Course
In this course, you’ll learn how to use control structures, use iteration, write functions, and start performing more complicated operations in R.
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Part of the Data Analyst (R), and R Basics for Data Analysis paths.
4.8 (359 reviews)
11,600 learners enrolled in this course.
- Beginner friendly
- 4 hours
- Self paced
- 4 lessons
- 1 project
“Getting a data science job would have been much harder without Dataquest. It’s a great product. I recommend it to anyone who asks me about how to get started.”
Adam Zabrodski
Data Science Manager @ Later
Control Flow, Iteration, and Functions in R
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Course overview
In this course, you’ll begin by learning control flow (including if-else statements) and conditionals. You’ll then move into learning about functions and functional programming. You’ll also learn about iteration, how to write for loops and while loops, and when and why you might choose to write a for loop instead of employing vectorization in R.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. At the end of the course, you’ll work on the first part of a guided project that will enable you to apply control flow loops and functions to create a reusable data workflow.
Key skills
- Understanding control flow, iteration, and functional programming in R
- Writing if-else statements, for and while loops, and much more
- Replicating your code using iterations
- Writing function using R
Course outline
Control Flow, Iteration, and Functions in R [4 lessons]
Control Flow in R 2h
Lesson Objectives
- Employ if-else statements
- Implement curly bracket notation with control flow
- Employ a for loop in R
- Employ a while loop in R
Iterations in R 1h
Lesson Objectives
- Evaluate the importance of iteration
- Employ a for loop to replicate your code
- Employ a while loop to replicate your code
- Identify the importance of vectorization in the tidyverse libraries
Functions in R 1h
Lesson Objectives
- Define a function
- Write your own function
- Employ the map function
Guided Project: Creating An Efficient Data Analysis Workflow 1h
Lesson Objectives
- Expand your portfolio with a workflow project
Projects in this course
For this project, you’ll act as a data analyst for a company selling programming books to analyze sales data and extract useful insights to determine the most profitable titles.
View Project
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Aaron Melton
Business Analyst at Aditi Consulting
“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”
Jessica Ko
Machine Learning Engineer at Twitter
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