Interactive Course

# Introduction to R for Data Science (Microsoft)

• 0 hours
• 0 Videos
• 103 Exercises
• 35,210 Participants
• 11,450 XP

### Course Description

Labs for Introduction to R for Data Science.

Labs for Introduction to R for Data Science.

### Course Outline

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

##### 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.

### Course Instructor

##### 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.

Join over 3,320,000 others learning to leverage the power of data with DataCamp!