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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.
Excelsior University 3 credits Computer Science
This course combines the power of predictive analytics with specialized techniques designed for analyzing time-dependent data. Students learn to uncover patterns, trends, and variations within time series datasets, equipping them with the skills to make accurate forecasts. The course offers hands-on experience in applying an array of statistical and machine learning models to predict future outcomes for real-world case studies. The course integrates a forward-looking perspective on the future of Predictive Analytics, and the evolving landscape of artificial intelligence (AI) in the field. Through a blend of theoretical insights and practical applications, students navigate the intersection of traditional predictive analytics and the transformative impact of AI on forecasting methodologies.
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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.