Foundations of Programming, Data Analytics, and Machine Learning in Python
CDS BF 550
Graduate Prerequisites: 1. Intro programming course in any language or Intro to CS & Programming Using Python from EdX. 2. Ability to install fully functional Anaconda Python 3.7 (or later). 3. Bring laptop with #2 to class. - This course is for students trained in life sciences with minimal exposure to programming, statistics, and data analysis. The goal of the course is to develop both practical skills and theoretical foundations in handling data sets and developing simple computational solutions to problems arising in biomedical research. The course builds expertise in four areas: Programming, Mathematical Methods, Data Analytics, and Machine Learning.
FALL 2025 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
A1 | Dukovski | EPC 205 | F 12:20 pm-2:05 pm | Open to students enrolled in Bioinformatics Program only. |
A1 | Dukovski | SCI 117 | MW 12:20 pm-2:05 pm | Open to students enrolled in Bioinformatics Program only. |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.