Get started with Spark for large-scale distributed data science and processing.
What Will I Learn?
- Create and master the manipulation of vectors, lists, dataframes, and matrices
- Write conditional control structures, and debug and handle errors for efficient error handling
- Handle dates using lubridate and manipulate strings with stringr package
- Work with databases without having to write SQL using the dplyr package
- Work on a full-scale data analysis / data munging project
- Perform pre-model-building steps
- Understand the working behind core machine learning algorithms
- Implement unsupervised learning algorithms
- Construct nice looking charts with Ggplot2
- Build R packages from scratch and submit them to CRAN
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