This class will cover the basics of PySpark, a language for working with big data on Databricks. You will learn how to read and write data from different sources, how to work with numerical and string data, how to use data frames for data manipulation and analysis, and how to clean and transform data and handle null values. This class will help you get familiar with the PySpark language and its capabilities for data engineering and analysis.
Curriculum
9 Sections
0 Lessons
5 Hours
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01. Introduction and Prerequisites for Power BI
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02. Access and Prepare Data for Power BI Desktop
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03. Build Your First Data Model and Explore the Data by Using Power BI
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04. Use Hierarchies and DAX in Your First Data Model
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05. Data Visualization and Reports in Power BI
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06. Import Custom Visuals and Add Bookmarks to a Report in Power BI
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07. Publish and Access Reports in Power BI Service
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08. Interact, Share, and Collaborate Power BI Dashboards