Towards Democratizing Data Science

Nice thought, though I wonder how the use/presentation of the results can spin the outcome.  Note the use of Bayesian methods, which we also used extensively to provide more explainable results.   Use of the Jupyter notebook is good for understanding.    Also related to some of our own work modeling data valuation.   Looking deeper

Democratizing Data Science 
MIT News   by Rob Matheson

Massachusetts Institute of Technology (MIT) researchers have developed a tool for nonstatisticians that automatically generates models for analyzing raw data. The tool takes in datasets and generates sophisticated statistical models normally used by experts to analyze, interpret, and predict underlying patterns in data. The tool currently resides on Jupyter Notebook, an open source Web framework that allows users to run programs interactively in browsers; users can write just a few lines of code to uncover insights into a range of topics. The system uses Bayesian modeling, a statistical method that continuously updates the probability of a variable as more information about the variable becomes available. The tool uses a modified version of "program synthesis," a technique that automatically creates computer programs given data and a language to work within. Said MIT’s Feras Saad, “People have a lot of datasets that are sitting around, and our goal is to build systems that let people automatically get models they can use to ask questions about that data.”