This course is the capstone course for the Data Analytics and Visualization Certificate program. The goal of this course is to integrate the knowledge and skills gained from the three previous courses to create a proposal, prepare and analyze data, create visualizations, and present a comprehensive data analytics project. Visualizations will include graphs and charts embedded in the presentation, as well as a final interactive dashboard, ideally hosted on the web for use in the student e-portfolio. Upon completion of this data analytics and visualization course, students will be able to effectively utilize Excel, Tableau, Python, and R for data analysis in a variety of professional settings.
Number of Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: This course provides continuing education for working professionals in a wide variety of industries or currently enrolled undergraduate students, including those who are:
This is the fourth and final course in the Data Analytics and Visualization Certificate program.
Required successful completion of:
A Bachelor's degree or currently in a bachelor's program, with a basic mathematics background preferred, with at least one course, preferably, in basic statistics taken at the college level.
Once you have enrolled in your course, log in to your account to access the course Welcome Letter, which includes directions on how to access the Online Orientation and your online course.
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Online Fixed-Date: Online fixed-date courses offer a convenient, yet rigorous style of learning that enables you to collaborate with your instructor and other students in a shared, online learning environment. These courses have fixed start and finish dates, but as an online student you will have 24/7 online access to your classroom assignments, syllabus and course resources. Our online fixed-date courses allow you to work on your assignments anytime, although you are required to complete the assignments by specific dates.
How is the learning structured? In an online fixed-date course, you and your classmates will proceed through the curriculum together, collaborating in a shared learning experience. Each online fixed-date course is asynchronous, meaning that you can work on your assignments anytime, although required to complete the assignments by specific dates. The course is designed with learning modules where all of the content is grouped into weekly assignments. Each module covers one or more topics. Within each of the learning modules, you can expect the following components:
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