This course prepares participants to begin business intelligence projects with a hands-on approach to gathering and cleaning data. After taking this course, participants will be ready to create their own databases or oversee the creation of databases for their company.
The focus in this course is on “Big Data” datasets containing anywhere from tens of thousands to millions of observations. While the tools used are applicable for smaller datasets of a few hundred data points, the focus is on larger datasets. The course also helps participants with no experience in building datasets to start from scratch.
Finally, the course is excellent for users of Salesforce, Tableau, Oracle, IBM, SAP and other BI software packages since it helps viewers see through the “black box” to the underlying mechanics of Business Intelligence practices.
Review Questions: Business Intelligence – Collecting, Cleaning, and Merging Data
FINAL EXAM: Business Intelligence – Collecting, Cleaning, and Merging Data
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Michael is a finance professor at Fairfield University in Connecticut. He holds a PhD in finance from the University of Tennessee and his work has been quoted in the Wall Street Journal, CNN, Nasdaq dot com, Bloomberg, Reuters, and many other outlets. Michael is the President of Morning Investments, a consulting firm headquartered in Connecticut. He consults extensively with organizations ranging form Fortune 500 companies and government agencies to start-up businesses on matters related to finance and investments. Michael has served also as an expert witness on finance related matters in legal disputes, and is an arbitrator with the Financial Industry National Regulatory Authority (FINRA).