EN.685.648.82: Data Science
Johns Hopkins University – Whiting School of Engineering
EN.685.648.82 is a graduate-level course in the Johns Hopkins Engineering for Professionals program. It introduces data science as a scientific discipline grounded in hypothesis-driven research, statistical modeling, and reproducible computational practice.
This course is designed for professionals and graduate students who want to apply data science techniques to real-world systems, especially in research-intensive or product-oriented environments.
What This Course Covers
- How data scientists frame problems as hypotheses
- The research lifecycle of data collection, exploration, modeling, and inference
- Programming practices that support exploratory analysis and reproducibility
- The role of documentation, reporting, and storytelling in data work
- The organizational and professional context of data science teams
Who Should Take This Course
This course is intended for students with experience in Python and SQL, basic statistical inference, and a desire to deepen their understanding of how data science operates as a disciplined, applied research practice.
It is especially relevant for those working in scientific computing, analytics, ML engineering, or product data science roles.
Program Context
This course is part of the Data Science Master’s Program at the Johns Hopkins Whiting School of Engineering. The program blends applied statistics, scientific computing, and domain-oriented project work to prepare students for technical roles across sectors.
For enrollment details, visit the JHU EP Program Catalog or contact the course instructor.