Pennsylvania State University 3 credits DAAN
This course covers practical knowledge and skills in supervised machine learning and data mining, emphasizing real-world business applications. Students will learn how to acquire, explore, and preprocess data, apply supervised and unsupervised learning techniques, and understand the importance of fairness and explainability in AI. Utilizing low-code/no-code tools, the course fosters hands-on experience through group projects, enabling students to make data-driven decisions and present actionable insights effectively with applications from accounting, finance, marketing, innovation, creative work and entrepreneurship.
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.