Data Science
The Data Science department combines statistics, computer science, and domain expertise. Students learn to collect, clean, analyze, and visualize data to make data-driven decisions and predictions.
Curriculum Overview
Explore the core courses offered in the Data Science department to build your foundational knowledge.
Introduction to Data Science
Get an overview of the data science pipeline, from data acquisition and cleaning to analysis and communication of results.
Key Topics:
- Data Wrangling
- Exploratory Data Analysis
- Statistical Inference
- Data Ethics
Machine Learning
Implement and analyze machine learning algorithms for classification, regression, clustering, and more.
Key Topics:
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Feature Engineering
Big Data Analytics
Work with large-scale datasets using distributed computing tools like Hadoop and Spark.
Key Topics:
- Hadoop Ecosystem
- Spark RDDs & DataFrames
- Stream Processing
- Cloud Data Platforms