Interactive Course

Introduction to R for Data Science (Microsoft)

  • 0 hours
  • 0 Videos
  • 103 Exercises
  • 37,387 Participants
  • 11,450 XP

Loved by learners at thousands of top companies:

t-mobile-grey.svg
siemens-grey.svg
3m-grey.svg
ea-grey.svg
paypal-grey.svg
intel-grey.svg

Course Description

Labs for Introduction to R for Data Science.

  1. 1

    R: The true basics

    Interactive Exercises for R: The true basics.

  2. 3

    Create and name vectors

    Interactive exercises for Create and Name Vectors

  3. 5

    Subsetting Vectors

    Interactive Exercises on Subsetting Vectors

  4. 7

    Subsetting Matrices

    Interactive exercises for Subsetting Matrices

  5. 9

    Factors

    Interactive exercises for Factors

  6. 11

    Subset and Extend Lists

    Interactive Exercises on Subset and Extend Lists.

  7. 13

    Subset, extend and sort your data frame

    Interactive Exercises on Subset, extend and sort your data frame

  8. 15

    Customizing Plots

    Interactive Exercises on Customizing your plots

  9. 2

    Basic Data Types

    Interactive Exercises for Basic Data Types.

  10. 4

    Vector Arithmetic

    Interactive Exercises for Vector Arithmetic

  11. 6

    Create and name matrices

    Interactive exercises for Create and Name Matrices

  12. 8

    Matrix Arithmetic

    Interactive exercises for Matrix Arithmetic

  13. 10

    Create and Name Lists

    Interactive Exercises on Create and Name Lists.

  14. 12

    Explore the Data Frame

    Interactive Exercises on Explore the Data Frame

  15. 14

    Basic Graphics

    Interactive Exercises on Basic Graphics

  16. 16

    Multiple plots

    Interactive Exercises on Multiple plots

  1. 1

    R: The true basics

    Interactive Exercises for R: The true basics.

  2. 2

    Basic Data Types

    Interactive Exercises for Basic Data Types.

  3. 3

    Create and name vectors

    Interactive exercises for Create and Name Vectors

  4. 4

    Vector Arithmetic

    Interactive Exercises for Vector Arithmetic

  5. 5

    Subsetting Vectors

    Interactive Exercises on Subsetting Vectors

  6. 6

    Create and name matrices

    Interactive exercises for Create and Name Matrices

  7. 7

    Subsetting Matrices

    Interactive exercises for Subsetting Matrices

  8. 8

    Matrix Arithmetic

    Interactive exercises for Matrix Arithmetic

  9. 9

    Factors

    Interactive exercises for Factors

  10. 10

    Create and Name Lists

    Interactive Exercises on Create and Name Lists.

  11. 11

    Subset and Extend Lists

    Interactive Exercises on Subset and Extend Lists.

  12. 12

    Explore the Data Frame

    Interactive Exercises on Explore the Data Frame

  13. 13

    Subset, extend and sort your data frame

    Interactive Exercises on Subset, extend and sort your data frame

  14. 14

    Basic Graphics

    Interactive Exercises on Basic Graphics

  15. 15

    Customizing Plots

    Interactive Exercises on Customizing your plots

  16. 16

    Multiple plots

    Interactive Exercises on Multiple plots

What do other learners have to say?

Devon

“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group

Louis

“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden

Harvard Business School

Ronbowers

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

Filip Schouwenaars
Filip Schouwenaars

Data Science Instructor at DataCamp

Filip is the passionate developer behind several of DataCamp's interactive courses, covering both R and Python. Under the motto 'Eat your own dog food', he has used the techniques DataCamp teaches its students to perform data analysis for DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.

Icon Icon Icon professional info