R Programming
R for Data Science
What you’ll learn
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You will learn the most important tools in R that will allow you to do data science
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You will learn to install R studio
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You will have the tools to tackle a wide variety of data science challenges, using the best parts of R.
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You will learn to import your data into R
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You will learn how to Tidy the data. Tidying your data means storing it in a consistent form that matches the semantics of the dataset with the way it is stored.
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You will learn Visualisation, it is a fundamentally human activity. A good visualisation will show you things that you did not expect, or raise new questions about the data
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You will learn Models, they are complementary tools to visualisation. Once you have made your questions sufficiently precise, you can use a model to answer them. Models are a fundamentally mathematical or computational tool, so they generally scale well.
Requirements
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You should be generally numerically literate, and it’s helpful if you have some programming experience already.
Who this course is for:
- Beginner R programmers curious about data science
