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Læringsspor Data Visualization with R - Online-undervisning med certifikat
Data Visualization with R
Data Visualization with R
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A beginner-friendly track designed to introduce learners to the fundamentals of data visualization using R. Starting from the basics of R programming,…
44
Chapters
4
Learning hours
44
Assignments
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Shareable Certificate
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Hvad du vil lære

Install and set up R for data analysis
Prepare and clean data for visualization using the Tidyverse
Develop a complete data visualization project from raw data to report
Understand core R programming concepts and data structures
Create a variety of visualizations in R with ggplot2
Apply fundamental principles of data visualization and storytelling
Use themes, labels, and colors to make visualizations clear and professional
Learning track content
Why R?
Basic Arithmetic
print() Function
Comments
Integer Division and Remainders
Exponentiation
cat() Function
Variables
Challenge: Revenue Calculation
Assignment Operators
Data Types
Numeric Types
Type Conversion
Logical Type
Understanding Vectors
Labeling Vector Elements
Indexing Vector Elements
Modifying Vector Elements
Deleting Vector Elements
Operations with Vectors
Understanding Factors
Indexing in Factors
Levels in Factors
Counting Factor Values
Grouping Numeric Data
Challenge: Grades Summary
Understanding Matrices
matrix() Function
Transposing Matrices
Indexing in Matrices
Labeling Rows and Columns
Operations with Matrices
Challenge: Sales and Revenue
Understanding Data Frames
data.frame() Function
Accessing Columns in Data Frames
Logical Indexing
Manipulating Columns
Manipulating Rows
Challenge: Store Revenue Analysis
Understanding Lists
Labeling List Elements
Indexing List Elements
Modifying List Elements
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My first course was 4 hours, I did it in a few days, "nugget-style". The instructions are very clear and easy to understand. There is even a hint to help you get the answer. I love the learning style that is used, it engages me.

Bill Wagner

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Steve Bruening

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As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

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