Data science offers the potential to transform seemingly undifferentiated data, into insight
and understanding, that can drive better decision-making.
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In a few clicks, build validated machine learning models, for Customer Churn prediction, Predictive Maintenance, Credit risk Modelling, Sentiment analysis etc. Combine R or Python code seamlessly.
Point/click access to advanced graphics and cutting edge statistics, without coding in R.
Execute ad-hoc analytics with scientific graphs and plots. In addition, use the code-free, drag-and-drop workspace to create analytic workflows.