ECON 22P: Intro Python Data Sci
University of California, Santa Cruz
Introduction to programming in Python with emphasis on commands and workflow useful for data science, especially in economics and other social sciences. Data science applications are interwoven with lessons about basic syntax. Topics of study include variables and operations, containers, Pandas dataframes, conditional statements and conditional slicing of dataframes, loops, advanced string processing, file input/output, functions, and data visualization. This course places less emphasis on object-oriented programming and more emphasis on practical data science applications.
Average GPA: 2.68
Grade distribution records: 87 students across 2 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 12 | 13.8% |
| A | 2 | 2.3% |
| A- | 7 | 8.0% |
| B+ | 6 | 6.9% |
| B | 11 | 12.6% |
| B- | 5 | 5.7% |
| C+ | 4 | 4.6% |
| C | 7 | 8.0% |
| C- | 5 | 5.7% |
| D | 2 | 2.3% |
| F | 7 | 8.0% |
| P | 10 | 11.5% |
| NP | 5 | 5.7% |
| W | 4 | 4.6% |
Based on 87 student grade records across 2 terms and 2 professors.
Instructors
- Michael Leung 44 students, Average GPA 2.93
- Ajay Z Shenoy 43 students, Average GPA 2.41