π Featured Projects SQL (Structured query Language)
(Group work task with 6-8 learners)
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With the use of AI to assist and help writing syntax and describe logical and syntax errors.
Data Cleaning
Data Cleaning
Counting the total number of cities in the U.S. serves as a baseline
metric for demographic analysis. It helps in:
β Understanding Urban Distribution - Identifying how cities are spread across states
πComparing Population Density - Analyzing how people are distributed in urban vs. rural areas
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Data Manipulation
Data Manipulation
Finding the country with the highest life expectancy is essential for public health research, policy-making, and resource allocation. It helps in:
β Benchmarking Healthcare Systems - Identifying best practices from top-performing countries.Β
πResource Allocation & Intervention Planning - Directing funding toward countries with lower life expectancy to improve healthcare
Data Analysis
Data Analysis
Comparing the populations of capital cities worldwide is essential for urban planning, economic analysis, and demographic research. It helps in:
β Economic & Infrastructure Planning - Helps policymakers allocate resources effectively based on population density and growth.
πComparing Living Standards & Growth Rates - Highly populated capitals may indicate economic hubs, while smaller capitals may suggest decentralized development.
My Demonstration on SQL Join Functions:
My Demonstration on SQL Join Functions:
Screen Recording 2025-03-04 at 08.31.41.movData Validation
Data Validation
Finding cities with high GDP per capita is crucial for economic analysis. investment decisions. and business strategy. This analysis helps on:
Β β Identifying Strong Economic Hubs - High GDP per capita suggests strong local economies, high productivity, and good business Environments.
πAttracting Investors & Businesses - Investors seek locations with high purchasing power, skilled labor, and economic stability.
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