Artificial Intelligence (AI) for Data Analytics introduces participants with business intelligence that uses big data analytical and machine learning (ML) techniques to discover insight, find new patterns and discover relationships in the data. Artificial Intelligence (AI) Data Analytics works by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states. AI Data Analytics is the process of automating much of the work that data analyst would normally perform. While the goal is certainly not to replace analysts, AI analytics often improves a data analyst’s capabilities in terms of speed, the scale of data that can analyzed and the granularity of the data that can be monitored.

• Understand the concept of explainable Artificial Intelligence (AI).
• Understand the advantage of data mining and R.
• Understand the way to make chart/graph on KNIME and WEKA application.
• Machine learning which focuses on the use of data and algorithms to improving its accuracy.
• Understand automates analytics model in python.