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.
Master the ETL process in Power BI to set up data sources, transform data, and ensure data integrity for effective business analysis and visualization.
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.
Instructors:
English
Video subtitles available
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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
Skills you'll gain
This course includes:
2.9 Hours PreRecorded video
19 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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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
Instructor
Empowering Individuals and Organizations Through Technology
Microsoft's mission is "to empower every person and every organization on the planet to achieve more," reflecting its commitment to leveraging technology for global empowerment. The company aims to drive digital transformation through an integrated cloud approach, creating a robust platform that enhances productivity and accessibility for users worldwide. Its vision statement emphasizes the goal of democratizing artificial intelligence, ensuring that AI technologies are accessible and beneficial for everyone. This focus on empowerment and inclusivity underpins Microsoft's strategies and product development, positioning it as a leader in innovation within the technology sector. The company has consistently pursued excellence by fostering a culture of innovation, diversity, and corporate social responsibility, ultimately aiming to improve quality of life and facilitate progress across various fields, including education, healthcare, and business.
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Frequently asked questions
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