Course Description

About the Course

Data does not come in the structure or shape in which we need it for analysis and a lot of time is spent in getting the data into shape. As such reshaping data is an invaluable skill set for a data scientist. In this course, you will master sophisticated techniques for data manipulation using the dplyr package. You will learn to tabulate, sample, extract and modify data using the helper functions in dplyr.

What will I learn?

After completing this course, you should be able to:

  • rename columns
  • sample data
  • extract rows and columns
  • tabulate data
  • modify data using case when

What are the prerequisites for this course?

  • Introduction to R
  • Import Data into R
  • Data Wrangling with dplyr (Part 1)
  • Good internet connection
  • Passion to learn

Course curriculum

  • 1

    Course Materials

    • Slides

    • R Script

    • Data

    • Blog Post

  • 2

    Introduction

    • Agenda & Case Study

  • 3

    Sample, Extract & Tabulate

    • Extract distinct values from a column

    • Learn to rename columns

    • Learn to sample data

    • Learn to extract columns

    • Learn to extract rows

    • Learn to tabulate data

    • Learn to extract values within an interval

    • Case When - Part 1

    • Case When - Part 2 & Summary

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