This course is an introduction to Data visualization and communication using Machine Learning and its core models and algorithms for students in the Data Science Program. It covers all significant topics, including graphics, discrete and continuous variables, clustering and classification. The objective of the course is to provide students an overview of machine learning techniques to visualize and explore, analyze, and leverage data.
The course covers the use of data analysis and machine learning to aid the development of visualization. Implement prototypes that use visualization to explain machine learning models supervised, unsupervised, and reinforcement learning. Students will be familiarized with broad machine learning and statistical pattern recognition topics, including: neural network training, classification, regression, support vector machines.
This course will use different languages' frameworks to demonstrate machine learning techniques. Students will use R and Tableau to complete the homework, assignments and projects through the course.
University-wide Student Learning Outcome
The University Student Learning Outcomes assessed and reinforced in this course include but are not limited to the following:
- Critical Thinking
- Information Literacy
To accomplish its mission, CSTU is committed to enhance student competencies by:
Providing working adults with higher educational opportunities that are flexible and accessible;
Providing graduate level students professional training and preparation for careers
Providing higher educational opportunities that are current with technology and career demands;
Providing faculty members that have demonstrated expertise in, their respective domain, both professionally and academically;
Integrating into the educational process a better understanding of cultural diversity needs;
Delivering educational support services that meet student life demands and schedules;
Building within students a value for life-long learning and education;
Providing educational resources in a manner that effectively uses current technology.
CSTU is committed to the highest ethical standards in the pursuit of the mission. The policies, procedures, and standards guide CSTU core values set forth below. These values are honored in our daily structure and activity as members of this community. We are committed to respect the rights and dignity of others while conducting ourselves with integrity in our dealings with and on behalf of all individuals in our environment and are accountable as individuals and as members of this community for the ethical conduct and for compliance with applicable laws, University policies, and directives while conscientiously strive for excellence in our work.