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Introduction to R for Data Science

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Pre-course survey 2 Modules
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1. Basics
Lecture: R: The true basics 1 Module
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Lecture: Basic data types 1 Module
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Further Readings 1 Module
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2. Vectors
Lecture: Create and name vectors 1 Module
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Lecture: Vector Arithmetic 1 Module
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Lecture: Vector Subsetting 1 Module
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Further Readings 1 Module
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3. Matrices
Lecture: Create and name matrices 1 Module
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Lecture: Matrix subsetting 1 Module
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Lecture: Matrix Arithmetic 1 Module
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Further Readings 1 Module
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4. Factors
Lecture: Factors 1 Module
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Further Readings 1 Module
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5. Lists
Lecture: Create and name lists 1 Module
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Lecture: Subset and extend lists 1 Module
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Further Readings 1 Module
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6. Data frames
Lecture: Explore the data frame 1 Module
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Lecture: Subset, extend and sort your data frame 1 Module
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Introduction to R for Data Science
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Course Includes

  • 27 Learning Paths
  • 33 Modules