The course introduces students to programming, data management, and analysis with Python. Through a series of hands-on lab exercises, students learn to work with a variety of data using a high-level programming language and associated libraries to effectively manage and analyze their data. The emphasis is on data exploration and visualization and includes work with unstructured data generated by social media interactions. While there are no prerequisites, a basic familiarity with computing tools, an understanding of descriptive statistics, and a willingness to make mistakes and learn from them is expected.
||Gen Ed Area Dept:
NSM QAC, SBS QAC|
|Course Format: Laboratory Course||Grading Mode: Student Option|
||Fulfills a Major Requirement for: None
||Past Enrollment Probability: 90% or above
|SECTION 01 - 2nd Quarter|
|Special Attributes: CQC|
Reference Manuals, on-line materials and video tutorials.
|Examination and Assignments: |
Evaluation is based on several lab assignments and short projects.
|Instructor(s): Boyd Jr,William S. Times: .M..... 07:00PM-09:50PM; Location: ALLB204; |
|Total Enrollment Limit: 30||SR major: 0||JR major: 0|| || |
|Seats Available: 4||GRAD: 2||SR non-major: 14||JR non-major: 14||SO: 0||FR: 0|
|Web Resources: |