DBA3236 — Google Data Analytics I & II
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 data toolbox, spreadsheets, database and query basics, visualization basics, effective communication techniques, and data validation; as well as design thinking, datadriven storytelling, dashboards, R programming, job portfolios, and technical expertise. Upon completion, students should be able to review assessments, use formulas and calculations to analyze datasets, create queries, use visualization tools, create a data-driven storyboard, develop dashboards and presentations, create analytical reports using R, communicate effectively with stakeholders, and showcase technical analytical skills.