It’s really important to know your main r data types so you can check what kind of values you’re working with when modeling data, or when casting it as a certain data type. Learn how to check numeric data types from integers, to floating-point numbers, to negative and positive numbers, as well as character/strings and logical data types.

Learn the essential concepts in data science and understand the important packages in R for data science. You will look at some of the widely used data science algorithms such as Linear regression, logistic regression, decision trees, random forest, including time-series analysis. Finally, you will get an idea about the Salary structure, Skills, Jobs, and resume of a data scientist.

A data scientist/analyst in the making needs to format and clean data before being able to perform any kind of exploratory data analysis.

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