Power BI Data Analyst Associate Prep

Instructors: Skill-Up EdTech Team +1 more

What you'll learn

  •   Describe how to prepare data for analysis by transforming, configuring, cleaning, and shaping it using Power BI.
  •   Discuss the creation of data models in Power BI using a data model framework and Data Analysis Expressions (DAX) functions.
  •   Explain how to design visually appealing reports using data visualization strategies in Power BI and perform data analytics using Analyze feature.
  •   Examine how to create workspace, design interactive dashboards, and safeguard the data by configuring row-level security for datasets in Power BI.
  • Skills you'll gain

  •   Dashboard
  •   Data Cleansing
  •   Data Management
  •   Data Security
  •   Data Visualization
  •   Data Analysis
  •   Data Manipulation
  •   Data Analysis Expressions (DAX)
  •   Data Import/Export
  •   Analytics
  •   Data Transformation
  •   Data Visualization Software
  •   Power BI
  •   Data Modeling
  • There are 3 modules in this course

    By the end of this course, you will be able to: - Describe how to prepare data for analysis by transforming, configuring, cleaning, and shaping it using Power BI. - Discuss the creation of data models in Power BI using a data model framework and Data Analysis Expressions (DAX) functions. - Explain how to design visually appealing reports using data visualization strategies in Power BI and perform data analytics using Analyze feature. - Examine how to create workspace, design interactive dashboards, and safeguard the data by configuring row-level security for datasets in Power BI. The PL-300 exam is intended for data professionals who want to collaborate closely with business stakeholders, enterprise data analysts, and data engineers to identify and acquire data, transform the data, create data models, visualize data, and share assets using Power BI. Having experience with data analysis, reporting, Power BI, proficiency in writing expressions by using Data Analysis Expressions (DAX), and understanding how to assess data quality is a must.

    Data visualization and analysis in Power BI

    Assets deployment and maintenance

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