• 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 NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Data Administration
  • Systems Analysis