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Microsoft Power BI Data Analyst
This training begins with connecting to different data sources and performing advanced transformations with Power Query using the M language. You will then study data modeling, including managing relationships, cardinalities, and implementing a star schema. The program also covers writing DAX measures, from simple calculations through to time intelligence functions. You will learn to design clear, interactive visual reports, while leveraging advanced analytics features such as forecasting, Key Influencers, and the Decomposition Tree. Finally, the session addresses publishing, sharing, governance with row-level security (RLS), and concludes with preparation for the PL-300 mock exam.
Data Analytics & Engineering
This training begins with the foundations of data and a method for framing an analytics project. You will then explore the use of Python and the Pandas library to manipulate and analyze your datasets. The program covers applied statistics, with a focus on descriptive analysis, correlations, and regressions. You will also study star schema modeling, ETL/ELT processes, and the medallion architecture. In addition, the session presents the different Azure data services across relational, non-relational, and analytical environments. Finally, you will learn to present your results with Power BI, while completing a capstone project and preparing for the DP-900 mock exam.
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