Course Descriptions

Introduction to Data Science – DATA 1501


This course is intended to provide an introduction into the field of Data Science. Students will develop skills in appropriate technology and basic statistical methods by completing hands-on projects focused on real-world data and addresses the social consequences of data analysis and application.

Learning Objectives

After completing this course, students will be able to:

  • Explain the importance of and be able to formulate a data analysis problem statement that is clear, concise, and measurable.
  • Identify and appropriately acknowledge sources of data.
  • Be able to apply basic data cleaning techniques to prepare data for analysis
  • Be able to identify the categorical and/or numerical data types in a given data set
  • Apply appropriate descriptive and inferential methods to summarize data and identify associations and relationships.
  • Use appropriate tools and technology to collect, process, transform, summarize, and visualize data
  • Be able to draw accurate and useful conclusions from a data analysis
  • Effectively communicate methods and findings in a variety of modes
  • Differentiate between ethical and unethical uses of data science.
  • Identify goals and methods of testing hypotheses.
  • Explain the bootstrap methods.
  • Identify legal issues surrounding the use of data.
  • Mine data to develop predictive models and evaluation.

DATA 1501 - Summer 2024

Course Instructor
DATA 1501 1AGMuhammad Rahman
DATA 1501 1BGNicolas Perez

Credit Hours


  • See your home institution's prerequisite requirement.

Free Textbook

  • Open educational resources (OER)

View Syllabus

Course Equivalency

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