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Learn fundamental R programming skills, statistical concepts such as probability, inference, and modeling and how to apply them in practice. Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr.
Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio. Implement machine learning algorithms. In-depth knowledge of fundamental data science concepts through motivating real-world case studies