Skill Introduction

This skill looks at specific characteristics of data that make it useful for decision making. You will learn about characteristics of data and datasets. Data can come in different types, like numeric values, dates, and strings. The type of data is important because it affects how the data can be processed. Datasets also come in different types. The structure of the dataset is important because it will influence how you can analyze the data. You'll learn about tidying up datasets, and structuring a dataset in a wide vs. a long format. You'll also learn about some basic visualizations that will help you know how the dataset can be used to help answer questions.

Learning Outcomes

Upon successful completion, you will be able to:

  • Recognize factors that make data useful

  • Transform data from unstructured to structured

  • Critique a dataframe's ability to answer a question

Skill Curriculum

  • 1


    • Introduction Video

    • Introduction to the Skill

    • Glossary

  • 2

    Content and Activities

    • Characteristics that Make Data Useful for Decision Making

    • Structured vs. Unstructured Data

    • Properties of a Tidy Dataframe

    • Data Types

    • Data Dictionaries

    • Knowledge Check 1

    • Wide Data vs. Long Data

    • Merging Data

    • Data Automation

    • Visualization Distributions

    • Visualizing Data Relationships

    • Knowledge Check 2

  • 3

    Application Exercise

    • Instructions and Materials

    • Exercise Part 1

    • Exercise Part 2

    • Debriefing

  • 4


    • Concluding Video

    • Final Quiz

    • Survey Instructions

    • Feedback Survey

    • Survey Verification

    • Next Steps

Begin your learning today.