings and practice with SQL functions

Personal notes on PostgreSQL

Pizza Sales analytics with sql

In any company, measuring business performance is crucial for tracking, monitoring, and evaluating the success or failure of various business processes. Therefore, this project aims to analyze the business performance of an eCommerce company, considering several business metrics: customer growth, product quality, and payment types.

Publishing all latest matches, scores, goalscorers, assist makers and cards during the 2020-21 Premier League season. All SQL commands include, top scorers, which stadium has the most goals and many more.

Data Analysis project to analyze modern Olympic Games, including all the Games from Athens 1896 to Rio 2016 which helps to ask questions about how the Olympics have evolved over time, including questions about the participation and performance of women, different nations, and different sports and events.

Alt school Fall semester DE exam questions.

CTEs and window functions explained for PostgreSQL

Used Postgres SQL to analyze Parch and Posey Paper Company data

Greenplum related demos, user-defined-functions (UDFs)

A Tableau dashboard showing the best hotel prices for places with ratings of 7.0 or greater.

SQL-запросы в Google Colab с помощью SQLite и PostgreSQL

RSVP Movies is an Indian film production company which has produced many super-hit movies. They have usually released movies for the Indian audience but for their next project, they are planning to release a movie for the global audience in 2023.

Sakila Database Queries

📃 🏢 💹 Test task for WhoIsBlogger (data analyst position) aimed at building complex SQL queries (including window functions)

This project involves comprehensive e-commerce data analysis using SQLite and Elasticsearch. It starts by importing the Kaggle E-commerce dataset into SQLite for initial exploration and basic data cleaning. Then, Elasticsearch is employed for indexing and querying, enabling further analysis.