• Online, Self-Paced
Course Description

Data science differentiates itself from academic statistics and application programming by using what it needs from a variety of disciplines. In this course, you'll explore what it is to be a data scientist and study what sets data science apart from other disciplines. It prepares learners to navigate the foundational elements of data science.

Learning Objectives

Defining Data Science

  • start the course
  • define data science and what it is to be a data scientist
  • describe the data wrangling aspect of data science
  • describe the big data aspect of data science
  • describe the machine learning aspect of data science

Implementing Data Science

  • use common data science terminology
  • recognize ways to communicate results of your data science
  • recall the steps in data science analysis
  • compare various tools and software libraries used for data science

Practice: Exploring Data Science

  • Exercise: Explore Your Data Science Needs

Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.