MB 516 - Applied Analytics
This course focuses on the practical application of data analytics to solve real-world business problems. This course covers the entire data analytics process, including data collection, cleaning, analysis, interpretation, and presentation. Students explore how to apply analytical techniques to make data-driven decisions that enhance business operations and performance.
Through hands-on projects and case studies, students learn to use statistical and analytical tools to assess business data, identify trends, and provide actionable insights. Topics include regression analysis, predictive modeling, optimization, and machine learning applications in business contexts. This course prepares students to apply analytics in areas such as marketing, operations, finance, and strategy.
Prerequisites & Notes
MB 500 and MB 510
Assignment Overview
- Assignments: Varied Throughout the Term
- Interactivity: Discussion Boards
Course Learning Objectives
Upon completion of this course, you should be able to do the following:
- Apply data analytics methodologies to solve business challenges across various industries.
- Use data collection, cleaning, and processing techniques to prepare large and complex datasets for analysis.
- Implement advanced analytical techniques, including regression analysis, predictive modeling, and machine learning, to gain insights into business performance.
- Interpret and evaluate the results of data analyses to make informed decisions that drive business outcomes.
- Develop actionable recommendations based on data analysis to optimize business processes and strategies.
- Present analytical findings effectively, using clear and concise communication tailored to business stakeholders.
Credits: 3
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June 16, 2021COVID-19 Update: Upcoming vaccine deadlines; Testing phase-out