Google Data Analytics II. 3.0 Credits. Class-2.0. Clinical-0.0. Lab-3.0. Work-0.0

Catalog description

This course introduces the role of an advanced Google data analyst and how to make data-driven decisions using effective questions, data transformation, analyzation processes, visualization and programming. Emphasis is placed on setting up a design thinking, data-driven storytelling, dashboards, R programming, job portfolios and technical expertise. Upon completion, students should be able to create a data-driven storyboard, develop dashboards and presentations, create analytical reports using R, and showcase technical analytical skills.