Project overview
In this project, you’ll take on the role of a data scientist to analyze relationships between student demographics and SAT scores at New York City public schools. Using Python, pandas, and Matplotlib, you’ll examine correlations between factors like race, gender, and socioeconomic status to determine if the SAT is a fair assessment.
This project provides hands-on experience in data analysis and visualization, allowing you to apply your skills to a real-world dataset. You’ll clean and combine multiple datasets, create informative plots, and draw meaningful conclusions. If you’re new to Jupyter Notebook, consider taking our Jupyter Notebook Guided Project first.
Objective: Use data analysis to uncover insights into SAT score demographic trends and evaluate the fairness of the SAT as a college admissions test.
Key skill required
To complete this project, it's recommended to build these foundational skills in Python
- Cleaning and preparing data using the pandas library
- Combining datasets using joins in pandas
- Computing summary statistics and correlations to analyze data
- Visualizing data using matplotlib to generate plots
Projects steps
Step 1: Introduction
Step 2: Exploring Safety and SAT Scores
Step 3: Exploring Race and SAT Scores
Step 4: Exploring Gender and SAT Scores
Step 5: Exploring AP Scores vs. SAT Scores
Step 6: Next Steps
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