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Information Technology Graduate Certificate, Analytics Using SAS®

School of Business and Technology

The Analytics Using SAS® graduate  certificate is an academic certificate jointly offered by Capella University and approved by SAS. It provides learners with the foundational knowledge needed to work with, understand, and transform data, and to develop solutions that resolve business and applied problems. Learners obtain and demonstrate a working knowledge of SAS analytics tools, such as Base SAS®, Enterprise Guide®, Enterprise Miner™, and SAS/STAT®, as they analyze business problems, lead data projects, and adhere to ethical standards. In addition and throughout the program, learners are given the opportunity to earn exam vouchers for SAS certifications.

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Five Required Courses



20 quarter credits

Basic Applications of Analytics

In this course, learners develop the skills needed to apply the early aspects of the life cycle of analytics. Learners review the different types of data sources and explore various data models and algorithms. Learners also use basic tools to complete an analysis and collaborate within teams to evaluate case studies and explore ways in which stakeholders’ needs are met through data intelligence. Must be taken during the first quarter by learners who have been admitted to the MS in Analytics degree program. Cannot be fulfilled by transfer or prior learning assessment.

4 quarter credits
ANLT5010 *
Foundations in Analytics

Learners in this course apply data management fundamentals to data models. Learners examine the concepts of data mining, ETLs, and data warehouses and also evaluate applied analytics in professional domains such as finance, marketing, and health care.  Prerequisite(s): Completion of or concurrent registration in ANLT5002 or HMSV5002 or PM5331​.

4 quarter credits
ANLT5020 *
Data Sources for Analytics

In this course, learners explain database methodologies including relational databases, flat files, dimensional modeling, RSS feeds, and multi-dimensional modeling. Learners examine the impact of data quality on analytics and apply ETL techniques and processes. Finally, learners evaluate the application of data warehouses, data marts, and multi-dimensional cubes to decision-making and action. Prerequisite(s): Completion of or concurrent registration in ANLT5010.

4 quarter credits
ANLT5030 *
Statistical Methods in Analytics

In this course, learners study the collection, organization, presentation, analysis, and interpretation of data using statistical methods. Learners practice using appropriate tools to obtain a result using statistical methods and collaborate with team members to compare processes, techniques, and conclusions to understand various perspectives. Prerequisite(s): Completion of or concurrent registration in ANLT5020.

4 quarter credits
Leadership for Analytics

Learners in this course develop and demonstrate their skill in the role of leadership in analytics and explore change management theories and models as they relate to the field of analytics. Learners examine the ethical issues and practices of the analytics field to gain an understanding of how personal ethical frameworks shape the decision-making process. Learners also evaluate project management skills needed for successful analytic projects.

4 quarter credits






20 quarter credits

* Denotes courses that have prerequisite(s). Refer to the descriptions for further details.