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This course explores data mining methods and procedures for diagnostic and predictive analytics.Topics include association rules, clustering algorithms, tools for classification, and ensemble methods.
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.
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.
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.Topics to be covered include data collection, analysis and visualization as well as statistical inference methods for informed decision-making.Students will explore these topics with current statistical software.Requirements for admission include having earned a bachelor's degree from a regionally accredited institution.The bachelor's degree final cumulative GPA must be at least a 2.75 on a 4.0 scale, otherwise a graduate entrance exam may be required.Our partnership with SAS and its heavy integration into the coursework helps you build proficiency that translates into a competitive advantage in the job market. At Franklin, you’ll get the convenience and flexibility of a quality online education, expert instructors who have relevant and real-world experience, and strong student support from dedicated faculty, tutors and advisors.As you progress through the program, you’ll learn to manage, visualize and analyze complex data sets; apply a number of analytics methods to solve business problems and effectively communicate your results through a combination of interactive and relevant coursework.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.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.