CSCI 127 - Joy and Beauty of Data

Credit(s): 4

Prerequisite(s): appropriate math placement test score of M94 or better, a grade of “C” or better in M 65~, or instructor consent.
This course provides a gentle introduction to the exciting world of big data and data science. Students expand their ability to solve problems with Python by learning to deploy lists, files, dictionaries and object-oriented programming. Data science libraries are introduced that enable data to be manipulated and displayed. (Fall and Spring Semesters)

Course Learning Outcomes: Upon completion of the course, students will be able to

Explain at a high level what data science is and why it is important.
Utilize arrays, lists, files and dictionaries to solve problems in Python.
Utilize foundational programming techniques of iteration, decision trees, functions, and IO.
Utilize fundamental object oriented principles such as classes, objects, methods and inheritance to solve problems in Python.
Utilize data science libraries to solve data science problems in Python.