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Analyzing Data with Microsoft Power BI Course in Dubai

Overview of Analyzing Data with Microsoft Power BI Course

Data Experts make it possible for companies to optimize the value of their information assets by utilizing Microsoft Power BI. As topic experts, Data Analysts are accountable for designing and building scalable information designs, cleaning and changing information, and allowing innovative analytic capabilities that supply purposeful business worth through easy-to-comprehend data visualizations. Zabeel Institute is considered the best training institute in Dubai for Analyzing Data with Microsoft Power BI Courses.

Job role: Data Analyst

Required exams: DA-100

Analyzing Data with Microsoft Power BI Certification details

Exam DA-100: Analyzing Data with Microsoft Power BI

Languages: English, Chinese (Simplified), Korean Japanese

Retirement date: none

This test measures your ability to achieve the following technical jobs: prepare the data; version the information; envision the data; assess the information; and deploy and maintain deliverables.

Information Analysts likewise team up with key stakeholders across verticals to supply pertinent understandings based on identified company needs.
The Information Expert should have a fundamental understanding of information repositories and data handling both on-premises and in the cloud.

Part of the requirements for Microsoft Certified: Data Analyst Associate

Skills measured

  • Prepare the information
  • Version the data
  • Picture the data
  • Assess the information
  • Deploy and preserve deliverables

Analyzing Data with Microsoft Power BI

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Microsoft Power BI Course Course content

Exam DA-100: Analyzing Data with Microsoft Power BI

Prepare the Data (20-25%)

Get data from different data sources

  • determine and attach to a data resource
  • modification information resource setups
  • pick a common dataset or create a neighborhood dataset
  • choose a storage mode
  • choose a proper query kind
  • recognize query efficiency issues
  • usage Microsoft Data knowledgeable
  • usage specifications
  • usage or produce a PBIDS data
  • use or create an information flow
  • attach to a dataset utilizing the XMLA endpoint

Profile the data

  • identify data abnormalities
  • check out data structures
  • interrogate column buildings
  • question data stats

Clean, transform and load the data

  • fix disparities, unforeseen or void values, as well as data quality problems
  • apply user-friendly value substitutes
  • identify and develop suitable keys for signs up with
  • evaluate and transform column information kinds
  • apply information form changes to table frameworks
  • combine questions
  • apply user-friendly calling conventions to columns and questions
  • leverage Advanced Editor to change Power Query M code
  • configure data loading
  • settle data import mistakes

Model the Data (25-30%)

Design a data model

  • define the tables
  • configure table and column buildings
  • define fast procedures
  • flatten out a parent-child pecking order
  • specify role-playing dimensions
  • specify a relationship's cardinality and cross-filter direction
  • design the information model to satisfy performance needs
  • resolve many-to-many partnerships
  • produce a common date table
  • specify the suitable level of information granularity

Develop a data model

  • use cross-filter direction and also safety filtering
  • create determined tables
  • produce hierarchies
  • produce computed columns
  • execute row-level protection roles
  • set up the Q&An attribute

Create measures by using DAX

  • use DAX to develop intricate procedures
  • use DETERMINE to manipulate filters
  • execute Time Knowledge utilizing DAX
  • change numerical columns with measures
  • use basic analytical functions to enhance data
  • develop semi-additive actions

Optimize model performance

  • get rid of unnecessary rows as well as columns
  • identify inadequately doing procedures, connections, and also visuals
  • improve cardinality levels by changing information types
  • boost cardinality levels through summarization
  • create as well as handle gatherings

Visualize the Data (20-25%)

Create reports

  • include visualization things to records
  • pick a proper visualization type
  • style, as well as configure visualizations
  • import a customized aesthetic
  • set up conditional formatting
  • use cutting as well as filtering
  • add an R or Python visual
  • configure the report page
  • style as well as configure for availability
  • set up automatic page refresh
  • create a paginated record

Create dashboards

  • set mobile view
  • handle ceramic tiles on a control panel
  • set up data signals
  • utilize the Q&A feature
  • include a control panel them
  • pin a real-time record page to a control panel

Enrich reports for usability

  • configure book markings
  • produce custom tooltips
  • edit as well as configure communications between visuals
  • configure navigating for a report
  • apply to sort
  • set up Sync Slicers
  • use the option pane
  • use a drill with and go across a filter
  • drill down into data making use of interactive visuals
  • export report information
  • style reports for mobile phones

Perform advanced analysis

  • recognize outliers
  • conduct Time Series evaluation
  • usage groupings and also bindings
  • utilize the Trick Influencers to explore dimensional variations
  • make use of the decaying tree visual to break down a step
  • apply AI Insights

Deploy and Maintain Deliverables (10-15%)

Manage datasets

  • configure a dataset scheduled refresh
  • configure row-level security team subscription
  • offer access to datasets
  • configure step-by-step refresh setups
  • advertise or license Power BI datasets
  • recognize downstream dataset dependencies
  • configure big dataset style

Create and manage workspaces

  • produce as well as set up a workspace
  • suggest an advancement lifecycle strategy
  • assign workspace functions
  • configure and upgrade a workspace app
  • publish, import, or update possessions in an office
  • apply sensitivity tags to workspace content
  • usage release pipelines
  • configure subscriptions
  • advertise or accredit Power BI web content

We are a fully accredited Institute by KHDA and endorsed by students as the best Analyzing Data with Microsoft Power training institute in Dubai.

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