sql-analysis
There are 19 repositories under sql-analysis topic.
SharifAthar/Netflix-Shows-and-Movies-SQL
Using a combination of Excel, SQL, and Tableau, I delved into the extensive datasets comprising over 82k rows of data from Netflix's shows and movies library. Through data simplification and analysis, I uncovered fascinating insights and intriguing facts about the content available on the platform.
drahulsingh/Fifa-Dataset-SQL-Data-Analysis
The Fifa-Dataset-SQL-Data-Analysis project uses SQL to explore FIFA player data, analyzing performance and attributes to extract meaningful insights on player statistics, trends, and patterns in football.
apoorvsat/Data-Camp-SQL-Projects-Solutions
Solutions to SQL Projects available on DataCamp.
sharanya-27/Pizza_Sales_Analysis_SQL
Utilizing a combination of Excel, SQL, and Power BI, I delved into an extensive dataset comprising over 50,000 entries of pizza sales data from our business. Through meticulous data simplification and analysis, I uncovered compelling insights and illuminating trends about sales performance and customer preferences within the pizza market.
abhishekalandikar/NETFLIX-DATA-ANALYSIS
Using SQL, and Tableau, I dove into Netflix's massive dataset of 82,000 rows containing shows and movies. I simplified and analyzed the data, revealing cool insights and interesting facts about what's available on the platform. These tools helped me find patterns, uncover trends, and share a clear picture of Netflix's diverse content world
ghuysmans/sqldep
SQL Dependency Extraction Tool
johorodnyk/food-dataset
Food sales data model
Ansalmathewphilip/Pizza-SalesAnalysis-SQL
Analysing pizza sales using sql and getting insights from the data
aadilsiddiquee/Netflix_Dataset_Analysis_SQL
This repository contains an analysis of Netflix's movies and TV shows dataset, offering insights into content distribution, quality, popularity, and more.
DataVisualizationExpert/Sales-Analysis-using-SQL-Power-BI
This repository contains the code and data for analyzing pizza sales using SQL Server as the data store and Power BI for data visualization and analysis. Explore sales trends, customer preferences, and more to gain insights into pizza sales using this repository.
deeksha-dhawan/Pizza-Outlet-Analysis-using-SQL
This project analyzes pizza sales data to gain insights into customer behavior and revenue patterns. Key analyses include customer insights, popular pizza types and sizes, revenue generation, and order trends. The findings help optimize menu offerings, staffing, and marketing strategies to boost overall business performance.
Rakshayani/Insights-Engineer
Rakshayani Thyagu's Portfolio
saramille/Global-COVID-Data-Analysis
This repository is a series of analyses on the global COVID data.
sharanya-27/HR-Analytics
This project utilized Tableau, Power BI, and SQL to provide comprehensive insights into essential HR metrics and trends. Through visualizations and data analysis techniques, the dashboard empowered HR professionals to discern patterns and make informed, data-driven decisions. Thorough QA/testing ensured the accuracy and reliability of the reports.
shwetaagrey/Banking-Data-Warehouse
Transforming banking operations with MySQL Bank Management System: robust schema, advanced queries, views, and security measures ensure efficiency and data integrity. Ready to revolutionize the industry.
vvickedvveb/pizza_rivalries
Data analysis of pizza chain's Domino's and Papa John with Python & pandas.
Yagnesh-R/NETLIX-SQL-ANALYSIS
Using a combination of Excel, SQL, and Tableau, I delved into the extensive datasets comprising over 82k rows of data from Netflix's shows and movies library. Through data simplification and analysis, I uncovered fascinating insights and intriguing facts about the content available on the platform.
ayoub-berdeddouch/Learn_SQL_Basics_4_DataScience_Spec
This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.