In this course, you will learn the process of Extract, Transform and Load or ETL. You will identify how to collect data from and configure multiple sources in Power BI and prepare and clean data using Power Query. You’ll also have the opportunity to inspect and analyze ingested data to ensure data integrity.
Data Extract, Transform, and Load in Power BI
This course is part of Microsoft Power BI and Power Platform for Productivity Specialization
Instructor: Microsoft
Sponsored by Coursera Learning Team
Recommended experience
What you'll learn
How to set up a data source and explain and configure storage modes in Power BI.
How to prepare for data modeling by cleaning and transforming data.
How to use profiling tools to identify data anomalies.
How to reference queries and dataflows and use the Advanced Editor to modify code.
Details to know
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19 assignments
October 2024
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There are 4 modules in this course
In this module, you'll set up data sources and explore the different data source capabilities in Power BI.
What's included
9 videos16 readings5 assignments3 discussion prompts
In this module, you'll practice cleaning and transforming data to prepare for data modeling in later courses.
What's included
13 videos15 readings7 assignments1 discussion prompt
In this module, you'll gain an understanding of the load portion of the ETL process and practice data profiling and advanced queries.
What's included
12 videos12 readings5 assignments1 discussion prompt
In this module, you'll be assessed on the key skills covered in the course.
What's included
2 videos4 readings2 assignments1 discussion prompt
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