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online certificate of completion in data science

Build the skills to turn data into insight with hands-on training in Python, R, and the core foundations of data science—no coding experience required.
Spring term classes start March.

100% online learning.

Earn your degree on your schedule

$459 per credit hour.
9 total credit hours.

3 courses, 3 credit hours per course, 8 month program

learn how to turn raw data into strategic insights and solutions with no previous coding experience.

The Graduate Certificate of Completion in Data Science Foundations provides a practical introduction to the core tools, concepts, and techniques that power today’s data-driven world. Designed for learners from diverse backgrounds, this three-course program builds essential skills in programming, statistics, and data analysis—no prior coding experience required. Students begin by exploring the foundations of data science, including its history, ethical considerations, and key technologies such as big data frameworks, visualization, and statistical thinking. The program then introduces Python programming, equipping learners to clean, manipulate, and analyze datasets while developing a working environment for data science tasks. Building on this foundation, students gain hands-on experience with the R programming language to perform statistical tests, interpret results, and communicate findings through reports and visualizations. By the end of the Certificate of Completion, learners will be able to work confidently with data, apply statistical methods, and use industry-standard tools to extract insights—preparing them for further study or entry into data-focused roles across a wide range of industries.

what you'll learn.

Through this program, students develop the analytical, technical, and ethical skills needed to turn raw data into meaningful insights and actionable solutions.

upon graduation, students will be able to:
  • Analyze datasets using foundational programming and statistical techniques to uncover patterns and insights.
  • Evaluate the ethical implications and practical applications of data science in real-world contexts.
  • Create basic data analysis workflows using Python and R to clean, visualize, and interpret data effectively.
Take the next step to advance your career.

Awards

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Data Science degree courses

Current students please login to BRUIN and select “Academic Progress” for your curriculum requirements.

Students seeking this certificate of completion will need to successfully complete:

This course introduces the possibilities, history, and ethics surrounding Data Science. Basics of data science are explored, including vocabulary, programming languages, big data frameworks, visualization, and statistics. Prior programming experience is not needed for this course.

This course introduces the Python programming language as a tool to clean, slice, and build tools to analyze an existing dataset. Basic principles of programming are explored as well as techniques for configuring a computer for data science work. Prerequisite: Recommend DSC 500

The R programming language and software environment is commonly used to explore all types of data. Using R, students perform statistical tests on the data. Report writing and presentation of data are introduced. Prerequisite: Recommend DSC 500

9

Integrative General Education Credits

= 9 total credits*

University Accreditation

Bellevue University is accredited by the Higher Learning Commission ( hlcommission.org ), a regional accreditation agency recognized by the U.S. Department of Education.

Whether a college, university, or program is accredited is important to students receiving financial aid, employers who provide tuition assistance, donors, and the federal government.

Accreditation Information

This program is considered a non-licensure degree/certificate program and is not intended for those seeking licensure or the practice of licensed profession. This program may be relevant to multiple occupations that do not require licensure and was not designed to meet educational requirements for any specific professional license or certification.

*Consult with an admissions counselor to determine your eligible credits, as well as to verify minimum graduation requirements for this degree. Transfer credits must be from a regionally accredited college or university. Bellevue University makes no promises to prospective students regarding the acceptance of credit awarded by examination, credit for prior learning, or credit for transfer until an evaluation has been conducted.

learn on your own time, from anywhere.

Our flexible online courses are designed to bring quality learning into a format that fits your schedule, without sacrificing meaningful faculty feedback and collaboration with peers across the country. Stay on track with the help of your Student Coach — with you from day one to graduation.
Flexible schedule.

Study on your own time with courses designed to fit your busy life—whether you're working, raising a family, or serving in the military.

Reliable technical support.

Access 24/7 tech support to keep you connected and focused on learning, no matter where you are.

Dedicated online student support.

From coursework access and connectivity issues to tutoring and resume assistance, we've got you covered.

Engaging online learning.

Enjoy interactive courses designed for real-world application, with multimedia content, discussions, and hands-on projects.

nonprofit with national recognition

Whether you’re preparing for your next promotion or changing careers to better support your family, we offer more than 80 career-focused programs with 100% online and flexible learning options tailored to your needs.

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grow with faculty who’ve been where you are.

Learn from experienced educators who have established careers across diverse fields of study. Our instructors have worked with both prominent institutions and innovative organizations from around the world. Through their expertise, students will gain valuable insights and develop essential concepts and skills in their area of study.

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