Data Analyst Program Details

Bethel’s Data Analyst Certificate is designed to fit into your busy schedule. With flexible, fully online courses, you’ll build practical data skills to advance your career while learning at your own pace and receiving support from faculty and peers.

Total credits

18 credits

Finish in as few as

36 weeks

Courses

• Introduction to Business Programming (BUSN118)

  Exploration of the evolution and categories of programming languages. Application of testing and debugging techniques. Use of object-oriented programming and dynamic scripting languages. Connection of programming languages to the language of the Bible using a Christian or personal worldview.

  2 credits

• Business Analytics (BUSN315)

  Execution of the business analytics process. Measuring of uncertainty using statistical analysis tools. Summarizing of data using methods of descriptive statistics. Application of predictive analytics tools. Development of competency in software used in the field of business analytics. Articulation of ethical issues in business analytics from a Christian or personal perspective.

  4 credits

• Business Analysis and Database Management (BUSN332)

  Identification of business analysis roles, responsibilities, and competencies. Application of business analysis elicitation activities, techniques, and lifecycle management. Application of business analysis techniques to a problem. Utilization of database techniques, including SQL, and appropriate business analysis tools. Exploration of impacts of data mining, data warehousing, and big data on business processes. Integration of ethical principles in business analysis and database management with a Christian or personal worldview.

  4 credits

• Predictive Data Analytics (BUSN426)

  Application of predictive analytics to business applications that can guide strategic decisions. Preparation for the Microsoft Office Specialist Expert certification and the Tableau Desktop certification. Use of GenAI and other AI-based digital tools for business decision making. Development of proficiency in predictive analytics including data visualization and dashboarding, prediction, classification and data mining methods of clustering. Articulation of ethical issues in predictive analytics from a Christian faith perspective.

  4 credits

• Business Mathematics and Statistics (MATH201)

  Study of core statistical concepts and skills using practical business exercises, examples, and cases. Practice data acquisition, data visualization, and data analysis using Excel statistical tools. Application of quantitative reasoning, analytical thinking, and problem-solving methods to real-world business problems.

  4 credits