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Overview

The Power BI certificate helps you earn all the skills needed to run the Power BI tool for business processes. When you specialize in designing calculated tables and columns, regulating an organization's hierarchies, gauging data transactions, and cleansing data, you value a lot more than other employees. Microsoft Power BI is a cloud-based solution that helps organizations to convert data from various data sources into collaborative dashboards and business intelligence reports. It integrates datasets from various sources within an organization to devise data representation in real-time. This in turn drives the operational efficiency of any organization to another level. 

Once, you have attended Microsoft Power BI Training, you get access to skills that empower you to handle job responsibilities that include:

1. Data Transformation by Power BI Desktop
Once you have got your hands on Microsoft Power BI Certification, connecting to data sources, deploying data transformation and cleansing is a cakewalk.

2. Data Modelling and Visualization
This certification helps you in getting hands-on knowledge of creating data models on your own. Not only this, but you also get equipped with the ability to optimize the existing data models along with making well-calculated columns and tables. It further enables you to utilize the KPI of the job profile to measure an employee’s performance. 

3. Dashboards, Reports, and Apps in the Power BI service Configuration
A Microsoft Power BI training course will train you to handle dashboard configuration along with efficient report publications and embedding. This course lends you the needed skills to integrate and configure security for dashboards and data reports. 

Right from helping you acquire skills in connecting to data sources to optimizing data models, a Microsoft Power BI training course is demanded for ample reasons. As an employee when you hold specialization in cleansing data, creating calculated columns and tables, gauging data transactions, and managing hierarchies, your organization values you more than your contemporaries. These advanced skills help you get noticed while gaining respect and appreciation from your seniors. It validates your worth as a Microsoft-certified professional as it certifies that you are equipped with the most advanced skills that put you on the top as a business data analyst. 

Getting a Power BI certification leads you to a higher earning potential as well. The MS Certification makes employers keen on hiring you. A Microsoft Power BI certified employer earns a Senior Business Analyst in Canada earns CA$83,000 yearly on an average.

A better salary at a new job is not the only advantage of getting a Microsoft Power BI certification. When you exceed the job expectations with MS Power BI training, you surpass your competition within your current organization, increasing your chances to get a promotion. 

Course Content

  • identify and connect to a data source
  • change data source settings
  • select a shared dataset or create a local dataset
  • select a storage mode
  • choose an appropriate query type
  • identify query performance issues
  • use Microsoft Dataverse
  • use parameters
  • use or create a PBIDS file
  • use or create a data flow
  • connect to a dataset using the XMLA endpoint
  • identify data anomalies
  • examine data structures
  • interrogate column properties
  • interrogate data statistics
  • resolve inconsistencies, unexpected or null values, and data quality issues
  • apply user-friendly value replacements
  • identify and create appropriate keys for joins
  • evaluate and transform column data types
  • apply data shape transformations to table structures
  • combine queries
  • apply user-friendly naming conventions to columns and queries
  • leverage Advanced Editor to modify Power Query M code
  • configure data loading
  • resolve data import errors
  • define the tables
  • configure table and column properties
  • define quick measures
  • flatten out a parent-child hierarchy
  • define role-playing dimensions
  • define a relationship’s cardinality and cross-filter direction
  • design the data model to meet performance requirements
  • resolve many-to-many relationships
  • create a common date table
  • define the appropriate level of data granularity
  • apply cross-filter direction and security filtering
  • create calculated tables
  • create hierarchies
  • create calculated columns
  • implement row-level security roles
  • set up the Q&A feature
  • use DAX to build complex measures
  • use CALCULATE to manipulate filters
  • implement Time Intelligence using DAX
  • replace numeric columns with measures
  • use basic statistical functions to enhance data
  • create semi-additive measures
  • remove unnecessary rows and columns
  • identify poorly performing measures, relationships, and visuals
  • improve cardinality levels by changing data types
  • improve cardinality levels through summarization
  • create and manage aggregations
  • add visualization items to reports
  • import a custom visual
  • format and configure visualizations
  • import a custom visual
  • configure conditional formatting
  • apply slicing and filtering
  • add an R or Python visual
  • configure the report page
  • design and configure for accessibility
  • configure automatic page refresh
  • create a paginated report
  • set mobile view
  • manage tiles on a dashboard
  • configure data alerts
  • use the Q&A feature
  • add a dashboard theme
  • pin a live report page to a dashboard
  • configure bookmarks
  • create custom tooltips
  • edit and configure interactions between visuals
  • configure navigation for a report
  • apply sorting
  • configure Sync Slicers
  • use the selection pane
  • use drillthrough and cross filter
  • drilldown into data using interactive visuals
  • export report data
  • design reports for mobile devices
  • apply conditional formatting
  • apply slicers and filters
  • perform top N analysis
  • explore statistical summary
  • use the Q&A visual
  • add a Quick Insights result to a report
  • create reference lines by using Analytics pane
  • use the Play Axis feature of a visualization
  • personalize visuals
  • identify outliers
  • conduct Time Series analysis
  • use groupings and binnings
  • use the Key Influencers to explore dimensional variances
  • use the decomposition tree visual to break down a measure
  • apply AI Insights
  • configure a dataset scheduled refresh
  • configure row-level security group membership
  • provide access to datasets
  • configure incremental refresh settings
  • promote or certify Power BI datasets
  • identify downstream dataset dependencies
  • configure large dataset format
  • create and configure a workspace
  • recommend a development lifecycle strategy
  • assign workspace roles
  • configure and update a workspace app
  • publish, import, or update assets in a workspace
  • apply sensitivity labels to workspace content
  • use deployment pipelines
  • configure subscriptions
  • promote or certify Power BI content

About the instructor

DIPU MAHARJAN

BI Solution Architect

Hi I am Dipu Maharjan. I am working as BI Solution Architect. I have experience more than 10 years as Data Analyst, Database Programmer, Developer and Trainer.

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    Course Features

  • Course Duration30 hrs
  • Course CostRs. 20,000