Data scientists weigh in: 5 data science tools to consider

Data and analytics provide the fuel for digital transformation and disruption. And the only way enterprises can make that fuel high-octane is if they arm their teams of statisticians, math gurus and business analytics experts with the right data science tools to squeeze insight out of the ever-growing pools of corporate data.

Whether they’re for straight statistical analysis, machine learning modeling or visualizations, a strong set of data science tools is essential for developing a data-driven business culture. We recently caught up with a number of experienced data scientists across a range of industries to ask which tools they use the most. Here are the top five picks that came up over and over again.

Author: Ericka Chickowski


1 reply »

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