
While R is specifically engineered for statistical analysis, performance issues can slow down analytical workflows. This intermediate course introduces primary strategies and techniques to speed up R operations and accelerate data processing.
Ideal for data analysts and statisticians using R who want to decrease execution times and streamline computationally heavy analyses.
The beauty of R is that it is built for performing data analysis. The downside is that sometimes R can be slow, thereby obstructing our analysis. For this reason, it is essential to become familiar with the main techniques for speeding up your analysis, so you can reduce computational time and get insights as quickly as possible.
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