In addition to your Franklin master’s degree, you’ll also earn a SAS Joint Certificate in Data Analytics.
This certificate is issued jointly by SAS, a privately owned company that provides analytics software and services to industry, government, academia and researchers around the world, and Franklin University.
The purpose of this capstone course in Data Analytics is to assess students' ability to synthesize and integrate the knowledge and skills they have developed throughout their coursework.
The course provides students with the opportunity to demonstrate competency on the key domains of data analytics through a comprehensive project including problem scoping, data preparation and analysis, and a model development.
This course examines the issues in management and analytical analysis of massive datasets, and unstructured data, including data warehousing from an enterprise perspective.
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Students will learn the concepts and techniques for managing the design, development, security and maintenance of enterprise information.This course explores two main areas of machine learning: supervised and unsupervised.Topics include linear and logistic regression, probabilistic inference, Support Vector Machines, Artificial Neural Networks, clustering, and dimensionality reduction, and programming.Some emphasis will also be given to ethical principles of data analytics.This course focuses on the fundamental design considerations in designing a database.This course examines the data analysis process with the emphasis of quantitative and qualitative findings from data.Students will develop skills in data analytics methods and predictive analytics that will allow them to develop algorithmic methods and use them along with popular industry software for data-driven solutions.A learning outcome map functions as a roadmap to help guide students' progress through their program of study.It shows where each outcome is Introduced (I), Reinforced (R), and Assessed (A) within the program's curriculum.Demand for data analytics professionals are also expected to continue to grow by 30%, a rate that’s faster than average.* In addition, a survey of job postings nationwide shows that data analytics jobs take longer to fill compared to other positions, indicating that demand is high and supply is low for qualified individuals to fill these positions. The robust curriculum includes coursework in statistics, programming, data management, data visualization, data mining, machine learning and advanced analytics. You’ll explore big data technologies including Hadoop, Map Reduce, Data Warehouse, SQL, No SQL and In-memory Databases.You’ll use Python and R to learn data processing algorithms, while other hands-on projects include exercises and assignments in Tableau, SAS Enterprise Miner, SAS Text Analytics, and SAS Visual Analytics. in Data Analytics program, you will also receive a SAS Joint Certificate in Data Analytics along with your master’s degree to recognize your achievement with SAS technologies.