Power Automate Training
Course Price: Original price was: $600.00.$500.00Current price is: $500.00.
Course Price
Original price was: $1,500.00.$1,250.00Current price is: $1,250.00.
17% OFF. Expires in
PL-300: Microsoft Power BI Certification Training
PL-300: Microsoft Power BI Certification Training 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. PL-300 provides 10 GitHub labs throughout the course. The labs guide the students through the process from getting connected to their data source and creating a report in Power BI Desktop to securing and distributing their reports in Power BI service. The most complex labs are usually DAX and understanding the differences in Power BI service.
The audience for this course PL-300: Microsoft Power BI Certification Training is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted at those individuals who develop reports that visualize data from the data platform technologies that exist both in the cloud and on-premises. This course will prepare you for the Microsoft Certification Exam Microsoft Certified: Power BI Data Analyst Associate. Candidates for the PL-300: Power BI Data Analyst exam should have a strong understanding of data relationships and analysis. Candidates should also have experience creating formulas to create data points and visualizing the data, often using Microsoft Excel.
Who is this PL-300: Microsoft Power BI Certification Training for?
For Professionals
The course is ideal for data analysts, business intelligence (BI) professionals, and data professionals
For Businesses
This course is ideal for organizations to offer to their employees responsible for creating reports, dashboards, and managing data assets to drive business decisions.
Prerequisites for the “PL-300: Microsoft Power BI Certification Training” Course
Before attending this course, students should have:
- Familiarity with data analysis principles and cloud data experience.
- Familiarity with using Microsoft Power BI
- Ability to prepare data
- Data modeling skills
- Experience creating reports and dashboards
- Understanding of data concepts
Key Features of Flexmind's PL-300: Microsoft Power BI Certification Training
We are an authorized Microsoft Training Services Partner delivering Classroom and Virtual Instructor-Led training for PL-300: Microsoft Power BI Certification Training course. We provide a dynamic learning environment designed to foster problem-solving through real-time, interactive use cases. As a Microsoft Training Services Partner, we provide a syllabus designed to meet the latest industry requirements and best practices.
Course Duration
The duration of the entire course is 3-Days (24-Hours).
Instructor-Led Training
Our facilitators are Microsoft Certified Trainers (MCTs) with extensive experience and deep subject knowledge. They actively encourage questions and promote brainstorming during classes.
Microsoft Official Courseware
Microsoft-approved content with exercises and real-world examples.
Cloud Lab Access
A real-time cloud practice environment is provided to learners, enabling hands-on experience. It helps enhance practical skills and reinforce learning.
Course Completion Certificate
Flexmind provides learners with a course completion certificate upon successful completion of the program.
This certificate adds value to your resume and enhances your professional profile.
Course Outline
Module 1: Get Started with Microsoft Data Analytics
- Roles in data
- Data analysis tasks
- Building blocks of Power BI
- End-to-end analytics with Microsoft Fabric
- Lab 00 - setup
Module 2: Get Data in Power BI
- Identify and connect to a data source
- Select a storage mode
- Fix performance issues
- Resolve data import errors
- Lab 01 - Get data in Power BI
Module 3: Clean, transform, and load data
- Resolve inconsistencies, unexpected or null values, and data quality issues.
- Apply data shape transformations to columns and table structures.
- Apply user-friendly naming conventions.
- Lab 02 - Clean, transform, and load data in Power BI
Module 4: Configure a semantic model
- Set modeling options
- Create and configure relationships
- Configure table and column properties
- Create hierarchies
- Create quick measures
- Create numeric range and field parameters
- Lab 03 - Configure a semantic model in Power BI
Module 5: Create DAX calculations in semantic models
- Understand DAX concept and syntax
- Create calculated tables and columns
- Create measures
- Use iterator functions
- Lab 04 - Create DAX calculations in semantic models
Module 6: Modify DAX filter context
- Understand filter context
- Use the CALCULATE function to modify filter context
- Use inactive relationships with DAX
- Perform context transition
- Lab 05 - Modify DAX filter context in Power BI
Module 7: Use DAX time intelligence functions
- Create custom date table for time intelligence
- Use DAX time intelligence functions
- Lab 06 - Use DAX time intelligence functions in Power BI
Module 8: Create visual calculations
- Understand visual calculations and how they differ from measures
- Create visual calculations in Power BI Desktop
- Use parameters in visual calculations
- Lab 07 - Create visual calculations in Power BI Desktop
Module 9: Design Power BI reports
- Report structure
- Report objects
- Different visualization types
- Filtering techniques
- Lab 08 - Design Power BI reports
Module 10: Enhance reports for user experience
- Present details and highlight key values
- Build intuitive navigation and app-like experiences
- Enhance user experience using bookmarks, visual headers, and built-in assistance
- Incorporate specialized visuals to meet unique reporting needs
- Lab 09 - Enhance Power BI report design
Module 11: Perform analytics in Power BI
- Use the Analyze feature
- Group, bin, and cluster data
- Identify patterns and trends
- Lab 10 - Perform analytics in Power BI
Module 12: Get started with Copilot in Power BI
- Use Copilot in Power BI during report development
- Prepare semantic models for use with AI
- Interact with data using natural language in Copilot Chat
Module 13: Manage workspaces in Power BI
- Describe the Power BI service and its building blocks
- Create workspaces, assign license modes, and manage access
- Publish reports to the Power BI service
Module 14: Manage semantic models
- Use a Power BI gateway to connect to on-premises data sources
- Configure a scheduled refresh for a semantic model
- Configure incremental refresh settings
- Manage and promote semantic models
- Boost performance with query caching
- Use lineage and impact analysis
Module 15: Choose a content distribution method
- Understand the different content distribution methods available in Power BI
- Create a Power BI app
- Apply data governance principles
- Track a report or dashboard
Module 16: Secure data access in Power BI
- Configure row-level security by using a static method
- Configure row-level security by using a dynamic method
- Lab 11 - Secure data access in Power BI
Class Schedule
Instructor‑Led Training
- 24 Hours of Instructor‑Led Training
- One‑to‑one doubt‑resolution sessions
- Microsoft Official Lab Access
Learning Objectives
Upon successful completion of this course, participants will be able to:
- Prepare and transform data from multiple sources using Power Query, including cleansing, profiling, and shaping data for analysis.
- Design and implement efficient data models, including relationships, star schema concepts, and performance optimization techniques.
- Create calculated measures and columns using DAX to support business calculations and analytical requirements.
- Develop interactive and insightful reports and dashboards using Power BI visualizations, filters, and advanced formatting features.
- Analyze data and uncover insights using built-in analytics features, AI visuals, and report interactions.
- Deploy, manage, and secure Power BI assets, including datasets, workspaces, and sharing strategies in the Power BI Service.
- Apply best practices for governance, performance, and usability in enterprise Power BI solutions.
- Demonstrate readiness for the PL-300 certification exam by aligning practical skills with the official Microsoft exam objectives.
About PL-300 Exam
To help you understand the assessment better, here are a few important details about the exam.
| Exam Name | Microsoft Certified: Power BI Data Analyst Associate |
|---|---|
| Who can Apply | Data Analysts, Data Professionals |
| Duration of Exam | 100-120 Minutes |
| Number of Questions | 40-60 |
| Fees | Rs. 4,865 (India), $165 USD (United States) |
| Level of Difficulty | Intermediate |
| Type of Credential | Microsoft Certification |
| Languages | English, Japanese, Chinese (Simplified), German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia) |
| Exam Retake | Exam retake allowed after 24 hours |
| Quality Check during Assessment | The online exam is proctored |
The table below represents the weightage of each study area in the exam. Areas with higher percentages are expected to have more questions.
| Study Area | Percentage |
|---|---|
| Prepare the data | 25-30% |
| Model the data | 25-30% |
| Visualize and analyze the data | 25-30% |
| Manage and secure Power BI | 15-20% |
