Microsoft Power BI Certification (PL-300)

To sit for the PL-300 exam and get Microsoft Power BI Data Analyst Associate Certification, you need to understand these key components of Power BI are given as below: 

• Power Query – One of the most important components of Power BI, Power Query can be used as a component of Power BI Desktop or Excel. You can delete or extract data from various databases, such as Oracle, SQL Server, MySQL, etc. and fetch data from text, CSV, or Excel files. It uses Power Query M Formula language. 
• Power Pivot – This data modeling and calculation engine can be used for data modeling, be it simple or complex. Set or create relationships between various tables to view the result on Pivot tables. It uses Data Analysis Expression (DAX). 
• Power View – It is Power BI’s fundamental data visualization component. Power View interacts with various data sources to filter and retrieve metadata for data analysis. You can highlight specific parts or components in Power View’s generated reports to show you a different result. 
• Power Map – If you want to visualize geospatial data in a 3D mode, Power Map is what you are looking for. While one attribute is assumed as the column length, another attribute is considered as a heatmap view from the data you highlight. This component uses Bing Maps to best visualize geographical locations. 
• Power Q&A – A language motor for your data model, you can construct your model so that users can get the best possible answers to the questions they ask. This component works with Power View to provide answers to users in the form of a map. For instance, number of customers by state. 
• Power BI Desktop – This new addition to the Power BI suite is an integrated development tool for Power Query, Power Pivot, and Power View. With it, you can build advanced queries, models, and reports.   
• Power BI Website – You can create reports on Power BI and publish or compose them directly on the Power BI Website. Once published, you can share the reports with others. You can even make changes to the data online using a web browser. 
• Power BI Mobile Apps – These use three mobile operating systems (OS) providers – Android, OS, and Windows for an interactive view of reports and dashboards on the Power BI suite or on your mobile app version. 

There are 10+ data visualization tools that you can access and hone your Power BI skills in at upGrad KnowledgeHut’s Microsoft Power BI training for beginners course.

Here are the types of visualization you can create using Power BI:

• Area charts – Basic (Layered) and Stacked
• Bar and column charts
• Cards
• Combo charts
• Decomposition tree
• Doughnut charts
• Funnel charts
• Gauge charts
• Key influencers chart
• KPIs
• Line charts
• Maps – basic, ArcGIS, Azure, Filled, Shape
• Matrix
• Pie charts

• Power Apps visual
• Q&A visual
• R script visuals
• Ribbon chart
• Scatter – Scatter, bubble, high-density and dot plot charts
• Slicers
• Smart narrative
• Standalone images
• Tables
• Treemaps
• Waterfall charts

You can stream real-time data from several devices and sources, such as factory sensors, social media sources, service usage metrics, and other types of data collecting devices and transmitters. You can display the data on real-time dashboards using Push, Streaming, and PubNub semantic models. Worried how to know what those are and if you can sync real-time data to these models for dashboard visualization? If you want to understand and utilize these tools effectively through real-world simulations, our Microsoft Power BI training course online has industry experts with several years of experience to help you. These work-like environments will help you mitigate any challenges later at work. 

Yes, Power BI has a Natural Language Query (NLQ) feature. This allows users to make queries in plain or conversational language and get solutions in visual formats, like tables. This helps all users, whether technically capable or challenged, to understand and interact with their data better. Our Microsoft Power BI course training helps you as a user understand the various features of Power BI so that you are prepared to maximize the data visualization tool’s components and capabilities to the fullest at work. 

You can integrate Power BI with Microsoft 365 apps, such as Teams, Excel, Outlook, and PowerPoint for a collaborative digital environment. Unlike other Power BI fundamentals certification courses, our upGrad KnowledgeHut course will equip you with practical knowledge on integrating Power BI with different platforms to create, collaborate, share reports and dashboards.

There are multiple Microsoft Power BI features. The top features are as following:

• Analytics and Data Management
• Quick Insights
• Ask a Question
• Intuitive Reports
• Azure Machine Learning Integration
• Data Analysis Expression
• Real-time Data Analysis
• Visualization and Reporting
• Real-Time Dashboards
• Templates
• Security
• Data Encryption

You might attend any Power BI training course online, but it is advisable to have trained instructors taking you through these features. Keeping that in mind, our Microsoft Power BI course at upGrad KnowledgeHut has renowned industry experts providing learners real-world tips and tricks on efficiently utilizing these features.

Most Microsoft Power BI online courses will provide you with only the theoretical knowledge of the data visualization tool. You need to have a simulated environment to practice and test your grasp of concepts before you start working with the tool at work. Our Power BI certification course provides 3 real-world capstone projects, 38 hands-on exercises, and 255 assessment questions to facilitate practical learning.

You need to find a reliable knowledge partner that will keep you abreast of the latest Power BI features and keep updating their curriculum. At upGrad KnowledgeHut, our training experts strive to provide you with the latest updates. That’s why we have our curriculum aligned with Microsoft’s Power BI Data Analyst (PL-300) Exam. Our industry experts prepare you to not only for the exam but also apply your knowledge in the real-world once you get the Power BI course certificate.

You will learn how to utilize Power BI for data extraction, storage, reporting, cleaning, loading from different data sources at our upGrad KnowledgeHut course. Our curriculum is aligned to Microsoft’s Power BI Data Analyst Certification (PL-300) exam. Once you complete our upGrad KnowledgeHut course, you will be a job-ready Power BI professional.

The Power BI online course conducted by upGrad KnowledgeHut is for 24 hours. It can span 8 hours each for 3 days. This format might change over time depending on the availability of session slots and trainers. These sessions will be led by industry-leading instructors and experts.

You will learn the following in our Microsoft Power BI training at upGrad KnowledgeHut: 

• Get Data from Data Sources - Learn to identify and connect to diverse data sources, modify settings, and choose between datasets. 
• Clean the Data - Learn to evaluate data statistically, resolve inconsistencies, and address data import errors. 
• Transform and Load the Data - Learn to handle data efficiently by refining queries, designing star schemas, and more. 
• Design and Implement a Data Model - Learn to implement role-playing dimensions, define relationship cardinality, and more. 

• Create Model Calculations Using DAX - Gain expertise in developing and implementing aggregation measures, time intelligence measures, and more. 
• Optimize Model Performance - Learn performance optimization techniques such as utilizing Performance Analyzer and selecting optimal data types. 
• Create Reports - Identify, implement, and optimize visualizations for impactful data presentation and leveraging custom themes. 
• Enhance Reports - Create engaging and user-friendly reports by configuring interactive navigation and using other techniques. 
• Identify Patterns - Utilize Power BI's Analyze feature, grouping, binning, clustering, and AI visuals for insightful data analysis. 

After completing the Microsoft Power BI training at upGrad KnowledgeHut, you will acquire the following skills: 

• Get Data from Data Sources - Learn to identify and connect to diverse data sources, modify settings, and choose between datasets. 
• Clean the Data - Learn to evaluate data statistically, resolve inconsistencies, and address data import errors. 
• Transform and Load the Data - Learn to handle data efficiently by refining queries, designing star schemas, and more. 
• Design and Implement a Data Model - Learn to implement role-playing dimensions, define relationship cardinality, and more. 
• Create Model Calculations Using DAX - Gain expertise in developing and implementing aggregation measures, time intelligence measures, and more. 
• Optimize Model Performance - Learn performance optimization techniques such as utilizing Performance Analyzer and selecting optimal data types. 
• Create Reports - Identify, implement, and optimize visualizations for impactful data presentation and leveraging custom themes. 
• Enhance Reports - Create engaging and user-friendly reports by configuring interactive navigation and using other techniques. 
• Identify Patterns - Utilize Power BI's Analyze feature, grouping, binning, clustering, and AI visuals for insightful data analysis. 

You can enroll through our website. Just follow the registration process, which includes a step-by-step guide and payment details.

You’ll have access to expert instructors for guidance, a dedicated support team for technical and administrative queries, and a peer group for collaborative learning and support.

The course covers all key areas of the PL-300 exam, with practical exercises and revision sessions designed to prepare you thoroughly for the exam.

No, coding is not required to use Power BI effectively. Power BI Desktop provides a drag-and-drop interface for data modeling and visualization. However, knowledge of Data Analysis Expressions (DAX) and Power Query (M) can be beneficial for advanced analytics, custom calculations, and automating reports. Additionally, ETL processes and data transformation can be enhanced with DAX functions.

Power BI surpasses Excel in several ways:

• Scalability: Power BI can handle large datasets more efficiently than Excel.
• Advanced Visualizations: Power BI provides interactive dashboards and data visualization best practices.
• Automation: Power BI supports real-time updates and ETL processes for automated reporting.
• Collaboration: Power BI Service and Power BI Mobile App enable better sharing and collaboration compared to Excel.
• Embedded Analytics: Power BI allows data embedding in applications using Power BI embedded analytics.

To earn the PL-300 Microsoft Power BI Data Analyst Certification, follow these steps:

1. Learn the fundamentals of Power BI Desktop, data modeling, DAX functions, and report building.
2. Gain hands-on experience with real-world case studies and ETL processes.
3. Enroll in a structured course covering Power BI Service, data connectors, and data transformation techniques.
4. Take mock tests and practice Power BI exam requirements.
5. Schedule and pass the PL-300 exam, a 100-minute proctored test.

Power BI Certification Cost and Exam Requirements

The Microsoft Power BI certification cost varies by region but generally ranges between $165 - $225 USD. Candidates must demonstrate proficiency in:

• Data Transformation: Using Power Query to clean and shape data.
• Data Modeling: Creating relationships, hierarchies, and calculated columns.
• Data Visualization: Designing interactive dashboards and Power BI reports.
• Report Building: Publishing and sharing reports via Power BI Service and Power BI Report Server.

By preparing effectively with real-world project simulations and case studies, professionals can master business intelligence (BI) concepts and significantly improve their job prospects in the growing field of data analytics.

The Power BI training curriculum covers everything from data preparation to advanced analytics, ensuring a strong foundation in business intelligence (BI). You’ll start with Power Query for ETL processes, followed by data modeling techniques and DAX language for complex calculations. Learn to create Power BI reports and interactive dashboards, integrating Python, Machine Learning, and SQL for deeper insights. Advanced topics include Power BI Service integration, mobile BI strategies, M Language automation, and a final project to apply your skills. This structured learning path equips you with hands-on expertise to master Power BI.