Solution: PL-300 , the ideal place to begin is with the Microsoft Power BI Data Analyst Certification Training Course. You will be able to develop models and do data analysis with the help of Power BI after completing this course. You will get access to all of the resources that are necessary for you to be successful in the course, which is taught by professionals who have many years of expertise in the subject. Sign up now to start your career as a data analyst and get the ball rolling on your route to success.

Course Prerequisites:

Candidates for the PL-300 Exam Microsoft Power BI Data Analyst course should have worked with Microsoft Windows and associated products professionally for at least one to two years.

• Training in AZ-900: Microsoft Azure Fundamentals is highly recommended for any applicant who is unfamiliar with the cloud and Azure.

• Training in DP-900: Microsoft Azure Data Fundamentals is suggested for those with no experience managing data solutions or Azure.

• Training in PL-900: Microsoft Power Platform Fundamentals is suggested, but not required, for any applicant interested in expanding their knowledge of the Microsoft Power Platform.

Key Features of PL-300 Exam Microsoft Power BI Data Analyst: 

• Learn the fundamentals of Microsoft Power BI with a free one-hour taster of the full PL-300 course.

• The world over, top-notch Microsoft Power BI lecturers are available.

• Expert-created and Microsoft-approved PL-300 study guides.

• Learn by doing in Microsoft lab sessions.

• Provided is a certificate valid in the industry attesting to the successful completion of the PL-300 course.

• Over a hundred different countries across the world offer PL-300 courses.

• Workshop for Data Analysts in Microsoft Power BI (PL-300).

Who is eligible to participate in the PL-300 Exam Microsoft Power BI Data Analyst Training Course?

Training in Microsoft Power BI Data Analyst may be obtained for a variety of job categories, including but not limited to the following

• Professionals in the Field of Business Intelligence

• Data analysts

• IT Managers and Directors

• Those who work professionally using Power BI.

• Data Scientists

• Experts in the Management of Data for the Purpose of Decision-making

• People who are interested in gaining a comprehensive comprehension of the Microsoft Power BI Tool

• Those in the working world who are interested in passing the Microsoft Power BI Data Analyst PL-300 test

The following is a list of the learning objectives that will be covered in the PL-300 Microsoft Power BI Data Analyst Training:

Participants in this PL 300 certification workshop will gain knowledge on the following points:

• Taking in data, cleaning it up, and then converting it.

• Building a model of the data to improve its performance and scalability.

• Developing and putting together reports in preparation for data analysis.

• Putting sophisticated report analytics into practice and executing them.

• Managing report assets and collaborating on them.

• Using Power BI to create reports with pagination.

The following are some of the advantages of enrolling in the Microsoft Power BI Data Analyst PL-300 Training:

• Training for the highly regarded PL 300 certification, presented by an expert in Microsoft, is available here.

• Through participation in this PL-300 course, you will get a comprehensive grasp of evaluating data assets using Microsoft Power BI.

• To help you pass the PL 300 test, our knowledgeable Power BI experts will guide you through hands-on labs.

• Gaining a Microsoft Certified: Data Analyst Associate certification will allow you to broaden the scope of your work.

• To get an understanding of how data analysis is carried out, you will have the opportunity to collaborate with other people who are similarly interested and who come from a variety of industrial sectors.

Microsoft Power BI Data Analyst PL-300 Exam Format

Course Outline for the Microsoft Power BI Data Analyst PL-300 Certification Course The following points will be covered in the Microsoft Power BI Data Analyst PL-300 Certification Course:

Make Preparations to the Data (15–20%):

• Getting data from multiple data sources.

• In addition to data cleaning and transformation, we will load the data.

Create a Model of the Data (30–35%):

• Designing a data model.

• Developing a data model.

• Utilizing DAX in order to create calculations for models.

• Optimizing model performance.

Create a Visualization and Conduct an Analysis of the Data (25-30%):

• Putting together reports.

• Making use of dashboards.

• Increasing the readability and narrative potential of reports.

• Identifying patterns and trends.

Implementation and Maintenance of Assets (20-25%):

• Managing your many datasets and files.

• Controlling the use of workplaces.

You are going to learn:

Module 1:Beginning Your Journey with Microsoft Data Analytics is Covered:

• Both Data Analytics and Microsoft were mentioned.

• Beginning Your Adventure with Power BI.

• Lab: Getting Started with Power BI Desktop.

Module 2: Getting Your Data Ready for Power BI:

• Get data from numerous data sources.

• Lab: Preparing Data with Power BI Desktop.

Module 3: Power BI Teaches You How to Clean, Transform, and Load Data:

• Data shaping.

• Improve the organisation of the data.

• Data Profiling.

• Using Power BI Desktop to Perform Data Transformations and Loads (Lab).

Module 4: The fourth module will teach you how to design a data model in Power BI:

• Introduction to data modelling.

• Using several tables in one's work.

• Dimensions and Hierarchies.

• Lab: Data Modeling with Power BI Desktop.

Module 5: Teaches you how to use DAX to create model calculations in Power BI:

• DAX: a brief introduction.

• DAX context.

• DAX Plus (advanced).

• Exercise: Advanced DAX in the Power BI Desktop Environment.

• This lab will provide an introduction to DAX in Power BI Desktop.

Module 6: Optimize Model Performance in Power BI, which is the point:

• Improve the functioning of the model via optimization.

• Improve the performance of DirectQuery Models.

• Make aggregates and take care of their management.

Module 7: Create Reports in Power BI, which is the point:

• Design a report.

• Improve upon the report.

• Lab: Designing a report in Power BI Desktop.

• Lab: Improving reports in Power BI Desktop by including interactivity and formatting.

Module 8: Createe Dashboards in Power BI:

• Make yourself a dashboard.

• Dashboards that update in real time.

• Improve the look of a Dashboard.

• Lab: Developing a Dashboard using Microsoft Power BI Service.

Module 9: Enhancing reports in Power BI for accessibility and narrative is the focus:

• A summary of the paginated report.

• Generate reports with pagination.

• In this lab, we will create a paginated report using Power BI Desktop.

Module 10: Advanced Analytical Tasks in Power BI are Covered:

• Superior Analytical Capabilities.

• Insights on the data provided by AI visuals.

• Lab: Data Analysis with Power BI Desktop.

 Module 11: Managing Datasets in Power BI is the point:

• Parameters

• Datasets

• Protection inside Power BI

Module 12: Workspace Creation and Management in Power BI is the point:

• Developing Areas for Work.

• Sharing and Managing Assets.

• Publishing and Distributing Content Utilizing Power BI Lab.