The course structure follows a linear progression that mirrors the standard data science pipeline.
: A comprehensive course that teaches machine learning in both Python and R . It covers 10 distinct parts including regression, classification, clustering, and deep learning. superdatascience r course
Theory means nothing without application. The SDS R course includes two major projects: The course structure follows a linear progression that
The SDS R course is structured to take a complete beginner to an intermediate level, focusing heavily on the ecosystem (dplyr, ggplot2, tidyr). Theory means nothing without application
| You should take this if... | You should skip this if... | | :--- | :--- | | You are a student in statistics or economics. | You want to learn deep learning or neural networks (use Python). | | You are a researcher transitioning from SPSS/SAS to open-source R. | You are a software engineer wanting to build web apps. | | You are taking the Google Data Analytics Certificate and want to learn R deeply. | You already use dplyr and ggplot2 daily at work. |