Courses


Course Descriptions

Introduction to Data Science – DATA 1501

Description

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
mrahman@clayton.edu
DATA 1501 1BGNicolas Perez
nick@gatech.edu
3

Credit Hours


Prerequisites

  • See your home institution's prerequisite requirement.

Free Textbook

  • Open educational resources (OER)

View Syllabus

Course Equivalency

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