Two Crucial Tools for Data Scientists in 2022
Updated: Sep 14, 2022
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:
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