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A Detailed Guide to Power BI Syllabus/Curriculum

By Kavita Behera

Updated on Sep 28, 2023 | 9 min read | 4.58K+ views

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Welcome to this blog discussing the Power BI syllabus, where we'll delve into comprehensive exam preparation and offer valuable tips.

Before we dive in, let's understand what Microsoft Power BI is. It stands as a formidable business intelligence tool, providing an end-to-end solution for diverse data needs. This versatile tool handles data extraction, transformation, presentation, and sharing while granting you full control over the information you disseminate. Power BI empowers businesses to make informed, intelligent decisions.

My own Power BI journey began much the same way. I started with free resources, followed by Power BI courses, gaining insights into the syllabus and its components. Through consistent practice and staying updated with the latest developments, I became proficient in creating automated reports and dashboards for my clients. If you're embarking on a similar journey, read on to discover the vast knowledge you can acquire in Power BI.

In the era of growing demand for data analysts, aspiring experts can take their skills to the next level through advanced Power BI courses.

Power BI: Overview

Now, let's have a brief overview of Power BI. Power BI stands as a robust business intelligence tool, empowering users to extract data from various sources, employ Power Query and M-Query for data transformation, engage in data visualization, explore data modeling and relationships, utilize DAX and calculated columns, and facilitate report sharing and embedding. These key areas provide a solid foundation for acquiring new skills and enhancing existing ones.

Types of Power BI

There are three types of Power BI platforms:

  • Power BI Desktop
  • Power BI Services
  • Power BI Mobile

In addition to this, it has a cloud data warehouse to manage the data models for smooth deployment. Power BI is primarily split into these components to implement different capabilities:

1. Power BI Query: Power Query, although integrated into tools like Microsoft Excel, is considered a distinct component. Its primary role is to streamline the collection, cleansing, and transformation of data, automating these processes to save time and allow businesses to focus on critical analysis. Power Query includes the M Query language.

2. Power BI Measures: DAX (Data Analysis Expressions) courses and resources constitute another critical component. DAX is a potent language that empowers users to manipulate data in diverse formats and structures. It efficiently conserves space and enables exploration of multiple data variations.

3. Power BI Report View: Power BI is renowned for its dashboard-building capabilities, thanks to its report pages and drag-and-drop functionality. These features simplify the creation of navigational elements and visuals within a unified canvas.

4. Power BI Maps: Power BI maps stand as a distinct and intricate visualization technique. They are separated from other visuals due to their unique capabilities. Power BI maps accurately plot locations using geographic tags or names, facilitating data detection and visualization.

5. Power BI Q&A: Power BI reports transcend conventional tools. They offer functions and features that can transform them into fully automated reports, akin to using ChatGPT for specific information queries. Through Q&A training, users can transform Power BI into a searchable platform where questions yield immediate answers. Recent AI enhancements suggest the possibility of further innovations in Power BI Q&A.

Benefits of Power BI Certification

Power BI certification courses and Power BI certification training can help you learn the necessary skills to execute the analysis and complete the task. Not only that, but it will increase your industry credibility, which will help you get hired. With Business Intelligence online training, you can prepare yourself for Power BI exams. Let’s check out its benefits:

Power BI certification shows that you understand the tools and are capable of performing the following tasks:

  • Data extraction and transformation: Power BI allows us to extract raw data, correct errors, sort data, and clean the file for faster analysis.
  • Data modeling: It helps you learn how to import datasets from multiple tables and create connections between them for seamless analysis.
  • Visualization: One of the critical parts is when all your data is set up and ready. Use it to present the key details and analysis.
  • Publish the report and Power BI service: Once the report is ready, the next step is to publish the report on Power BI Services for sharing and collaboration. The Power BI service involves learning about tenant settings, data privacy, sharing, and workspace management.

Along with this, these certifications also help you establish your expertise. Obtaining a Power BI certification signifies your position within the Power BI community as someone who comprehends and is proficient in executing the diverse roles and functions of the Power BI tool.

Power BI Syllabus/Curriculum

The Power BI syllabus is designed in such a way that it will cover the entire course and help you become a Power BI user. Power BI courses are generally divided into levels, where each increasing level defines the level of difficulty.

To get started with Power BI, you must first understand the different stages. Here is the course structure that will cover everything you need to know about Power BI.

Power BI Course Syllabus

Level 1: Get started with Power BI

  • Understanding the fundamentals of Power BI
  • Exploring the Power BI ecosystem: Desktop, Service, Mobile
  • Learn about Power BI capabilities
  • Import data from different data source
    • Excel
    • SQL
    • Dataverse
    • Web

Level 2: Data Transformation

  • Basic transformation
    • Use the first row as a header
    • Remove row
    • Change type
    • Add new columns
  • Add conditional columns
  • Unpivot the data
  • Remove blank/null values
  • Learn about best practices for data cleaning
  • Start exploring M Query language

Level 3: Data Modeling

  • Create relationships between multiple tables
  • Learn one-to-many, one-to-one, many-to-many and other joins
  • Understand cross-filtering relationships from one side or both sides

Level 4: Creating Visualizations

  • Building basic visualizations: charts, graphs, tables
  • Learn formatting tab and design options
  • Implementing interactive elements using filters and slicers
  • Create maps in Power BI

Level 5: Advanced Visualization Techniques

  • Use bookmark, drill-down, edit interaction
  • Mastering the art of storytelling through data
  • Practice custom or advanced visuals
  • Implementing drill-through functionalities

Level 6: Power BI Service and Collaboration

  • Publishing reports to the Power BI service
  • Creating and sharing dashboards
  • Create a workspace and convert the report into a dashboard
  • Publish an App using the Power BI report
  • Managing data refresh schedules

Level 7: DAX and Measures

  • Using Quick measures
  • Create calculated columns
  • Creating calculated measures with DAX
  • Understand filter context.
  • Implementing time intelligence functions

Level 8: Performance Optimization

  • Looks for best practices
  • Improve performance by reducing queries
  • Optimizing DAX time with a performance analyzer
  • Format data, group the columns
  • Custom formatting and grouping selections

Level 9: Real-World Projects and Best Practices

  • Practice top Power BI projects
  • Designing end-to-end solutions using Power BI
  • Optimizing performance and data refresh strategies

Level 10: Data Governance and Compliance

  • Understanding data security and compliance features
  • Implementing row-level security
  • Auditing and monitoring Power BI usage
  • Applying GDPR and other regulatory considerations

Level 11: Power BI Premium and Premium Per User

  • Exploring Power BI Premium features
  • Deployment options: Cloud, On-Premises, Hybrid
  • Performance optimization in Premium
  • Licensing and cost considerations

How to Prepare for the Power BI Exam?

There are several strategies to get ready for Power BI exams. Here are a couple of actions you can take to increase your chances of passing:

  1. Power BI has training materials and content that you can use to learn about the tool and get better at using it. It includes everything from design to data transformation to DAX. Power BI documentation is the ultimate guide to learn and stay updated on Power BI.
  2. There are more than 100,000 people who use Power BI. Many popular content creators regularly share new tips and tricks. You can learn from the videos and resources they share. You can also join a Power BI user group.
  3. You can learn Power BI from the ground up by reading relevant books. There are many Power BI books available in market such as “Power BI Quick Start Guide by Devin Knight and Mitchell Pearson” and “Mastering Microsoft Power BI by Greg Deckler and Brett Powell”
  4. Challenge yourself, prepare a list of topics and difficulty area you want to learn and practice them regularly. In Power BI community many such #hashtags are available where folks practice DAX for 100 days or learn a new concept and share with others.
  5. Read about the top Power BI projects to try and add them to your portfolio.
  6. Take the online dummy exams where it will simulate the actual certification questions and you have to answer them.
  7. Participate in live challenges, practice with real data sets, and design your own project.
  8. Connect with another certified member and take tips and tricks to learn.
  9. Finally, check out the KnowledgeHut Power BI Advanced course.

Tips to Pass the Power BI Exam

The quick tips align with the preparation method for the exam. Here are some concise yet valuable tips:

  1. Stay updated with Power BI's monthly releases. New features may simplify your tasks.
  2. Consistent practice is key to improvement; the more you use the tool, the more proficient you become.
  3. Challenge yourself by working with DAX metrics, enhancing your analytical skills.
  4. Ensure a solid grasp of fundamental concepts in data handling, such as data cleaning, establishing relationships, and effective modeling. These principles apply universally to all data tools.

Conclusion

In conclusion, enrolling in a Microsoft certification program offers an excellent avenue to master the Power BI tool, enabling you to proficiently analyze and present data. Initiating your journey with Power BI and consistently learning and practicing will allow you to craft your reports and gain insights into Power BI administration.

While comprehensive learning is valuable, it's worth noting that you can excel as an analyst without completing every course. Many companies seek experts in specific niches, so consider focusing on a particular area to become an industry authority through problem-solving. Furthermore, staying abreast of the latest market trends and innovations is essential. Keep the learning and practice momentum going.

Best of luck with your future exams, and may this blog serve as a valuable starting point for your Power BI journey.

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Frequently Asked Questions (FAQs)

1. Does the Power BI syllabus cover advanced analytics and AI features within the tool?

2. What are the key components of the Power BI syllabus related to Power Query?

3. Are there any sections on Power BI integration with other tools and services in the syllabus?

4. How are Power BI security and data governance concepts addressed in the syllabus?

Kavita Behera

4 articles published

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