The Graduate Certificate in Data Science at the University of Michigan is tailored for professionals and students from diverse disciplines seeking foundational and practical knowledge in data analytics. The program emphasizes real-world problem solving using statistical methods, programming, data visualization, and machine learning, preparing learners for data-driven roles across industries.
Predicting Traffic Congestion Using Real-Time Sensor Data
Machine Learning Models for Credit Card Fraud Detection
Visual Analytics Dashboard for COVID-19 Case Monitoring
Predictive Modeling of Student Dropout Rates in Online Courses
Clustering Techniques for Customer Segmentation in E-commerce
Natural Language Processing to Analyze Product Reviews
Time Series Forecasting of Renewable Energy Generation
Using Deep Learning to Detect Pneumonia in Chest X-Rays
Analyzing Social Media Sentiment on Climate Change
Recommendation Systems for Personalized Content Delivery
Feature Engineering for Loan Default Prediction
Big Data Analytics for Smart City Resource Management
Modeling Public Health Trends Using Open Government Datasets
Anomaly Detection in Network Security Logs
Geospatial Data Analysis for Urban Development Planning
Real-Time Event Detection in Social Media Streams
Interactive Data Visualization for Business Intelligence
Bias Detection in AI Recruitment Tools Using Fairness Metrics
Predicting Movie Box Office Success Using Social Data
Evaluation of Classification Algorithms in Medical Diagnosis
With interdisciplinary applications across healthcare, business, urban planning, and research, this certificate equips learners with in-demand data skills and practical project experience.
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