Interactive Course

# Intermediate R: Practice

Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun exercises.

• 4 hours
• 0 Videos
• 52 Exercises
• 55,938 Participants
• 4,800 XP

### Course Description

This follow-up course on Intermediate R does not cover new programming concepts. Instead, you will strengthen your knowledge of the topics in Intermediate R with a bunch of new and fun exercises.

1. 1

#### Conditionals and Control Flow

Free

If conditionals are your thing, these exercises will be a walk in the park. Else, let the feedback guide you and add these vital elements of R to your toolkit!

2. #### Functions

Functions make R powerful: you can isolate chunks of code, wrap them in a function and use them whenever you want. In this set of exercises, you'll practice more on using functions and writing your own functions.

3. #### Utilities

To finish off these supplementary exercises, you can exercise some more with often-used functions in R, regular expressions and manipulating dates and times.

4. #### Loops

Looping through data structures is something you'll often do. While and for loops help you do this. Get more practice on them by analyzing the log data from a chemical plant.

5. #### The apply family

lapply, sapply and vapply are all members of R's apply family: they provide a fast and intuitive alternative to the while and for loops you've learned about before. Become an apply pro with some more practice!

1. 1

#### Conditionals and Control Flow

Free

If conditionals are your thing, these exercises will be a walk in the park. Else, let the feedback guide you and add these vital elements of R to your toolkit!

2. #### Loops

Looping through data structures is something you'll often do. While and for loops help you do this. Get more practice on them by analyzing the log data from a chemical plant.

3. #### Functions

Functions make R powerful: you can isolate chunks of code, wrap them in a function and use them whenever you want. In this set of exercises, you'll practice more on using functions and writing your own functions.

4. #### The apply family

lapply, sapply and vapply are all members of R's apply family: they provide a fast and intuitive alternative to the while and for loops you've learned about before. Become an apply pro with some more practice!

5. #### Utilities

To finish off these supplementary exercises, you can exercise some more with often-used functions in R, regular expressions and manipulating dates and times.

### What do other learners have to say?

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

Devon Edwards Joseph

Lloyd's Banking Group

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

Louis Maiden

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

Ronald Bowers

Decision Science Analytics @ USAA

##### 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.

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