Participants should have some experience working with data in spreadsheets. Those who want to learn how to accurately perform data analysis using Power BI and are interested in learning about the data analysis process: data ingestion, cleaning, modeling, visualization, and sharing. This course covers the curriculum required to write the PL-300 exam. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Will also explore how to implement proper security standards across the Power BI spectrum including datasets and groups. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will discuss the various methods, best practices, and technical requirements for modeling, visualizing, and analyzing data with Microsoft Power BI. Participants should have previous fundamental knowledge of cloud computing and core data concepts. This course is also for data analysts and data scientists who work with analytical solutions built on Microsoft Azure. This course is for people who are interested in data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. This course covers the curriculum required to write the DP-203 exam. They will learn the importance of implementing security to ensure that data is protected at rest or in transit, and they will learn how to create a real-time analytical system to create real-time analytical solutions. Students will also learn the various ways they can transform data using the same technologies that are used to ingest data. They will then learn how to interactively explore data stored in files in a data lake, along with the various ingestion techniques that can be used to load data using Azure Data Factory, Azure Synapse, or the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks. Participants begin by learning about the core compute and storage technologies that are used to build an analytical solution. With our Money Back Guarantee you can get a refund if not satisfied on our instructor-led training.In this course, students will learn about data engineering best practices when working with batch and real-time analytical solutions using Azure data platform technologies. You may repeat the same instructor-led training class one time within a year. No problem if you didn't catch everything the first time.
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