Core skill for data science: learn dplyr package in R
course's star rating by considering a number of different factors
such as the number of ratings, the age of ratings, and the
likelihood of fraudulent ratings.
Find online courses made by experts from around the world.
Take your courses with you and learn anywhere, anytime.
Learn and practice real-world skills and achieve your goals.
This course focus mainly on dplyr package which is one of the most amazing package in R that will make you life a lot easier when dealing with data manipulation task.
It will take approximately less than an hour to complete this course but this knowledge will be the core skill for you when you use R as an data analysis / modelling tool.
The course is structured by the key code in dplyr including select , filter , arrange , mutate , group by and chain code.
Had a hard time trying to learn R ? Want to be good at R ? no more unnecessary command that is not used in practice let's learn the useful one that will make you love R.
Not for you? No problem.
30 day money back guarantee.
Learn on the go.
Desktop, iOS and Android.
Certificate of completion.
|Section 1: Basic data manipulation|
Why you should use dplyr
In this lecture , we will learn how to use select command to select columns that we want to analyse.
Learn how to use filter command based on some criteria and how to eliminate missing value using filter command
Learn how to use arrange command
|Section 2: Transform your data|
Learn how to use mutate command to create new variable
Group by and summarise data by the given function
Learn how to use chain command to make your code more efficient.
|Section 3: Real Case Study|
Let's use dplyr in the real problem from Kaggle
Currently , I'm a data mining analyst at Digital Alchemy, one of the most promising companies related to analytical and marketing in Australia.
I graduated from statistics department in Thailand with 1st rank(GPA 3.90).
While I was studying I've many experiences in tutoring others on the following topics maths , statistics , data mining and programming.
I'm talented in making hard things easy to understand and I'm so happy to teach other