The document summarizes the key findings of the 2017 Data Science Survey conducted by Rexer Analytics. The survey received responses from over 1,000 analytic professionals across 91 countries. The survey found that the majority of respondents agree that formal data science training is needed to properly model data. It also found that about one-third of respondents reported difficulties when people at their company used do-it-yourself data tools without proper training. The survey showed that most data scientists use multiple tools for their work, with Python, R, SQL, and Tableau being some of the most commonly used. Deep learning techniques were also increasingly being used, with algorithms like convolutional neural networks being applied successfully across various domains.