• HURU School Data Science Program

Two Crucial Tools for Data Scientists in 2022

Updated: Sep 14

Apart from having appropriate qualifications and education, an aspiring data scientist must be skilled at a certain set of tools. He must be fluent in at least one of the tools from the lifecycle of a data science project, namely: data acquisition or capture, data cleaning, data warehousing, data exploration or analysis, and finally, data visualization.

Out of the many - two tools stand out in the data science space one for R and one for Python:

R - Tidyverse by Hadley Wickman

Python - Pandas by Wes Mckinney.

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