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Data Preparation and Management for Microsoft Power BI
This course is part of Microsoft Data Visualization Professional Certificate.
Course Cost
Free course
Beginner
Skill Level
15 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Microsoft Data Visualization Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Connect to and configure various data sources in Power BI Transform raw data using Power Query's advanced features Apply ETL (Extract, Transform, Load) processes to prepare data for analysis Clean and correct errors in datasets to ensure data quality Combine multiple data sources through appending and merging techniques Configure optimal data storage settings for improved performance Create structured data models ready for visualization Complete real-world data preparation projects
Skills you'll gain
This course includes:
17 Hours PreRecorded video
20 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
Data Preparation and Management equips learners with essential skills for effective data handling in Microsoft Power BI. The course covers connecting to various data sources, cleaning and transforming raw data, and optimizing data storage for analysis. Students learn practical Extract, Transform, Load (ETL) techniques through hands-on exercises using Power Query. The curriculum emphasizes real-world applications, teaching students how to handle errors, combine multiple data sources, and ensure data quality. By course completion, learners can confidently prepare data for visualization, creating a solid foundation for building powerful reports and dashboards in Power BI.
Data sources
Module 1 · 6 Hours to complete
Data transformation
Module 2 · 4 Hours to complete
Data storage and processing
Module 3 · 2 Hours to complete
Final project and assessment: Data Preparation and Management
Module 4 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Microsoft Data Visualization Professional Certificate
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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