About the Certificate in Data Analytics
We live in a data-centered world, and the ability to make data-driven decisions and craft strategy informed by an effective analysis of data are key elements of successful leadership in any work environment. The Certificate in Data Analytics is a 4-course, 4 c.u.* sequence designed to provide a reasonable point of entry for individuals to gain expertise in data analytics. The certificate’s four courses are scheduled at times to accommodate working adults, so you can improve your data literacy while working on your career. Courses are taught by experts and experienced practitioners, including members of the Penn faculty from the Penn Program on Opinion Research and Election Studies. You don’t need an extensive background in math, statistics, or programming to succeed in the data analytics program. The only prerequisites are a familiarity with using a computer, basic math skills, and a willingness to learn.
Prior to the start of the term, students in DATA 101 are required to complete a pre-course module that takes approximately 3-5 hours. Read more about this module on the DATA 101 course page.
Penn LPS Online courses in the Certificate in Data Analytics are offered on an accelerated (8-week) schedule. Courses in this certificate program include a weekly synchronous session.
Although courses in this certificate must be taken sequentially to build your expertise in data analytics, you have the option to enroll in one or more courses in order without committing to the entire certificate. Visit the Cost of Attendance page for course tuition and fee rates.
*Academic credit is defined by the University of Pennsylvania as a course unit (c.u.). A course unit (c.u.) is a general measure of academic work over a period of time, typically a term (semester or summer). A c.u. (or a fraction of a c.u.) represents different types of academic work across different types of academic programs and is the basic unit of progress toward a degree. One c.u. is usually converted to a four-semester-hour course.
The Certificate in Data Analytics prepares you to:
- Implement and interpret basic regression models
- Understand advanced predictive modeling and machine learning
- Implement and analyze surveys
- Design experiments and A/B tests to test solutions and address problems
- Develop skills in statistical programming and data analysis in R
- Apply skills and knowledge to solve real-world problems
- Visualize and communicate data clearly and persuasively
Courses in the Certificate in Data Analytics must be completed sequentially, beginning with DATA 101: Introduction to Data Analytics. Students who complete all four courses in order 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 firstname.lastname@example.org or call (215) 746-6903.
- DATA 101: Introduction to Data Analytics
- DATA 201: Introduction to Statistical Methods
- DATA 301: Intermediate Data Analytics
- DATA 401: Advanced Topics in Data Analytics
Courses are subject to change.
Meet the Faculty
Faculty Director, Penn LPS Online Certificate in Data Analytics
Robert A. Fox Leadership Professor, Faculty Director of the Robert A. Fox Leadership Program, University of Pennsylvania
Careers related to Data Analytics
The Certificate in Data Analytics will provide you with the skills and knowledge to analyze data and make data-informed decisions. The certificate is not designed to train you to be a data scientist but to provide a foundation and confidence in data analysis techniques. Career options may include:
- Business analyst
- Policy analyst
- Market researcher
- Digital marketer
- Product manager
- Performance management professional
- Quality assurance professional