Loyola University Chicago

Quinlan School of Business

Online Certificate in Business Data Analytics

Online. 10 Weeks. At Your Convenience.

Get the skills you need to interpret data and make data-driven business decisions in our accelerated, online Business Data Analytics certificate program. Complete the program in just 10 weeks from anywhere in the world, beginning in May 2020.

Our certificate will equip you to be a strategic, data-driven leader, while also guiding you through the software, languages, and methodologies for modeling and analyzing data.
 
Upon completion of the certificate program, you will be able to leverage your knowledge to identify new business opportunities, assess a current business situation, formulate strategic recommendations, and help your company gain a competitive advantage through data analysis. You’ll also be prepared to manage teams of developers, as you will be exposed to languages and tools, including R, SQL, Tableau, and data modeling software.

About the Certificate Program

The accelerated, online Certificate in Business Data Analytics is a graduate-level, five-course certificate that prepares professionals to derive value from data and understand the business implications. It provides an essential foundation for business professionals who need to acquire skills and credentials in business analytics.

Successful certificate program students come from a variety of backgrounds and undergraduate degrees.

The certificate requires completion of five 2-week courses in 10 consecutive weeks.

Courses

Business analytics is the practice of using methodically collected data to drive decisions about business and in business applications. The goal of the course is to introduce students to the current approaches, tools, and techniques involved in this practice. Because many topics and concepts in business analytics are best learned through hands-on work, time will be spent obtaining, processing, analyzing and visualizing data that pertain to different business cases. Students will use R, arguably the most popular analytical software used by data scientists. During this course, students will learn to use R, as well as gain and help improve business insight through data-driven analytics.

Outcomes: Explain the key factors differentiating business intelligence from business analytics. Frame a problem in a business analytics context to drive insightful decisions and gain the competitive edge.

This course uses database systems as the focus for studying concepts of data modeling and data manipulation. Procedures for creating, managing, sorting, and processing data are discussed. Concepts of relational database methods are covered as well as the issues that arise in managing information in a database and using it to support business processes.

Outcome: Understanding the development and use of business database systems.

Data Mining involves the search for patterns in large quantities of data. The fundamental techniques used in data mining include, but are not limited to, clustering, decision trees, neural networks, and association analysis. 
Outcome:  The student will be able to build models using an industry-standard package and interpret the results.

The components and design issues related to data warehouses and business intelligence techniques for extracting meaningful information from data warehouses are emphasized. Oracle tools will be used to demonstrate design, implementation, and utilization issues. 
Outcome: students will learn how data warehouses are used to help managers successfully gather, analyze, understand and act on information stored in data warehouses.

The amount of data that our world generates is growing at a torrid pace. Sifting through & making sense of these humongous mountains of data is crucial to ensuring business growth, success and to making scientific discoveries & advancements. Data visualization plays an important role in this process.

Outcome: Students will be able to process & visualize large amounts of data in order to enable efficient & effective analysis using industry standard software.

Program Structure 

Courses are asynchronous, which allows you to take the five 2-week courses from any location in the world and participate at any time of the day. You'll complete the program in 10 consecutive weeks beginning in May 2020.

Can't commit to an accelerated 10-week program? Consider our regular Certificate in Business Data Analytics →

All courses completed in the certificate program can be applied toward a Quinlan MBA degree or M.S. in Information Systems and Analytics.

Application Requirements

  • A Completed Application Form →
    Select “Business Data Analytics Online Certificate” on the general application form.
  • Official Transcripts
  • Two Letters of Recommendation (optional)
  • A Statement of Purpose
  • Professional Resume

Application Deadlines

This accelerated online certificate begins in May 2020.

QuarterApplication DeadlineQuarter Starts
Summer April 1 Late May

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