Power BI Training in Nepal

Duration: ( 30 Hrs. )
Career: Data Analyst
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Power BI Training in Nepal

Power BI is a trend in the current market that sees a lot of data being used. It is also a solution that enables various organizations, big or small, to generate various reports via the process of data conversion. In turn, the organization will be able to keep track of a lot of happenings that are happening on the spot.

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 Nepal

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 in Nepal - Outlines
    Course Content Power BI Training
  • Get information from exceptional facts resources

    • Discover and hook up with a records supply
    • Trade data source settings
    • Pick out a shared dataset or create a neighborhood dataset
    • Pick a garage mode
    • Pick the right query kind
    • Perceive question performance issues
    • Use microsoft dataverse
    • Use parameters
    • Use or create a pbids file
    • Use or create a information waft
    • Connect with a dataset using the XMLA endpoint
  • Profile the data

    • Discover records anomalies
    • Have a look at facts structures
    • Interrogate column houses
    • Interrogate facts facts
  • Clean, rework, and cargo the facts

    • Clear up inconsistencies, sudden or null values, and information excellent troubles
    • Observe user-friendly value replacements
    • Perceive and create suitable keys for joins
    • Compare and remodel column information kinds
    • Apply statistics shape adjustments to table structures
    • Integrate queries
    • Practice user-friendly naming conventions to columns and queries
    • Leverage advanced editor to adjust power query m code
    • Configure information loading
    • Resolve records import errors
  • Design a statistics version

    • Define the tables
    • Configure desk and column residences
    • Outline quick measures
    • Flatten out a determine-child hierarchy
    • Define position-playing dimensions
    • Outline a relationship’s cardinality and go-filter out course
    • Layout the statistics version to fulfill overall performance requirements
    • Solve many-to-many relationships
    • Create a not unusual date desk
    • Define the precise level of records granularity
  • Broaden an information model

    • Apply pass-filter out course and safety filtering
    • Create calculated tables
    • Create hierarchies
    • Create calculated columns
    • Implement row-stage security roles
    • Installation the Q&A function


  • Create measures by using the use of DAX

    • Use DAX to build complicated measures
    • Use calculate to control filters
    • Implement time intelligence using DAX
    • Replace numeric columns with measures
    • Use basic statistical functions to enhance information
    • Create semi-additive measures
  • Optimize version performance

    • Take away pointless rows and columns
    • Become aware of poorly performing measures, relationships, and visuals
    • Improve cardinality stages by means of converting facts types
    • Improve cardinality stages through summarization
    • Create and manage aggregations


  • Create reviews

    • Upload visualization gadgets to reports
    • Import a custom visible
    • Layout and configure visualizations
    • Import a custom visible
    • Configure conditional formatting
    • Apply cutting and filtering
    • Add an r or python visible
    • Configure the file page
    • Layout and configure for accessibility
    • Configure computerized web page refresh
    • Create a paginated document
  • Create dashboards

    • Set cellular view
    • Manage tiles on a dashboard
    • Configure information indicators
    • Use the q&a feature
    • Add a dashboard topic
    • Pin a live report web page to a dashboard
  • Enrich reports for usability

    • Configure bookmarks
    • Create custom tooltips
    • Edit and configure interactions among visuals
    • Configure navigation for a file
    • Observe sorting
    • Configure sync slicers
    • Use the selection pane
    • Use drillthrough and pass clear out
    • Drilldown into information the use of interactive visuals
    • Export file facts
    • Layout reports for mobile gadgets
  • Decorate reviews to reveal insights

    • Apply conditional formatting
    • Apply slicers and filters
    • Perform top n analysis
    • Explore statistical precis
    • Use the Q&A visible
    • Add a short insights end result to a report
    • Create reference lines via using analytics pane
    • Use the play axis characteristic of a visualization
    • Customize visuals
  • Carry out advanced evaluation

    • Identify outliers
    • Behavior time series evaluation
    • Use groupings and binnings
    • Use the key influencers to explore dimensional variances
    • Use the decomposition tree visible to break down a degree
    • Follow ai insights
  • Manage datasets

    • Configure a dataset scheduled refresh
    • Configure row-stage security institution club
    • Provide get entry to to datasets
    • Configure incremental refresh settings
    • Sell or certify strength bi datasets
    • Become aware of downstream dataset dependencies
    • Configure large dataset layout
  • Create and manage workspaces

    • Create and configure a workspace
    • Endorse a development lifecycle approach
    • Assign workspace roles
    • Configure and update a workspace app
    • Post, import, or update property in a workspace
    • Follow sensitivity labels to workspace content
    • Use deployment pipelines
    • Configure subscriptions
    • Sell or certify power bi content material

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