Online Certificate in Data Analysis
- No statistics or computer programming background needed.
- Learn statistics, programming (R, Python, and LaTex), and data visualization.
- Turn data into action.
- No GRE.
- 3 courses, 1 year.
- Designed for recent college graduates and working professionals.
An increasingly data-informed world has created a demand for data-agile people. The ability to understand novel problems, apply good judgment, and make informed decisions has become essential to leadership. Students earning the Certificate in Data Analysis learn to describe, analyze, and visualize real-world data using open-source tools.
This online graduate certificate is designed for recent college graduates and working professionals without prior background in statistics and computer programming.
The curriculum offers foundational skills in three core areas of data analysis:
- Computer programming
- Statistical analysis
- Data-informed communication
The courses in the Data Analysis Certificate are designed for students who have completed, at a minimum, college algebra (even if those skills may have faded), and the program assumes no prior experience with programming or statistical expertise.
Students must complete three 3-credit courses (a total of 9 credit hours). The minimum GPA requirement for earning this certificate is 3.0. Questions about the certificate should be directed to the Certificate Director. Enrolled students also should contact the Certificate Director for verification of completion and awarding of the certificate.
CAS 5700: Data and Knowledge
This course introduces students to the theory and practice of data-informed knowledge. It focuses on the challenges and rewards of learning from data. Research problems are drawn from publicly available datasets, and students analyze data by way of hands-on computer programming. Clear communication of findings is emphasized throughout the course.
CAS 5710: Introduction to Data Analysis
This course introduces students to a comprehensive array of basic descriptive and inferential statistics. Emphasis is placed on inference through a variety of methods including probabilistic approaches, Bayesian analysis, and resampling methods (bootstrapping and jackknifing). Statistical software and an open-source computer programming language are used to reinforce theoretical principles. A strong emphasis is placed upon data visualization and technical graphics for communication of results.
CAS 5720: Data Visualization and Communication
This course offers students a project-based approach that provides a framework for developing and managing data-centered projects from inception to formal presentation. Emphasis is placed on written and visual communication of results for decision-makers. Projects are self-identified and the selection of research questions, data sets, and analytic techniques are critical to the final product.
The certificate is open to anyone who has earned a bachelor's degree and is not currently enrolled in a graduate degree program at Ohio University.
Program code: ND9991
Applicants should complete a Graduate Non-Degree Application at Apply Now. Select the Data Analysis Certificate, program ND9991.
- Bachelor's Degree (college algebra required)
- GPA (or equivalent) of 3.0 or better in most recent degree program.
- Official transcripts
- Personal Statement. Roughly two pages that explain your current level of background in data analysis (i.e., any courses taken, workshops, software experience, etc.). What is your primary motivation for seeking the Certificate in Data Analysis? What do you hope to achieve with your new skills?
- English Proficiency. International students whose native language is not English also must submit scores from the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS academic). To be considered official, test scores must be reported directly from the testing agency to Ohio University. A TOEFL-iBT of 90 or IELTS composite of 6.5 across all bands is required. More information on English Proficiency.
See more information about Ohio University's graduate admission requirements.
The fall semester deadline is Aug. 5. The spring semester deadline is Dec. 17. The deadline for submitting applications for a summer session is April 15.
Tuition and Fees
Tuition and fees are assessed based on the number of credit hours of enrollment, Ohio residency and program. See "Graduate Programs with Differential Tuition." The current Ohio resident cost (tuition and fees) is $512 per credit hour; the non-Ohio resident cost per credit hour is $531.
Courses are 3 credit hours each, and the certificate is a total of 9 credit hours.
Each of the three courses is taught once each year. Students may complete the certificate in one year.
Students can start any semester—fall, spring or summer.
- Fall 2019 CAS 5710 Introduction to Data Analysis
- Spring 2020 CAS 5700 Data and Knowledge
- Summer 2020 CAS 5720 Data Visualization and Communication