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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.
DeVry University 4 credits Business Intelligence and Analytics Management
This course explores the intersection of predictive analytics and data visualization as a driver of effective business decisions. Students assess how to use past and current market and industry trends to predict company growth and performance. They also explore using data visualization techniques to interpret and communicate analytical findings. Topics include designing, creating and telling stories; understanding data types; and identifying possible applications of predictive analytics. Prerequisites: Complete all of the following: Complete at least 1 of the following: BIAM110 Introduction to Business Analytics; BIAM112 Introduction to AI and Business Analytics; Complete at least 1 of the following: BIAM300 Managerial Applications of Business Analytics; BIAM305 Managerial and Ethical Applications of AI and Analytics.
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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.