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Data Extract, Transform, and Load in Power BI
Master the ETL process in Power BI to set up data sources, transform data, and ensure data integrity for effective business analysis and visualization.
Course Cost
Free course
Beginner
Skill Level
18 Hours
Self-paced lessons
This comprehensive course teaches you the Extract, Transform, and Load (ETL) process in Microsoft Power BI. You'll learn how to identify and configure multiple data sources in Power BI, including flat files and structured/unstructured data. The course covers essential skills for data preparation, such as cleaning and transforming data using Power Query, working with columns, handling errors, and combining data through append and merge operations. You'll master data profiling techniques to ensure data integrity and learn advanced features like reference queries, dataflows, and using the Advanced Editor to modify code. Through hands-on exercises and practical projects, you'll gain the expertise needed to prepare clean, reliable data for visualization and analysis, enabling you to create meaningful business insights from diverse data sources.
What you'll learn
Set up and configure multiple data sources in Power BI
Understand and implement different storage modes
Clean and transform data effectively using Power Query
Work with columns to organize and format data properly
Handle data errors and anomalies through profiling tools
Pivot and unpivot data for better analysis
Combine data from multiple sources using append and merge operations
Implement advanced ETL features including reference queries and dataflows
Skills you'll gain
This course includes:
2.9 Hours PreRecorded video
19 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This course provides a comprehensive exploration of the Extract, Transform, and Load (ETL) process in Microsoft Power BI. The curriculum is structured to guide students through each phase of the data preparation workflow. In the first module, students learn about different data sources in Power BI, including how to set up flat data sources, understand storage modes, and work with both structured and unstructured data. The second module focuses on data transformation using Power Query, covering essential techniques such as column manipulation, error handling, pivoting/unpivoting, and combining data through append and merge operations. The third module advances to more complex ETL concepts, including data profiling to identify anomalies, working with reference queries and dataflows, and using the Advanced Editor for code modification. Throughout the course, students engage in hands-on exercises and projects that reinforce practical skills for preparing clean, reliable data that can be used for effective business analysis. The final module includes a comprehensive project where students apply their knowledge to transform multiple data sources, providing real-world experience in the complete ETL process.
Data Sources in Power BI
Module 1 · 5 Hours to complete
Transforming Data in Power BI
Module 2 · 6 Hours to complete
Advanced ETL in PowerBI
Module 3 · 4 Hours to complete
Graded Assessment and Course wrap up
Module 4 · 3 Hours to complete
Fee Structure
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Faculties
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Frequently asked Questions
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