![]() You will then learn how to gain a better understanding of your data through exploratory data analysis, helping you to summarize your data and identify relevant relationships between variables that can lead to insights. You will first learn important techniques for preparing (or wrangling) your data for analysis. This course starts with a question and then walks you through the process of answering it through data. R is the key that opens the door between the problems that you want to solve with data and the answers you need to meet your objectives. ![]() ![]() ![]() The R programming language is purpose-built for data analysis.
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