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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.
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.
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.
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.
If you're able to verify that your internet connection is stable and the error persists, the Franklin University Help Desk is available to assist you at [email protected], 614.947.6682 (local), or 1.866.435.7006 (toll free). Data analytics professionals use mathematical and statistical methods and techniques along with programming to design and build data models. Organizations from all sectors of the economy are seeking individuals with programming, analytics and communication skills for the purpose of sorting immense data sets to provide a competitive edge or a predictive tool that will help differentiate themselves in crowded markets. in Data Analytics program can be completed 100% online.
Demand for data analytics professionals are also expected to continue to grow by 30%, a rate that’s faster than average. Through our partnership with SAS, a global leader in analytics, you’ll also earn a SAS Joint Certificate in Data Analytics, which will complement your master’s degree and underscore your analytic knowledge and abilities.
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.