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Microsoft Power BI is a powerful business analytics tool that enables organizations to visualize and analyze their data quickly and easily. It allows users to connect to a wide range of data sources, including databases, spreadsheets, and cloud services, to create interactive reports and dashboards.

With Power BI, users can transform raw data into insightful visualizations, such as charts, graphs, and maps, that help uncover trends, patterns, and relationships within their data. These visualizations can be customized and shared with others, making it easy to collaborate and communicate insights across teams and departments.

Power BI also offers advanced features like natural language processing, predictive analytics, and machine learning capabilities, allowing users to ask questions in plain language and uncover deeper insights from their data.

Overall, Microsoft Power BI provides a user-friendly and intuitive platform for data analysis and reporting, empowering organizations to make informed decisions and drive business success

Why Power BI Training in Nepal?

  • Power BI training enhances data analysis and visualization abilities crucial for Nepal's data-driven decision-making.
  • Proficiency in Power BI offers a competitive edge in Nepal's job market, fostering better career prospects.
  • Power BI enables Nepalese organizations to optimize performance through data-driven decision-making, enhancing growth and efficiency.
  • Power BI's user-friendly interface streamlines reporting processes, facilitating effective data presentation and decision-making in Nepal.
  • Power BI training empowers small businesses in Nepal by providing insights for informed decision-making, promoting growth and sustainability.

    Importance of Power BI?

    • Power BI offers robust tools for analyzing data, including advanced calculations and trend identification.
    • It connects to various data sources in real-time, providing up-to-date insights for quick decision-making.
    • Power BI's cloud-based and mobile-friendly features allow users to access and analyze data from anywhere, using any device with an internet connection.
    • It seamlessly integrates with Microsoft products like Excel, Azure, and SQL Server, as well as with third-party applications, ensuring a smooth data analysis experience.
    • Power BI can handle large volumes of data, making it suitable for businesses of all sizes.
    • By providing actionable insights, Power BI assists businesses in making data-driven decisions that enhance growth and competitiveness.

Course overview

It empowers users to analyze, visualize, and share insights from their data. Its key features include data import from various sources, data modeling, interactive visualization creation, and report sharing. Power BI offers advanced functionalities such as natural language processing and predictive analytics. It enables users to transform raw data into actionable insights through intuitive dashboards and reports. With its user-friendly interface and powerful capabilities, Power BI is widely used across industries to drive data-driven decision-making and business success.

Career Opportunities

Career opportunities in Power BI are abundant and diverse, reflecting the growing demand for skilled professionals in this field. Here are several avenues for pursuing a career in Power BI:

  • Business Intelligence Analyst
  • Data Analyst
  • Business Analyst
  • Data Visualization Specialist
  • BI Developer
  • Consultant/Advisor
  • Project Manager
  • Sales Analyst
  • Freelancer/Contractor

Teaching Methodology

  • Handful of assignments, tutorials and lab test of each chapter.
  • Periodic feedback from Trainer and Trainee and do the required changes as per necessity.
  • Each trainee need to design exercise to solve specific design problems or scenarios using Power Bi principles, taking assistance form trainer when ever required. 


  • Good knowledge of Computer, Softwares
  • Understanding of Data Concepts
  • Critical thinking and problem solving abilities

Course content

courses |

Introduction to Power BI

  •  Introduction to business intelligence (BI)
  •  Stages of business intelligence (BI)
  •  Use cases of BI  Various BI tools
  •  Various BI tools
  •  Overview of data warehouse and concepts
  •  Introduction to Power BI
  •  Why Power BI?
  •  Power BI components
  •  Building blocks of Power BI
  •  The architecture of Power BI
  •  Power BI vs Tableau vs QlikView
  •  Introduction to Power BI Desktop
  •  Installation of Power BI Desktop
  •  The key features of the Power BI workflow
  •  Process of creating reports in Power BI

Data Extraction

  •  Overview of Power BI Desktop
  •  Data sources in Power BI
  •  Using files (excel, pdf, CSV, etc.) as a data source
  •  Using SaaS connectors
  •  Extracting data from folders, and databases
  •  Working with Azure SQL database and database sources
  •  Connecting to Analysis Services
  •  Other data sources (OData, web, SharePoint, etc.)
  •  Python R script in Power BI
  •  Introduction of the power query editor
  •  Advance editor
  •  Query dependency editor

Data Transformation – Shaping and Combining Data

  •  Shaping data using Power Query Editor
  •  Formatting data
  •  Transformation of data
  •  Understanding of Data types
  •  Data profiling for data quality check
  •  Naming conventions and best practices to consider
  •  Identify and create appropriate keys for joins
  •  Working with Parameters
  •  Merge Query
  •  Append Query
  •  Group by of data (aggregation of data)
  •  Applied steps (query settings)
  •  Duplicate and reference tables
  •  Transpose of data
  •  Fill
  •  Pivot & Un-pivot of data
  • Custom columns
  •  Conditional columns
  •  Replace data from the tables
  •  Split columns values
  •  Move columns and sorting of data
  •  Detect data type, count rows, and reverse rows
  •  Promote rows as column headers
  •  Hierarchies in Power BI

 M query

Data Modelling and DAX

  •  Introduction to relationships
  •  Creating relationships
  •  Cardinality
  •  Cross-filter direction
  •  Use of inactive relationships
  •  Introduction of DAX
  •  Why is DAX used?
  •  DAX syntax
  •  DAX functions
  •  Context in DAX
  •  Calculated columns using DAX
  •  Measures using DAX
  •  Calculated tables using DAX
  •  Learning about tables, information, logic, text, iterator,
  •  Time intelligence functions (YTD, QTD, MTD)
  •  Cumulative values, calculated tables, and ranking and rank over groups
  •  Date and time functions
  •  Identify poorly performing measures, relationships, and visuals
  •  DAX advanced features

Data Visualization with Analytics

  •  Deep dive into Power BI data visualization
  •  Understanding Power View and Power Map
  •  Data visualization techniques
  •  Page layout and formatting
  •  Power BI Desktop visualization
  •  Formatting and customizing visuals
  •  Visualization interaction
  •  Custom visualization in Power BI
  •  Top-down and bottom-up analytics
  •  Drill down
  •  Drill through
  •  Page navigations
  •  Bookmarks
  •  Selection pane to show/hide visuals
  •  Comparing volume and value-based analytics
  •  Combination charts (dual axis charts)
  •  Filter pane
  •  Slicers
  •  Use of Hierarchies in drill-down analysis
  •  Theme for corporate standards
  •  Power BI template for design reusability
  •  Mastering the best practices
  •  Performance analyzer in Power BI for monitoring the performance of the report
  •  Power BI Q&A (Natural Language Query visual)
  •  Sync slicers
  •  Tooltips and custom tooltips
  •  Tables and matrix
  •  Conditional formatting on visuals
  •  Waterfall chart, KPI, Donut chart, Scatter chart
  •  Geographical data visualization using Maps

Power BI Service (Cloud), Q & A, and Data Insights

  •  Introduction to Power BI service
  •  Introduction of workspaces
  • Dashboard
  •  Creating and configuring dashboards
  •  Dashboard theme
  •  Reports vs Dashboards
  •  Building workspace apps
  •  Sharing reports and dashboards
  •  configure subscriptions and data alerts
  •  Paginated report
  •  Introduction to Power Q & A
  •  Ask questions about your data using natural query language
  •  Getting answers in the form of charts, graphs, and data discovery methodologies
  •  Configure custom questions for Q&A like FAQ
  •  Ad-hoc analytics building
  •  Power Q&A best practices
  •  Quick Insights
  •  Subscribe, alerts, usage statics, related content
  •  Design reports on Power BI service
  •  Collaboration using Power BI service
  •  Row-level security (RLS)
  •  Introduction of paginated reports
  •  Introduction of Power BI report server

Power BI Settings, Administration, and Direct Connectivity

  •  Understanding Power BI desktop settings
  •  Aggregating data from multiple data sources
  •  Power BI service settings
  •  Power BI admin portal
  •  Administration activities
  •  Power BI usage analysis
  •  Introduction of Office 365 admin activities
  •  Introduction of Data Gateway
  •  Installation and configuration of data gateways
  •  Scheduling auto data refresh
  •  Managing groups, row-level security, datasets, reports, and dashboards
  •  Real-time data analysis using direct connectivity
  •  Direct query vs import mode

Embedded Power BI with API and Power BI Mobile

  •  Introduction to embedded Power BI
  •  Create embedded code
  •  Manage embedded code
  •  Integration of Power BI in SharePoint
  •  Introduction of Power BI API
  •  Power BI embedded playground
  •  Introduction to Power BI Mobile
  •  Creating mobile-based reports and dashboards
  •  Optimizing report for Power BI mobile app
  •  Features of the Power BI mobile app
  •  Introduction of integrating Power BI & Excel
  •  Power BI Analyze in Excel

Project Work

  • Project Work with some real-time designs and implementations.
  • Project Evaluation and Feedback.

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