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School of Engineering & Technology
Data Science & Analytics
Turn raw data into actionable insight. Statistics, visualization, big data, and predictive modeling.
5 courses15 Total CreditsFree
Courses in This Program
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Course 1introductory
Introduction to Data Science
The data science workflow — collection, cleaning, exploration, and communication.
4 weeks3 credits5 chapters
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Course 2intermediate
Statistical Methods
Statistical foundation — hypothesis testing, regression, Bayesian thinking, experimental design.
Prerequisites::Introduction to Data Science
6 weeks3 credits5 chapters
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Course 3advanced
Data Visualization & Communication
Create compelling data stories. Visualization design, dashboards, and presentations.
Prerequisites::Statistical Methods
8 weeks3 credits5 chapters
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Course 4advanced
Big Data Engineering
Process massive datasets with distributed frameworks — Spark, Hadoop, and data pipelines.
Prerequisites::Statistical Methods
8 weeks3 credits5 chapters
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Course 5graduate
Predictive Analytics
Advanced modeling for forecasting — time series, survival analysis, and recommendation systems.
Prerequisites::Data Visualization & Communication
10 weeks3 credits5 chapters
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Start This Program
Free. No application required. Start learning at your own pace.
Start with Introduction to Data Science