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Global Business Analytics Professional Certificate (Online)

Program Overview

The Global Business Analytics Professional Certificate introduces the learner to the foundational concepts needed to lead or undertake a role as an analytics professional. Data analytics, and the implications of this strategic discipline, give practitioners new opportunities for discovering insights that can support the strategic goals and decision making of the organization.

This certificate provides learners a grounding in the basic theories and technologies of analytics and is relevant for multiple audiences including: the business manager charged with using data analytics to derive value from data and/or leveraging analytics teams to get that value; the subject matter expert (SME) in a business discipline charged with using analytics on the job; the budding business analytics data scientist requiring introduction to a myriad of data analytics tools from which to draw, and the IT professional responsible for supporting the analytics infrastructure. This certificate is a STEM designated certificate.

Learning Outcomes

Graduates of the Global Business Analytics Professional Certificate will have the knowledge and skills to:

  • Explain the differences between structured and unstructured data, aligning each with appropriate business applications.
  • Articulate and align with corporate performance, the complexities of data management, including organizational structures, data policy, data governance, data ownership, and data strategies.
  • Explain and give examples of the three analytic disciplines of descriptive, predictive, and prescriptive (optimization).
  • Identify and explain the steps of the CRISP-DM process model.
  • Recognize the challenges of Big Data and describe the use of supporting technologies.
  • Use visual outcomes of analytics to communicate effective messages to members of the business community.
  • Interpret and analyze individual business problems, selecting the best analytic approach and appropriate tools for extracting value from the data.
  • Explain the differences between the R and Python programming languages and demonstrate proficiency in each.


All courses must be completed at Golden Gate University with a grade of “C-” or better and a cumulative grade-point aver-age (GPA) of 3.00 (“B” average) or better in courses taken at Golden Gate University that are applicable to the program’s requirements.

Mathematics Proficiency Requirement

BUS 240 – Data Analysis for Managers
(Waived with documentation of student’s having completed equivalent course covering statistics and regression analysis with grade of “B” or better.)