MATH 167PS: Python and Sql
San Jose State University
Introduction to Python: data types, control flow, functions. Python for data science: manipulating arrays and data frames (Numpy and Pandas), data visualization (Matplotlib). Applications in Machine Learning (SciKitLearn). SQL basics: designing and accessing a relational database, performing database administration, and writing queries of intermediate complexity. Prerequisite(s): MATH 39, MATH 161A, and MATH 167R, all with a C- or better, or instructor consent. Allowed declared major: Mathematics, Statistics, Data Science, or Bioinformatics.
Average GPA: 3.02
Grade distribution records: 174 students across 7 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 9 | 5.2% |
| A | 30 | 17.2% |
| A- | 26 | 14.9% |
| B+ | 23 | 13.2% |
| B | 31 | 17.8% |
| B- | 12 | 6.9% |
| C+ | 11 | 6.3% |
| C | 13 | 7.5% |
| C- | 7 | 4.0% |
| D+ | 5 | 2.9% |
| D | 1 | 0.6% |
| D- | 2 | 1.1% |
| F | 4 | 2.3% |
Based on 174 student grade records across 7 terms and 3 professors.
Instructors
- Martina Bremer 110 students, Average GPA 3.01
- Tahir Bachar Issa 39 students, Average GPA 2.81
- Gregory C Labmeier 25 students, Average GPA 3.41