Pennsylvania State University 3 credits DA
The majority of non-numeric data is unstructured (e.g., blogs, emails, forums). DA 402 is an overview of data analytics techniques for non-numeric data (e.g., text, videos or images). The methodological reasons for a qualitative rather than a quantitative approach, and the underlying challenges with this type of data depend on the hypothesis or research question. Often, research questions and organizational problems can best be answered by qualitative, non-numeric data. Students in data analytics will be exposed to situations and conditions where these practical analyses would be applicable rather than students in data sciences who create or improve the algorithm for analysis. This course will enable students to pursue further study in these types of practical applications. Students need a strong background in statistics before scheduling this course.
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.