Python and R for Advanced Analytics

As the complexity and volume of data grows, data teams are optimizing their analytics workflows to support more complex logic, advanced transformations and customized visualizations that will be crucial in supporting machine learning and AI. There isn’t an abundance of external conversation about the languages used to analyze these massive quantities of data, but analysts are becoming more sophisticated as their field matures, evolving to work with bigger data sets and integrating new techniques into their workflow. This means more than just finding new ways to innovate with SQL — advanced languages like R and Python have become a more critical part of their everyday analysis. Therefore, mastering the transition into Python and R is crucial in order to practice advanced analytics. In this presentation, Tom O’Neill, CTO & Co-Founder of Periscope Data, will discuss the advantages of implementing SQL vs. Python & R as part of your AI strategy, and explain how to bring the workflows of all three together on one platform. To illustrate how SQL and Python work together to answer complex data questions, Tom can conclude with a live coding demo on stage.