Data Science Foundations Certificate of Completion

Organizations are collecting vast amounts of data about their customers, operations, and financial performance. Bellevue University’s online Data Science Foundations certificate of completion prepares you to be in the driver’s seat to analyze and make relevant discoveries from large data sets.

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.

Curriculum

What You'll Learn

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

(Click a course name below to view course details).

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

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