Through this Power BI Data Analyst certification training, participants will learn about creating actionable insights by leveraging various data sets and then building data models using the Power BI tool.
DurationCourse Overview
PL-300 Microsoft Power BI Data Analyst course was formerly known as DA-100 Analyze Data with Microsoft Power BI Training. Through this Power BI Data Analyst certification training, participants will learn about creating actionable insights by leveraging various data sets and then building data models using the Power BI tool.
Participants who wish to take up the PL-300 exam should have knowledge of Power Query and writing expressions using DAX. Check out the dates below to enroll for this PL 300 Microsoft Power BI Data Analyst course today.
Who can take up Microsoft Power BI Data Analyst Certification Training?
Job roles that can take up Microsoft Power BI Data Analyst certification training include, but are not limited to:
Business Intelligence Professionals
Data analysts
IT Managers
Professionals who use Power BI
Data Scientists
Professionals Managing Data for Decision-making
Individuals who want to gain a clear understanding of the Microsoft Power BI Tool
Professionals who want to clear the Microsoft Power BI Data Analyst PL-300 examination
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This course covers the theory, design, and application of scientific and information visualization, including algorithm design and implementation.
AcademyX's Power BI training will enable you to leverage Microsoft's powerful cloud-based Business Intelligence platform to analyze and visualize data.
Through the program, participants will gain hands-on experience in the entire ML spectrum, including data wrangling, visualization, data exploration, algorithm selection, modeling, training, testing, and implementation.
Upon successful completion of this course, students will be able to: Navigate in Power BI Desktop View and Understand Data Models
Learn about business intelligence tips, data analysis, data modeling, shaping, query editor, visualizations, charting data, data anlaysis expressions, DAX, filtering reports, slicing reports, dashboards.
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