Intermediate Data Analytics

Catalog description

In Data Analytics 2100: Intermediate Data Analytics students learn the fundamentals of two skills required by many data science jobs: survey and experimental research. The course trains students in all aspects of the survey research process, including designing good survey questionnaires, drawing samples, weighting data, and analyzing survey responses. Students come away from the class with an understanding in how to design, analyze a randomized experiment and build upon the R skills gained in previous courses. Certificate students and individual course takers must complete a prerequisite data analytics course before enrolling in this course. Although courses in the Certificate in Data Analytics must be taken sequentially to build your expertise in data analytics, you have the option to take courses in order without committing to the entire certificate. Students who complete all four courses earn the Certificate in Data Analytics. Please submit a permission request in Path@Penn to register for this class.