DeVry University 3 credits Business Intelligence and Analytics Management
This course provides an overview of methods used by organizations to create, collect, and use data. Analytical methods and tools that transform data into information for improved business decision-making are also covered. Methods for basic statistical analysis, linear regression, optimization, and data visualization are introduced using spreadsheets and other analytics software. Prerequisites: Complete 1 of the following: Complete at least 1 of the following: CEIS110 Introduction to Programming; MATH221 Statistics for Decision-Making; MATH226 Statistics for Decision-Making OR take both of the below courses:; BIS155 Data Analysis with Spreadsheets with Lab; BUSN115 Introduction to Business and Technology.
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.