This is an interdisciplinary course for non-majors that considers the implications of the creation, collection, and dependence on data for individuals and society. Requiring only a minimal prerequisite knowledge of statistics and programming, students develop familiarity with applied business analytics and basic knowledge of statistics and computer programming, so they can enter organizations as high functioning contributors.
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.
The class begins with a comprehensive discussion on basic regression analysis and then moves on to more advanced topics in R like web scraping, mapping, textual analysis, and working with string variables. The course also features content about more advanced data visualization skills, including creating interactive data visualizations in RShiny.
We recommend that you start with this learning path. Dust off your lab-coat and stretch out your fingers and get ready for the journey of a lifetime that will have you see the everyday through a new lens.With the given course, gain in-demand skills that prepare you for an entry-level job. Understand the concepts and principles of credit risk management and the steps to manage portfolio credit risks. Upon completion of the certificate, you can directly apply for jobs with Google and over 130 U.S. employers.