data cleaning in sql
In this project we take raw housing data and transform it in SQL Server to make it more usable for analysis.

Data Analyst Skilled in SQL, Power BI, Excel and Python
In this project we take raw housing data and transform it in SQL Server to make it more usable for analysis.
During the Maji Ndogo project in ALX, I applied advanced analytical techniques to uncover critical insights into the water crisis. By leveraging newly acquired SQL skills, I was able to identify hidden patterns and trends, shedding light on issues that had previously gone unnoticed.
This Power BI visualization reveals key insights into the water crisis, highlighting previously hidden patterns and trends. It address critical water challenges in Maji Ndogo, Kenya.
During the COVID-19 pandemic, many companies faced significant challenges, leading to widespread layoffs. This project focuses on cleaning layoff data from that period. The SQL code presented here is designed to clean and structure the data, ensuring accuracy for further analysis.
This section presents an exploratory data analysis of layoffs during the COVID-19 pandemic. The SQL code dives into patterns and trends within the data, offering insights into how layoffs impacted different industries and companies.
This is majorly a data cleaning and analysis in MySQL. during this project, i learnt more about cleaning data and analysis in MySQL. i also learnt how to convert dates, how to use subqueries and filters on data to get correct outputs.
This visualization showcases interactive dashboards and visualization that analyze HR data, offering insights into employee metrics, performance, and workforce trends.
6 Oladapo Olawoye Street, ibeshe Titun,
Ikorodu Lagos