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CSCI 6102 O1E — Data Analytics Using Python
CRN 14121
3.0 credit hours
Covers the topics from basic Python programming and to exploring many different types of data. The basic Python programming includes: loops, functions, lists, tuples, sets, dictionaries, classes and objects, inheritance, polymorphism, exception handling, I/O, and Python SQL. The topics on data analytics include: importing datasets, cleaning the data, data frame manipulation, summarizing the data, building machine learning regression models, and building data pipelines. Prerequisite(s): Permission of the department.
Course Details
| College | Engineering and Computing | Instructor | Li, Lixin |
|---|---|---|---|
| Location | Online Course | Seats Available |
12 open
|
| Instructional Method | Fully at a distance More than 95% of class sessions are delivered via distance education technology. This course may require students to travel to campus/designated instructional site to attend orientation, take an exam, or participate in other on-site experiences. | Waitlist Available | 5 of 5 remain |
| Schedule Type | Asynchronous Instruction Asynchronous Course: Instruction delivered online without specified meeting days, times, or location. | Material Cost | N/A |
| Semester | Spring 2026 | University Store | Online |
| Term | Minimester II | Course Fees | N/A |
Meeting Times
| Dates | Days | Time | Building | Room |
|---|---|---|---|---|
| March 09 - May 09, 2026 | - | - | - | - |