Data Science and Analytics (DSA)
DSA 201 FOUNDATIONS OF DATA-ORIENTED COMPUTING WITH PYTHON
4, 4/0; MQ14
Prerequisites: Instructor permission. Introduction to data oriented programming and algorithmic problem solving using Python. Python data structures. Data visualization. Introduction to object oriented programming. Applications to data processing, image manipulation and other. The class is hands-on and project oriented. Offered every Fall.
DSA 301 DATA SCIENCE AND ANALYTICS WITH SPREADSHEETS, DBS AND PYTHON
Prerequisites: MAT 241 or instructor permission. Introduction to tools and techniques needed to collect, clean, analyze and present data that can be used in any academic discipline. Data scraping from the internet. Visualization of data using appropriate software, spreadsheets, databases, Python. Offered every spring