When changing a column's data type, one or more multiple M expressions are created.

One of the most valuable features of Power BI supported data sources is applying any sort of transformation to data source objects. Quick Insights are used for outliers, correlations, trends, change points in trends, and major factors right from the dashboard tiles. Power BI Quick Insights are the most valuable feature the end user can search datasets or dashboard tiles for interesting insights automatically within seconds. Customers navigate their data by just asking questions. Customers can analyze their data by asking questions in natural language with no special code or syntax required. Power BI has a powerful natural language processing and recognition engine named Cortana. The overarching goal of the course is to help students become effective at the process of retrieving, analyzing and visualizing data in order to answer questions and draw conclusions.Power BI Key Features Introducing natural language Q&A (Cortana integration) After taking the introductory lessons on data analytics, the course then moves to M, the language of Power Query, and learning to build custom formulas as part of the data transformation process. We first start with an introduction to data analysis looking at different terms and techniques such as descriptive and inferential statistics, histograms, linear regression and an introduction to the concepts of correlation and probability. The course is centered around building a strong foundation and intuition of analytics so that students can take their skills beyond simply aggregating data in Power BI and into the realm of statistics, forecasting and strategy. In this course, students will focus on the techniques and skills needed for data analysis in Power BI.

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