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Course Summary

The Microsoft Power BI Course equips professionals with the skills to transform raw data into meaningful insights through powerful visualisation and analysis tools. Covering everything from data connection and transformation to DAX functions, interactive dashboards, and report publishing, the course offers a complete hands-on journey into business intelligence. 

Students will learn to clean and model data, design impactful reports, and collaborate using Power BI Service. Whether you’re a business analyst, project manager, or decision-maker, this 24-hour power bi training ensures you can turn data into actionable strategies for smarter, faster business decisions. 

Why WingsWay?

WingsWay, a globally recognised and trusted Authorised Training Centre, ensures you receive top-quality training and recognition for your efforts. Our commitment to delivering exceptional private education in Dubai has earned us the approval from the Knowledge and Human Development Authority (KHDA), an accreditation from CPD (UK) Standard’s Office, and an ISO 9001:2015 certification from the International Accreditation Forum (IAF). 

Furthermore, WingsWay Training Institute proudly received the title of ‘Best Training Institute’ twice and the ‘Outstanding Organisation Award’. Our services and training quality have not only been recognised by students in 85+ nationalities but also by top international organisations. 

Learning Outcomes

By the end of this Microsoft Power Bi course, students will be able to: 

  • Connect to diverse data sources (Excel, databases, web services, etc.). 
  • Clean and transform data using Power Query. 
  • Create effective data models and relationships. 
  • Build calculations and measures using the DAX formula language. 
  • Design visually appealing and interactive dashboards and reports. 
  • Share and publish Power BI reports and dashboards. 
  • Utilise Power BI for data storytelling and decision support. 

Course Duration

24 hours 

Entry Qualifications

Basic familiarity with Excel or other data analysis tools is beneficial. 

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    Learner’s Profile

    This Power Bi course is ideal for: 

    • Business analysts and data analysts 
    • Project Managers 
    • Professionals working with large datasets 
    • Managers and decision-makers seeking data-driven insights 
    • Anyone who wants to improve their data visualisation and analysis skills 

    Career Opportunities

    Power BI Certification proficiency opens doors to roles such as: 

    • Business Intelligence Analyst 
    • Data Analyst 
    • Data Visualisation Specialist 
    • Reporting Analyst 

    Course Content

    Module 1  

    • Overview of Power BI and its flow  
    • Power BI architecture & components  
    • Power BI license and getting started with Power BI  
    • Installation and setup  
    • Connecting to data sources  
    • Exploring the Power BI interface  
    • Visualising data with reports  
    • Creating your first clustered column & line charts  
    • Exploring detailed options of column chart  
    • Bar & Pie Chart – understanding their different formatting options  

    Module 2  

    • Creating cards for KPI & Tree Map  
    • Adding Interactive Slicers for reports (Slicing and Dicing)  

    Module 3  

    • Updating & Refreshing Data  
    • Understanding Edit interactions  
    • Adding Animated Scroller & Country Flags  

    Module 4  

    • Adding Date (Year & Quarter) Slicer  
    • Creating Reset Filter Button  
    • Adding Decomposition Tree  

    Module 5  

    • Tables & Metrics  
    • Adding Conditional Formatting  
    • Q&A (Use Natural Language to explore data)  

    Module 6  

    • Project → Creating Interactive Dashboard with Customise Background  

    Module 7  

    • Publishing reports online on Power BI service  
    • Sharing and collaborating on reports  
    • Viewing published report on the mobile app  

    Module 8  

    • Creating Maps  
    • Creating Filled Map  

    Module 9  

    • Pasting Data Manually without Importing  
    • Creating Funnel Chart  

    Module 10  

    • Visual Level  
    • Page Level  
    • Report Level  

    Module 11  

    • Getting the top 5 employees  
    • Creating secondary Axis Chart  

    Module 12  

    • Creating Magic with Bookmarks  
    • Understanding Drill through Reports  

    Module 13  

    • Creating Subscription in Power BI Service  

    Module 14 

    • Creating New Workspace  
    • Publishing reports in Workspace  

    Module 15   

    • Importing Messy Data in Power Query  
    • Exploring Power Query Editor 
    • Transforming & Cleaning data with Power Query 
    • Common data cleansing activities with Power Query 
    • Combining Columns, Changing Case & Fixing Date issue 
    • Unpivot Data (Converting Summarised data into Flat file for detailed Analyse)  
    • Combining Data from Multiple tables 
    • Combining Multiple Files & creating reports 
    • Adding Conditional Column using IF Condition 
    • Challenging & Complex Data Cleaning Project  

     

    Module 16   

    • What is Power BI Data Model 
    • Fact vs Dimension Tables 
    • Relationship Cardinalities  
    • Cross Filter Directions  
    • Data Model Project Module 17 (DAX Functions)  
    • Types of DAX Calculation 
    • Aggregation Function 
    • Writing IF Condition 
    • Time Intelligence Functions 
    • Calculate & Filter Function 

     

    FAQs

    This course is designed for business analysts, project managers, data professionals, and decision-makers who want to leverage Power BI for data visualisation and analysis.

    No advanced technical skills are required. A basic understanding of Excel or other data analysis tools is helpful but not mandatory.

    You will be able to clean and transform data, build data models, create interactive dashboards, apply DAX formulas, and publish/share reports on Power BI.

    The program is available in Face-to-Face and Virtual Instructor-Led formats, with hands-on projects to reinforce learning.

    With Power BI proficiency, you can pursue roles such as Business Intelligence Analyst, Data Analyst, Reporting Analyst, or Data Visualisation Specialist.

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