Johns Hopkins University 3 credits Information Systems Engineering
Businesses and organizations are flooded with a variety of data from a vast number of sources. Data analysis and use of data analytics in data-driven decision-making processes has become the go-to strategy for business success and for gaining sustainable competitive advantage.This course will introduce students to the technologies that are generally and collectively called “analytics” used to support effective decision-making processes for business. Course topics will cover the latest trends in analytics, including scalable AI, machine learning, IoT, and smart/robo-collaborative assisting systems, composable data and analytics, data fabric, small data models, and XOps. This course will enable students to apply deep knowledge of predictive, descriptive analytics, big data, and web analytics to the development of the best business solutions for their organizations. They will also know which kinds of analytics to apply to specific decision contexts.
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.