ENBC311

Python for Data Analysis

Prerequisite: Minimum grade of C- in MATH241; and minimum grade of C- in BIOE241 or approved prior study in Matlab. Restriction: Permission of ENGR-Fischell Department of Bioengineering department; and must be in the Biocomputational Engineering major. Credit only granted for: BIOE489A, BIOE442 or ENBC311. Provides an introduction to structured programming, computational methods, and data analysis techniques with the goal of building a foundation allowing students to confidently address problems in research and industry. Fundamentals of programming, algorithms, and simulation are covered from a general computer science perspective, while the applied data analysis and visualization portion makes use of the Python SciPy stack.

Fall 2025

0 reviews
Average rating: N/A

Past Semesters

0 reviews
Average rating: N/A

0 reviews
Average rating: N/A

0 reviews
Average rating: N/A

0 reviews
Average rating: N/A

0 reviews
Average rating: N/A

0 reviews
Average rating: N/A

0 reviews
Average rating: N/A

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.74 between 11 students*

ENBC311 Grade Distribution+-0510152025303540455055606570758085% of studentsABCDFWother
A-: 36.36%
A: 27.27%
A+: 18.18%
B: 9.09%
B+: 9.09%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.