Data comes in many shapes and forms from all kinds of data sources. The first step before any statistical analysis can be done, is to bring the data into a suitable format. In R, there are three different package ecosystems to transform data, namely base R, tidyverse and data.table.
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Advanced Data Transformation covers the most popular ways of transforming data into all kinds shapes and forms.
- base R is already integrated into the R language itself
- tidyverse provides many packages for data manipulation—-most importantly dplyr and tidyr
- data.table is a highly optimized, in-memory transformation and query interface for tabular data
There is no on-size-fits-all solution to a problem, so in Advanced Data Transformation you will learn how to use the right tool for your data use cases. For each available package ecosystem it covers all essentials, including:
- Data Filtering
- Grouping and Aggregating
- Pivoting
- Joins
- and more!
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After completing Advanced Data Transformation you get a unique certificate, which you can download as PDF and include in your portfolio!