Skill Introduction

Assembling data is a crucial task that must be performed before data can be analyzed. In this skill you'll identify how framing a question and the intended analysis influence the way in which data is assembled. You will then explore some common issues associated with assembling data. One of the key issues is preprocessing associated with some common non-numeric data types: dates, factors, and logicals. Finally, you will gain experience performing some fundamental data assembly tasks: creating conditional (if-else) statements, stacking data, and using loops to iteratively perform tasks.



Learning Outcomes

Upon successful completion, you will be able to:

  • Understand how assembling data is related to framing a question and calculating the results.

  • Appreciate some common issues associated with assembling data and non-numeric data types.

  • Execute some fundamental data assembly tasks.

Course curriculum

  • 1

    Orientation

    • Introduction Video

    • Introduction to Skill

    • Glossary
  • 2

    Content and Activities

    • Framing a Question

    • Assembling a Data

    • Calculate the Results

    • Knowledge Check 1

    • Data Types

    • Packages

    • Creating Date Types

    • Knowledge Check 2

    • Calculations with Dates

    • Factors

    • Logical Type and Relational Operators

    • Knowledge Check 3

    • Conditional Statements

    • Stacking Data

    • Loops

    • Knowledge Check 4
  • 3

    Application Exercise

    • Instructions

    • Exercise Files

    • Debriefing
  • 4

    Summary

    • Concluding Video

    • Final Quiz

    • Survey Instructions

    • Feedback Survey

    • Survey Verification

    • Next Steps

Begin your learning today.