Aspire     Data for Leaders and Decision-makers     Data for Leaders and Decision Makers Track 3: Raw Data To Insights

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The data mining process provides the opportunity for businesses to collect additional information and insights that are unavailable through other everyday operations of the company. Use this course to learn more about how utilizing data mining effectively may provide a competitive advantage and additional knowledge about the market and competitors.
Start by examining the essential concepts in data exploration using summary statistics and visuals and discover different data mining techniques. This course will also help you develop an understanding of the complete data mining process - data gathering, cleaning, exploration, and mining.
After completing this course, you'll be able to use data mining to answer in-depth questions about any business.

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Objectives

Data Mining and Decision Making: Data Mining for Answering Business Questions discover the key concepts covered in this course define and compare data science, data analytics and machine learning and recognize their use cases for business management compare the roles of machine learning engineers and data scientists list and define major types of machine learning used in business management describe the workings of a machine learning algorithm outline the association rules used in data mining and specify their roles describe how to perform anomaly detection during data mining describe how to perform customer segmentation during data mining describe how to perform data analysis for business by showing examples of Walmart and Market Basket describe how to use data mining for clinical decision support through a case study specify the importance of utilizing Predictive Analytics for Business summarize the key concepts covered in this course