Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3)

Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft Power BI software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheet.

Description

In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations.

Prerequisites

To ensure your success in this course you should have experience managing data with a spreadsheet program such as Microsoft Excel, which you could obtain by taking the following courses. Microsoft Excel for Office 365 (Desktop or Online): Part 1 or Microsoft Office Excel 2019: Part 1 Microsoft Excel for Office 365 (Desktop or Online): Part 2 or Microsoft Office Excel 2019: Part 2 Optionally, having experience with other data analytics tools, such as Google Analytics or Customer Relationship Management (CRM) systems such as Salesforce®, as well as an understanding of database design concepts and basic programming constructs such as looping and branching, will help you get even more out of this course. The following courses are helpful but not required: Google Analytics: Foundation (Second Edition) Database Design: A Modern Approach Microsoft Excel for Office 365: Data Analysis with Power Pivot or Microsoft Office Excel 2019: Data Analysis with Power Pivot Data Analysis and Visualization with Microsoft Excel

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