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  • Description
  • Content
  • Target Audience
  • Certificates

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.

The course will show how to access and process data from a range of data sources including both relational and non-relational sources.

Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

LEARNING PATH 1
Get started with Microsoft data analytics

  • Module 1: Discover data analysis
  • Module 2: Get started building with Power BI

 

LEARNING PATH 2
Prepare data for analysis with Power BI

  • Module 1: Get data in Power BI
  • Module 2: Clean, transform, and load data in Power BI

 

LEARNING PATH 3
Model data with Power BI

  • Module 1: Describe Power BI Desktop models
  • Module 2: Choose a Power BI model framework
  • Module 3: Design a semantic model in Power BI
  • Module 4: Write DAX formulas for Power BI Desktop models
  • Module 5: Add measures to Power BI Desktop models
  • Module 6: Add calculated tables and columns to Power BI Desktop models
  • Module 7: Use DAX time intelligence functions in Power BI Desktop models
  • Module 8: Optimize a model for performance in Power BI
  • Module 9: Enforce Power BI model security

 

LEARNING PATH 4
Build Power BI visuals and reports

  • Module 1: Scope report design requirements
  • Module 2: Design Power BI reports
  • Module 3: Configure Power BI report filters
  • Module 4: Enhance Power BI report designs for the user experience
  • Module 5: Perform analytics in Power BI
  • Module 6: Create paginated reports

 

LEARNING PATH 5
Manage workspaces and datasets in Power BI

  • Module 1: Create and manage workspaces in Power BI
  • Module 2: Manage semantic models in Power BI
  • Module 3: Create dashboards in Power BI
  • Module 4: Implement row-level security

The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI.

This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Microsoft Certified: Power BI Data Analyst Associate after successful completion of the Exam PL-300: Microsoft Power BI Data Analyst

Description

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.

The course will show how to access and process data from a range of data sources including both relational and non-relational sources.

Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Content

LEARNING PATH 1
Get started with Microsoft data analytics

  • Module 1: Discover data analysis
  • Module 2: Get started building with Power BI

 

LEARNING PATH 2
Prepare data for analysis with Power BI

  • Module 1: Get data in Power BI
  • Module 2: Clean, transform, and load data in Power BI

 

LEARNING PATH 3
Model data with Power BI

  • Module 1: Describe Power BI Desktop models
  • Module 2: Choose a Power BI model framework
  • Module 3: Design a semantic model in Power BI
  • Module 4: Write DAX formulas for Power BI Desktop models
  • Module 5: Add measures to Power BI Desktop models
  • Module 6: Add calculated tables and columns to Power BI Desktop models
  • Module 7: Use DAX time intelligence functions in Power BI Desktop models
  • Module 8: Optimize a model for performance in Power BI
  • Module 9: Enforce Power BI model security

 

LEARNING PATH 4
Build Power BI visuals and reports

  • Module 1: Scope report design requirements
  • Module 2: Design Power BI reports
  • Module 3: Configure Power BI report filters
  • Module 4: Enhance Power BI report designs for the user experience
  • Module 5: Perform analytics in Power BI
  • Module 6: Create paginated reports

 

LEARNING PATH 5
Manage workspaces and datasets in Power BI

  • Module 1: Create and manage workspaces in Power BI
  • Module 2: Manage semantic models in Power BI
  • Module 3: Create dashboards in Power BI
  • Module 4: Implement row-level security
Target Audience

The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI.

This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Certificates

Microsoft Certified: Power BI Data Analyst Associate after successful completion of the Exam PL-300: Microsoft Power BI Data Analyst

Past experiences

What people say about us

  • - Viktorija Georgieva Summer Mentorship Program for Python Develope

    The reputation of Semos Education for quality training and the opportunity to learn from experienced instructors played an additional significant role in my decision.

  • - Borche Peltekovski Accredited Academy for Graphic Design

    After completing my studies at Semos Education, I envision myself working in a technology company, such as Samsung, Apple, or a company of similar caliber.

Meet the instructors

  • Dejan Vakanski  

    Microsoft Certified Trainer

    Data Consultant,

    Data Scientist @Semos Education

     

    22+ years of experience

  • Zoran Kimov  

    Microsoft Certified Trainer

    Data Analyst @Semos Education

     

    12+ years of experience

  • MSc Elena Dimovska  

    Microsoft Certified Trainer

    Msc in finance, economy, and banking,

    Specialist for Data Analysis @Semos education

     

    15+ years of experience

  • Ljupcho Tasevski  

    Microsoft Certified Trainer

    Senior Database Administrator @Netcetera

     

    10+ years of experience

  • Ivan Tanevski  

    Microsoft Certified Trainer

    Data coordinator @EOS Matrix Macedonia

     

    3+ years of experience

  • Verica Manevska  

    Microsoft Certified Trainer

    Data analyst/Power BI Developer @iborn.net

     

    12+ years of experience

  • Simka Janevska  

    Microsoft Certified Trainer

    Data and Analytics Engineer @Qinshift

     

    1+ years of experience