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In the past, data science has been reserved for large financial and technology companies. Today, it is used by organizations of all sizes to find and fix bottlenecks, increase efficiency and track and reduce defects.
The amount of data available is growing exponentially but turning the data into action requires tools and time. Data scientists need the right software and applications to provide valuable insights for their companies.
Read on to learn what tools can help you optimize your data science workflows to increase productivity and capability.