University of Maryland Global Campus 3 credits DATA
A project-driven study of the processes and technology designed to enhance data-driven decision-making, integrating artificial intelligence with human decision-making. The goal is to apply creative methods to ask better questions, identify core problems, develop models, interpret results, and convey findings to various audiences. Topics include the use of commercial software to manage, analyze, and report on data and create actionable insights across a range of contexts, including societal, business, political, intelligence, healthcare, and media/entertainment. Discussions explore best practices for the long-term success of an analytics project in terms of project management and communications, with an emphasis on the analytics life cycle.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.