dosmani6 / repository

DS2500

Provides intermediate to advanced python programming for data science with the aim of preparing students for more advanced courses in data science and to enable practical contributions to software development and data science projects in a commercial setting. Covers object-oriented design patterns using Python, including encapsulation, composition, and inheritance. Advanced programming skills will cover software architecture, recursion, profiling, unit testing and debugging, lineage and data provenance, using advanced integrated development environments, and software control systems. Through case studies, the course will survey key concepts in data science with an emphasis on machine-learning (classification, clustering, deep learning), data visualization, and natural language processing. Additional assigned readings will survey topics in ethics, model bias, and data privacy pertinent to today's big data world.