Remote Course for PL-300: Microsoft Power BI Data Analyst

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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

Our students for 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