Power BI Training in Nepal

Power BI Training in Nepal

Power BI Training Institute in Kathmandu, Nepal

Duration: 45 Days ( 65 Hrs. )
Career: Data Analyst
Training Mode: Both, Physical & Live Online Classes
Master Your Skills
Become a Professional
Build a Career!
Description

Power BI Training in Nepal

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 aims 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 platform that targets to find the insights within an organization’s data. 
                                                         
Broadway offers Power BI training in Nepal to aware aspiring Business Intelligence Developer / Analyst about navigating and creating BI tools along with complete knowledge of the BI system. Today, there is much demand for Power BI-certified professionals in the market therefore this is a valuable skill to have for long-term career growth.

Benefits

Benefits of Power BI Training in Nepal

Here are the main reasons to take Power BI Training in Nepal:

  • 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 

Here are the benefits of Power BI Training at Broadway Infosys Nepal:

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

Power BI Training - Outlines
    Course Content Power BI Training
  • Module A: Prerequisites (20 Hours)

    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
  • Basic Business intelligence

    • Business intelligence concepts
    • Data warehousing
    • Basic ETL Proces
    • Analytics
    • Reporting
  • Module B: Microsoft Power BI Data Analyst (45 Hours)
  • Get data from data sources

    • 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
  • Clean the data

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

    • 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

     

  • Design and implement a data model

    • 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 model calculations by using DAX

    • 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

     

  • Optimize model performance

    • 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
  • Create reports

    • 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
  • Enhance reports for usability and storytelling

    • 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 manage workspaces and assets

    • 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
  • Manage datasets

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

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

    PL-300: Microsoft Power BI Data Analyst

Upcoming Class Schedule
26 May 2024 07:00 AM - 08:30 AM
26 May 2024 08:00 PM - 09:30 PM
02 Jun 2024 10:30 AM - 12:00 PM
02 Jun 2024 03:00 PM - 04:30 PM

Quick Inquiry