Science Data Analysis Coursework

Some emphasis will also be given to ethical principles of data analytics.

This course focuses on the fundamental design considerations in designing a database.

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.

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.

Specific topics include performance analysis of design alternatives, system configuration and the administration of a popular database system.

The course also offers an in-depth analysis of the algorithms and machine organizations of database systems.

The candidate’s work history, references, and other personal qualities and characteristics will be considered as well if the GPA requirement is not met Fall 2019 August 26, 2019 Spring 2020 January 7, 2020 Summer 2020 April 13, 2020 Successful completion (C or better) of a college level Introductory Statistics course is required.

Completion of a college level programming course is strongly recommended.

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