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Introduction to R for Data Science (Microsoft)
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11,450 XP
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Course Description
Labs for Introduction to R for Data Science.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.- 1
R: The true basics
FreeInteractive Exercises for R: The true basics.
- 2
Basic Data Types
FreeInteractive Exercises for Basic Data Types.
- 3
Create and name vectors
FreeInteractive exercises for Create and Name Vectors
- 4
Vector Arithmetic
FreeInteractive Exercises for Vector Arithmetic
- 5
Subsetting Vectors
FreeInteractive Exercises on Subsetting Vectors
- 6
Create and name matrices
FreeInteractive exercises for Create and Name Matrices
Analyzing matrices, you shall100 xpAnalyzing matrices, you shall (2)100 xpNaming a matrix100 xpValid syntax or not?50 xpCalculating the worldwide box office100 xpAdding a column for the Worldwide box office100 xpAdding a row100 xpThe total box office revenue for the entire saga100 xpMatrices: Move it up a notch200 xp - 7
Subsetting Matrices
FreeInteractive exercises for Subsetting Matrices
- 8
Matrix Arithmetic
FreeInteractive exercises for Matrix Arithmetic
- 9
Factors
FreeInteractive exercises for Factors
- 10
Create and Name Lists
FreeInteractive Exercises on Create and Name Lists.
- 11
Subset and Extend Lists
FreeInteractive Exercises on Subset and Extend Lists.
- 12
Explore the Data Frame
FreeInteractive Exercises on Explore the Data Frame
- 13
Subset, extend and sort your data frame
FreeInteractive Exercises on Subset, extend and sort your data frame
Selection of data frame elements100 xpSelection of data frame elements (2)100 xpOnly planets with rings100 xpOnly planets with rings (2)100 xpOnly planets with rings but shorter100 xpAdd variable/column100 xpAdd observations100 xpSorting100 xpSorting your data frame100 xpRule the world: part II200 xp - 14
Basic Graphics
FreeInteractive Exercises on Basic Graphics
- 15
Customizing Plots
FreeInteractive Exercises on Customizing your plots
- 16
Multiple plots
FreeInteractive Exercises on Multiple plots
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.
Filip SchouwenaarsMachine Learning Researcher
Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. He also led the development of DataLab, DataCamp's collaborative data science notebook. Holding degrees in Electrical Engineering and Artificial Intelligence, he currently works as a freelance machine learning researcher and data science educator.
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