BAN 350 - Data Wrangling and Data Pipeline

Units: 3
This course teaches how to streamline the data workflow with data pipelines. The workflow starts with data gathering and extraction, and ends with data transformation, which clean, reduce, expand, or generate feature representations suitable for downstream machine learning modeling.

Prerequisites: BAN 310
Possible Instructional Methods: On-ground, or Hybrid, or Online-Asynchronous, or Online-Synchronous.
Grading: A-F grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:

identify appropriate quantitative tools and methods to solve business problems;
identify appropriate technology tools to solve business problems.
Perform a multitude of data operations in Python library.
Utilize software and write computer scripts to scrape, parse, and read web data as well as access data using web Application Program Interfaces (APIs)
Perform Data Pre-processing and Wrangling with Python.
Apply Data Visualization Concepts for practical data analysis and interpretation.