Binghamton University 4 credits MKTG
Over the past few years, data available to marketing practitioners has exploded in both quantity and quality. As Eric Schmidt put it, โEvery two days, we now create as much data as we did from the dawn of civilization up until 2003.โ This stimulates the need for marketing practitioners to collect the data and put it in good use. Data mining stands at the intersection of the fields of statistics and machine learning and covers a wide range of techniques to detect actionable patterns in data and aid decision making. In this course, we will cover some of the methodologies used and learn how to apply data mining principles to the dissection of complex data sets and to drive managerially meaningful decisions. Prerequisite MKTG 311. 4 credits.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs โ 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.