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  • Description: The dataset contains bike sales data of a bike shop. The project involved data cleaning and visualization. The project provided insights on bike sales overview by customer demographics - does customer commute distance impact bike purchases? Does customer salaries, educational background influence purchases? What region had the most sales.

  • Skills: Excel - Removing duplicates, Find and Replace to standardize column values, age bracket categorization using nested IF function, Pivot Table, Pivot Chart, Slicers

  • Tool: Microsoft Excel

  • Description: The dataset contains records of COVID-19 cases, deaths and vaccine records by country in 2020-2021. The project involved data loading, data cleaning and preprocessing, and EDA (exploratory data analysis). The EDA provided insights on infection and death rates.

  • Skills: SQL - Joins, CTE's, Temp Tables, Windows Functions, Aggregate Functions, Creating Views, Converting Data Types

  • Tool: Microsoft SQL Server

  • Description: The dataset contains a list of houses sold in Nashville between 2013 and 2019. The project involved data loading, data cleaning and preprocessing.

  • Skills: SQL - Removing duplicates with CTE, populating nulls, splitting columns, standardizing date formats.

  • Tool: Microsoft SQL Server

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