Data for Non-tech Learners

  • 10m
  • 10 questions
The Data for Non-tech Learners benchmark measures your ability to recognize key terms and concepts related to data science. You will be evaluated on your knowledge of the benefits of leveraging data science, data science elements, thinking critically about data, the data life cycle, and the value of analytics. Learners who score high on this benchmark demonstrate that they have the skills related to data science terminology and concepts.

Topics covered

  • distinguish between structured and unstructured data
  • distinguish between the three key aspects of data science
  • distinguish between types of analytics
  • identify best practices for extracting useful insights from your data
  • identify the steps of a data-driven decision-making process
  • recognize the benefits of building your analytics literacy
  • recognize the questions to ask when thinking critically about data
  • recognize the ways data science can increase business value
  • sequence the four steps in the analytics development process
  • sequence the stages of the data lifecycle