Ohio State University’s BS in Data Analytics prepares students to address complex, data-driven problems across domains such as business, health, social science, and natural science. The program emphasizes quantitative reasoning, programming, statistical modeling, and ethical data handling. Students gain hands-on experience with data wrangling, machine learning, visualization, and predictive analytics using tools like Python, R, and SQL. With opportunities to specialize in areas like biomedical informatics or business analytics, students are equipped for careers as data scientists, analysts, or researchers in both industry and academia.
Predictive model for student performance using LMS data
Churn analysis for a subscription-based e-commerce company
Sentiment analysis of political tweets across US states
Dashboard visualizing COVID-19 trends by region
Crime data heatmap using open police department records
Sales forecasting using time series analysis and ARIMA
Analysis of user engagement metrics for mobile apps
Credit risk scoring using logistic regression
Exploration of global climate data and anomaly detection
Bias detection in job advertisement datasets
Data storytelling project on homelessness and housing trends
ML-powered recommendation engine for OSU library books
Healthcare cost prediction using linear and tree-based models
Interactive map showing college affordability by region
Survey data analysis for mental health trends among teens
NBA player performance clustering using k-means
Streaming data pipeline with Kafka and Spark
Optimization of university class scheduling with historical data
Capstone: building a business intelligence tool for a nonprofit
Ethical analysis of algorithmic bias in predictive policing
Extract meaning, make predictions, and drive decisions with OSU’s cutting-edge Data Analytics degree.
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