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 a topic expert, Data Analysts are accountable for designing and building scalable information designs, cleaning as well as changing information, as well as allowing innovative analytic capabilities that supply purposeful business worth through easy-to-comprehend data visualizations.
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
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 also 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 also data handling both on-premises as well as 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
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 sorting
set up Sync Slicers
use the option pane
use drill with and go across filter
drilldown 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 binnings
utilize the Trick Influencers to explore dimensional variations
make use of the decay 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 dependences
configure big dataset style
Create and manage workspaces
produce as well as set up a work space
suggest an advancement lifecycle strategy
assign workspace functions
configure and upgrade a work space app
publish, import, or update possessions in an office
apply sensitivity tags to work space content
usage release pipelines
configure subscriptions
advertise or accredit Power BI web content
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