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You will explore Power Query as you learn to extract data from different data sources and choose a storage mode and connectivity type. You will learn to profile, clean, and load data into Power BI in preparation for modeling your data.
This learning path can help you prepare for the Microsoft Certified: Data Analyst Associate certification.
This learning path helps prepare you for Exam PL-300: Microsoft Power BI Data Analyst.
Prerequisites:
You will learn how to retrieve data from a wide variety of data sources, including Microsoft Excel, relational databases, and NoSQL data stores. You will also learn how to improve performance while retrieving data.
Learning objectives:
By the end of this module, you’ll be able to:
Prerequisites:
Q1. What type of expression do you use to extract data from Microsoft SQL Server?
Q2. You’re creating a Power BI report with data from an Azure Analysis Services Cube. When the data refreshes in the cube, you would like to see it immediately in the Power BI report. How should you connect?
Q3. What can you do to improve performance when you’re getting data in Power BI?
Power Query has an incredible amount of features that are dedicated to helping you clean and prepare your data for analysis. You will learn how to simplify a complicated model, change data types, rename objects, and pivot data. You will also learn how to profile columns so that you know which columns have the valuable data that you’re seeking for deeper analytics.
Learning objectives:
By the end of this module, you’ll be able to:
Prerequisites:
Q1. What is a risk of having null values in a numeric column?
Q2. If you have two queries that have different data but the same column headers, and you want to combine both tables into one query with all the combined rows, which operation should you perform?
Q3. Which of the following selections are not best practices for naming conventions in Power BI?
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This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.
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