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Course
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Exploring Data with Quantitative Techniques Using R
Data exploration is one of the first things you do when analyzing data. It leads the way to further in depth analysis. With this course, you will learn how to use R for data exploration of a large dataset.
What you'll learn
Do you want to perform data exploration on a large dataset? In this course, Exploring Data with Quantitative Techniques Using R, you will see why R is a great tool in getting to know your data. The course uses a 3 step approach to explore the NYC flights dataset. First, you will get an initial idea via summary statistics. Then, you will use hypothesis tests and visualizations to work on single variables. Finally, you will use techniques for correlations between multiple variables. On top of that, the course also has a module on data sampling which is especially useful for large datasets. When you are finished with this course, you will have the skills and knowledge of data exploration needed to understand a new dataset. You will also use some outstanding add-on packages for the topic.
About the author
Martin is a trained biostatistician, programmer, consultant and data science enthusiast. His main objective: Explaining data science in a straightforward way. You can find his latest work over at: r-tutorials.com
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