The Bachelor of Science in Statistics and Data Science at the University of Texas at Austin provides students with the tools to analyze and interpret complex data, build predictive models, and develop data-driven solutions. This program prepares students for careers in data analysis, machine learning, and statistical modeling.
Building a Predictive Model for Housing Prices Using Machine Learning
Analyzing Trends in Social Media Data for Sentiment Analysis
Data Visualization of Climate Change Data Using Python
Predicting Customer Churn Using Logistic Regression
Developing a Recommender System for Movie Suggestions
Building a Time Series Model to Forecast Stock Prices
Creating an Interactive Dashboard for Real-Time Traffic Analysis
Exploring the Impact of Social Determinants on Public Health Outcomes
Analyzing Twitter Data to Predict Election Outcomes
Designing a Machine Learning Model to Detect Credit Card Fraud
Predicting the Spread of Infectious Diseases Using Statistical Models
Creating a Web App for Data Visualization of COVID-19 Data
Exploring Deep Learning Techniques for Image Classification
Building a Chatbot Using Natural Language Processing (NLP)
Developing an Algorithm for Personalized Marketing Campaigns
Predicting Consumer Behavior Using Logistic Regression Models
Analyzing the Relationship Between Economic Indicators and Stock Market Trends
Modeling Energy Consumption for Smart Grid Optimization
Exploring Neural Networks for Handwriting Recognition
Designing a Sentiment Analysis Model for Customer Reviews
Predicting Student Performance Using Data Science Techniques
Analyzing Customer Preferences Using Clustering Algorithms
Exploring Decision Trees for Predictive Analytics in Retail
Building an AI-Powered Image Recognition System
Data-Driven Insights for Improving Healthcare Systems and Outcomes
Unlock the power of data to drive decisions, optimize processes, and solve real-world problems with UT Austin’s Data Science program.
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