Data Analytics Certificate

BAIS 660 Statistical Programming
This course builds upon statistical knowledge using a statistical programming interface. In addition to learning and applying statistical functions, students will be introduced to data cleaning, manipulation, and harvesting using a variety of sources including structured tables, APIs and unstructured web scraping.

Students will be able to demonstrate a proficiency in the tools, techniques, processes, and success factors related to effective utilization of data within a business analytics strategy.

Upon completing the course, students will have/be able to:

• Apply statistical programming skills for common data and analytics functions
• Import, export, scrape, transform, visualize and model with structured and unstructured data
• Report and interpret the implications of analytics-derived conclusions in a public venue
• Critique the analytical output of colleagues and advise potential solutions
• Collaborate on data science tasks using an industry-leading workflow management platform
• Explain the role of data within the Job Task Analysis (JTA) methodology used in the INFORMS Certified Analytics Professional (CAP) and Associate Certified Analytics Professional (aCAP) credentials

BAIS 605 Applied Multivariate Analysis
In the last decade there has been an explosion in the quantity of data available to businesses. The amount of data available from marketing activity is growing exponentially; and rich social media data is available in a way that it never has been before. With this, there is a strong interest in extracting value or knowledge from this data. Students will learn how to assess the theoretical and practical problems that these data are supposed to examine. This applied course, focuses on key concepts in analysis of multivariate problems.

There is an emphasis on preparing data for analysis, analyzing said data, interpreting the results, and presenting the results to a target audience using the results to make decisions. The course is delivered from both a technological view and a marketing/management view.

Course Objectives:

• Strategic Thinking and Leadership
  • Ability to demonstrate the appropriate knowledge of data mining in strategic thinking
• Ethics and Social Responsibility
  • Ability to foster an ethical climate in their roles and responsibilities in business and society
•  Critical Thinking
  • Ability to clarify problems, generate and evaluate alternatives using appropriate analytical and quantitative techniques, and draw conclusions

BAIS 680 Introduction to Data Mining for Managers
Transactional data from point-of-sale scanners are now routinely available; data from direct marketing is growing exponentially; and e-commerce and web-browsing data is everywhere. Students will learn about data mining technologies and their application to data sets in an effort to support tactical and strategic business decisions. The focus will be learning when and how to use the technologies. Students will acquire hands-on experience using state-of-the-art software to develop data mining solutions to real-world business problems. The course will be delivered from both a technological view and a marketing/management view. Topics and related methods discussed in the class include: data mining processes and knowledge discovery, database support to data mining, associations, classifications and prediction, clustering, recommendation systems and developing issues in data mining.

Course Objectives:

• Recognize popular data mining techniques and apply them
• Utilize a state-of-the-art data-mining package
• Apply popular data mining techniques to solve real-world problems

Analysts and business super users managing, analyzing and telling data stories to solve problems and make better business decisions.