Data Analytics (DATA)

The courses listed on this page are exclusive to the LPS BAAS degree and LPS Online certificates.

DATA 101 Introduction to Data Analytics

In our digital world, data-driven decision-making is becoming more common and more expected. Effective leadership and communication, therefore, often hinges on the ability to acquire, manage, analyze, and display large, quantitative data sets. Even many entry-level jobs assume or require basic knowledge of data analytics. This course introduces students to important concepts in data analytics across a wide range of applications using the programming language R. Students complete the course with a clear understanding of how to utilize quantitative data in real-time problem identification, decision-making, and problem-solving. No prerequisites in statistics or math are required. This course will have required synchronous sessions and the instructor will offer a choice of times. Only open to Data Analytics certificate students in LPS Online Program. Please email lps@sas.upenn.edu to request a permit.

Taught by: Samantha Sangenito

Also Offered As: LEAD 305

Activity: Online Course

1.0 Course Unit

DATA 210 Intermediate Data Analytics

In Data Analytics 210: 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 two prerequisite data analytics courses 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. Data Analytics courses admit a limited number of students each term. Early registration is recommended. To confirm whether registration is still open for a specific term before you enroll, please email lpsonline@sas.upenn.edu or call (215) 746-6903.

Taught by: Samantha Sangenito

Prerequisite: DATA 101

Activity: Online Course

1.0 Course Unit

DATA 310 Introduction to Statistical Methods

Introduction to Statistical Methods exposes students to the process by which quantitative social science and data science research is conducted. The class revolves around three separate, but related tracks. Track one teaches some basic tools necessary to conduct quantitative social science research. Topics covered include descriptive statistics, sampling, probability, and statistical theory. Track two teaches students how to implement these basic tools using R. The third track teaches students the fundamentals of research design. Topics will include independent and dependent variables, generating testable hypotheses, and issues in causality.

Taught by: Samantha Sangenito

Prerequisite: DATA 101 AND DATA 210

Activity: Online Course

1.0 Course Unit

DATA 401 Advanced Data Analytics

Data Analytics 401: Advanced Topics in Data Analytics emphasizes the skills necessary to do predictive modeling of data. This is one of the most commonly sought-after skills in data science jobs, since it can help companies structure future investments, non-profits organize funding drives, or political candidates decide where to focus their get-out-the-vote efforts. 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. Please email lps@sas.upenn.edu to request a permit.

Taught by: Samantha Sangenito

Prerequisite: DATA 101 AND DATA 210 AND DATA 310

Activity: Online Course

1.0 Course Unit

Notes: Data Analytics courses admit a limited number of students each term. Early registration is recommended. To confirm whether registration is still open for a specific term before you enroll, please email lpsonline@sas.upenn.edu or call (215) 746-6903.