Chicago Data Analysis
May 2021
SQL Statements: Data Definition Language (DDL) | Data Manipulation Language (DML) Tech used: IBM DB2 DBaas and Jupyter Lab I analyzed census, crime, and school data for Chicago city to identify causes that impact the enrollment, safety, health, environment ratings of schools. This Analysis is the final Capstone Project of the Databases and SQL course from my IBM Data Science Certificate. Check out the certificate right here: IBM Certificate. The project was performed with the help of: Observations and Conclusion:
  • I used SQL Magic commands to perform the analysis from Jupyter Lab.
  • I applied my learning to a Real Word Dataset.
  • I found relevant insights such as the most criminal and painful Community Areas of the city (Austin and Riverdale).