Rutgers University 3 credits Marketing
This course scans the technology landscape that supports Data Analytics. Data Storage platforms: Cloud, Data Warehouse Data Lake; Data Fabrics, including role of tools like Domino, role of NLP (Natural Language Processing) and NLG in Analytics, COTS (commercial off the shelf). Course can get into developing ‘intelligent systems’ that take data and predictive and prescriptive analytics. And get into new emerging areas like Blockchain and NFTs. Students don’t have to understand the technology but get a good understanding of the role, application and outcome Also, associated ethical issues, including data privacy, are discussed. Prerequisite: Marketing Management (22:630:550 (FT) / 22:630:586 (PT))
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs — 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.