Yale’s Statistics and Data Science B.A. program emphasizes statistical thinking, machine learning, and communication of uncertainty. These project topics promote hands-on learning in real-world applications across sectors.
Predicting Student Performance Using Machine Learning Algorithms
Analyzing Social Media Trends Using Sentiment Analysis
Building a Recommender System for Online Retail
Time Series Forecasting for Energy Consumption
Bayesian Inference in Medical Diagnosis Models
Modeling Credit Risk Using Logistic Regression
Statistical Analysis of Climate Change Patterns
Visualizing COVID-19 Vaccination Progress Across Countries
Customer Segmentation with Clustering Techniques
Detecting Fraudulent Transactions with Anomaly Detection
Comparing Supervised Learning Algorithms for Image Classification
Data Ethics: Bias in Predictive Algorithms
Evaluating the Impact of Economic Policies Using Regression
Big Data Challenges in Public Health Research
Improving Voter Turnout Prediction with Ensemble Methods
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