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
- 48,173 Participants
- 4,800 XP
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This course is part of these tracks:
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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Datasets
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.
Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun exercises.
Course Outline
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1
Conditionals and Control Flow
FreeIf 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!
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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.
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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.
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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!
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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.
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.
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