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Business Intelligence


Business intelligence (BI) is a branch of data analytics that supports the process of converting raw data into actionable business and operational insight for improved decision-making and enhanced organizational efficiencies. The field encompasses techniques such as query generation, data mining, data modeling and analysis, creation of dashboards and visualization charts, and production of analytics reports.

This course introduces participants to the field of Business Intelligence (BI), with emphasis on descriptive analytics. It employs applied training techniques with participants forming data analytics teams to solve business problems and identify solutions, practically applying learned concepts to real-world cases.

Key areas of BI covered include; data collection, data preprocessing, data storage, data queries, basic data mining, descriptive data analytics, data visualization, and results presentation. Program participants will also receive training in the use of products such as Excel, SQL, Microsoft Power BI, and Tableau to collect, extract, mine, analyze, visualize and present business data.

Upon successful completion of the program, participants will be able to:

  • Demonstrate an understanding of the fundamentals of BI, potential applications of BI and its role in the field of data analytics
  • Practice data collection, data mining and data loading by using applicable advanced features of Excel
  • Apply the basics of SQL, its applicable data commands, basics of database queries, data aggregation, sorting, grouping, and summarization
  • Apply the fundamentals of data mining, applicable techniques, functionalities, algorithms, and major challenges in the practice of data mining and descriptive data analytics
  • Practice presentation and visualization techniques and storytelling using Tableau
  • Define data relevancy, pattern recognition, trend analysis and relationships among data elements and clusters
  • Apply learning to real-world business projects
  • Employ data analytics to gain insight about business operations, solve problems and create solutions for corporate and organizational issues
  • Produce evidence-based, tactical and strategic decisions toward organizational viability and competitiveness

Course Content


**DUE TO SOCIAL DISTANCING RECOMMENDATIONS, THIS COURSE WILL NOW MEET ONLINE*
This course is intended and is best suited for the following prospective participants:

  • Individuals with an interest in data analytic careers
  • College graduates with a bachelor’s or associate degree, or equivalent practical experience in business, science, engineering, software programming, and data processing
  • Employees of companies with an interest in applying data analytics in their businesses
  • Business and corporate members with an interest in becoming knowledgeable about the selection, implementation and competent use of data analytic solutions


In order to reserve a seat in our September 26th program please pay a refundable $500. Please note: the remaining balance will be due in full by September 16th, 2020.
7 hours of pre-program preparation is tentatively scheduled to begin September 19th. Details will be sent prior to the start date.

Payment in full allows students the opportunity to request full access to all course materials, including video recordings up to 4 weeks prior to the start of class. When this option is utilized, the date of full payment will serve as the student’s ‘program start date’ for withrawal and refund purposes.

For withdrawal and refund conditions, please visit ece.emory.edu/policies.

Please call Enrollment Services at 404.727.6000 with any questions.