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Course Description

You must successfully complete the eight required courses for a total of 10.80 Continuing Education Units (CEUs), which is equivalent to 108.0 contact hours. The program must be completed in sequence as a cohort. Cohort dates are listed below. Click on the course name for more details.

  1. Foundations of Data Analytics and Data Science (1.2 CEUs)
  2. Software Engineering for Data (1.8 CEUs)
  3. Data Sources & Storage (1.2 CEUs)
  4. Data Ingestion & Wrangling (1.2 CEUs)
  5. Data Analysis I: Statistics (1.2 CEUs)
  6. Data Analysis II: Machine Learning (1.8 CEUs)
  7. Visual Analytics (1.2 CEUs)
  8. Applied Data Science (1.2 CEUs)

Course Objectives

Upon successful completion of the certificate, you’ll be able to:

  • Apply the data science pipeline to analytical workflows
  • Express effective programming practices for analytics
  • Utilize and query relational and NoSQL databases
  • Ingest and wrangle data for deeper insights
  • Organize statistical hypothesis testing and analysis
  • Create predictive models that learn from data
  • Visualize data and models to communicate solutions
  • Explain the ethical implications of data science

XBUS-490 Python Basics for Data Analysis is now a free optional course for all accepted and registered Data Science students.

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