Power BI Training

Power BI Training

Course Overview
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Power BI is a technology-driven business intelligence collection of tools that connects disparate data sets, manages all facets of a company, and provides visuals of the data. The course focuses on building an interactive dashboard for analyzing data and extracting business insights from multiple unrelated sources. By connecting to one or more of the hundreds of existing data sources and using a secure, easy-to-understand interface, one can quickly and simply interact with and understand the data to influence all business systems.

We offer one of the top business intelligence and data analytics platforms that target finding insights within an organization’s data.

Broadway offers Power BI training in Nepal to help aspiring Business Intelligence Developers and Analysts navigate and create BI tools along with complete knowledge of the BI system. Today, there is high demand for Power BI-certified professionals in the market; therefore, this is a valuable skill to have for long-term career growth.

Skills you’ll learn

Database & SQL Basics : Learn database creation, SQL queries, joins, subqueries, indexes, views, and data integrity.
Business Intelligence Fundamentals : Know the fundamentals of BI, data warehouse, ETL, analytics, and reporting.
Power BI Data Connection: : Connect to various sources, including Excel, SQL, and APIs; import data in DirectQuery and Dual modes; specify credentials and parameters.
Data Cleaning & Transformation : Employ Power Query to audit and cleanse data using methods of handling null values, formatting, and error correction.

Benefits of Power BI Training

  • It is the demand of the competitive market where data is prevalent.
  • Practical knowledge on how to convert data into readable and understandable reports.
  • Learn to manipulate data to generate the solutions of your choice.
  • Practical knowledge and sharing of information in any field that you opt for.

Benefits of Power BI Training at Broadway Infosys

  • Highly experienced Power BI field experts as instructors.
  • Internship and job placement opportunities at various organizations.
  • Focus on real-world scenarios.
  • Affordable training cost.
  • Wider access to training equipment and materials.
  • Project work supervision from experts.
  • Job placement opportunities for ace trainees.
  • Progressive learning approach.

Students who got hired learning this course

Hear from graduates who have completed our courses.

Successful student from Broadway Infosys Mr. Kshitiz Simkhada
Mr. Kshitiz Simkhada

Market Analyst

VIVO Nepal

College/Faculty
Khowpa College of Engineering / Computer Engineering

Our graduates are hired by 350+ companies in Nepal

Time for you to be the next hire. With our advanced and industry relevant courses, you are on the right stage to start your dream career.
Our graduates are hired by

Lesson 1: Course Content Power BI Training

Basic to SQL

  • Introduction to Database
  • Database Designing Process
  • Configuring SQL Server Log and Data Files.
  • Data Types
  • Creating Tables
  • Accessing and Modifying Database and Tables(DML) 
  • Implementing Data Integrity
  • Creating Indexes
  • Accessing and Modifying Data
  • Join and Sub Queries
  • Implementing Views

  • Business intelligence concepts
  • Data warehousing
  • Basic ETL Proces
  • Analytics
  • Reporting

  • Identify and connect to a data source
  • Change data source settings, including credentials, privacy levels, and data source locations
  • Select a shared dataset, or create a local dataset
  • Choose between DirectQuery, Import, and Dual mode
  • Change the value in a parameter

  • Evaluate data, including data statistics and column properties
  • Resolve inconsistencies, unexpected or null values, and data quality issues
  • Resolve data import errors

  • Select appropriate column data types
  • Create and transform columns
  • Transform a query
  • Design a star schema that contains facts and dimensions
  • Identify when to use reference or duplicate queries and the resulting impact
  • Merge and append queries
  • Identify and create appropriate keys for relationships
  • Configure data loading for queries

 

  • Configure table and column properties
  • Implement role-playing dimensions
  • Define a relationship's cardinality and cross-filter direction
  • Create a common date table
  • Implement row-level security roles

  • Create single aggregation measures
  • Use CALCULATE to manipulate filters
  • Implement time intelligence measures
  • Identify implicit measures and replace with explicit measures
  • Use basic statistical functions
  • Create semi-additive measures
  • Create a measure by using quick measures
  • Create calculated tables

 

  • Improve performance by identifying and removing unnecessary rows and columns
  • Identify poorly performing measures, relationships, and visuals by using Performance Analyzer
  • Improve performance by choosing optimal data types
  • Improve performance by summarizing data

  • Identify and implement appropriate visualizations
  • Format and configure visualizations
  • Use a custom visual
  • Apply and customize a theme
  • Configure conditional formatting
  • Apply slicing and filtering
  • Configure the report page
  • Use the Analyze in Excel feature
  • Choose when to use a paginated report

  • Configure bookmarks
  • Create custom tooltips
  • Edit and configure interactions between visuals
  • Configure navigation for a report
  • Apply sorting
  • Configure sync slicers
  • Group and layer visuals by using the Selection pane
  • Drill down into data using interactive visuals
  • Configure export of report content, and perform an export
  • Design reports for mobile devices
  • Incorporate the Q&A feature in a report

  • Create and configure a workspace
  • Assign workspace roles
  • Configure and update a workspace app
  • Publish, import, or update assets in a workspace
  • Create dashboards
  • Choose a distribution method
  • Apply sensitivity labels to workspace content
  • Configure subscriptions and data alerts
  • Promote or certify Power BI content
  • Manage global options for files

  • Identify when a gateway is required
  • Configure a dataset scheduled refresh
  • Configure row-level security group membership
  • Provide access to datasets

After completing this course the audience will be able to attend Microsoft Certification Exam

PL-300: Microsoft Power BI Data Analyst

Earn a High Value Industry Certificate

Add this credential to your LinkedIn profile, resume, or CV to stand out to recruiters.

Upcoming Classes (7)
30 Jul 2025
04 Aug 2025
10 Aug 2025
17 Aug 2025
24 Aug 2025
25 Aug 2025
31 Aug 2025