DA3450 Open Source Data Analysis

In this course, students will learn to use "Big Data" to answer "Big Questions." The course focuses on the use of open source data and open source software, and walks students through writing computer commands which will allow them to automate the formatting, merging, and analysis of large datasets, with the goal of allowing students to tap into the global explosion of data resources which are increasingly available through online media, using freely available tools that can be employed in diverse environments that may lack access to expensive proprietary software.

Prerequisite

DA3410 or Consent of Instructor

Lecture Hours

Lab Hours

Course Learning Outcomes

Students will gain an understanding of the diversity of open-source data and software tools available in the modern information ecosystem.
Students will learn to leverage large-scale data sources by converting them into actionable information and knowledge, which can be used as decision-making tools for strategic and operational planning and assessment.
Students will learn to accurately estimate and report evidence derived from data-driven statistical models.
Students will learn to think critically about statistical claims, through an awareness of both the strengths and weaknesses of contemporary modeling approaches.
Students will develop the capabilities to present findings from quantitative analysis through multiple forms of communication, including verbal, written, and visual, in order to effectively communicate their results to broad audiences.