Welcome to IEVISION IT Services Private Limited, your trusted partner for all your training and consulting needs. At IEVISION, we understand the importance of building confidence in our clients when it comes to investing in training and consulting services. With over 12 years of experience, we have established ourselves as a leading provider in the industry, offering a wide range of specialized services.

  • 15,500 + Professionals trained across various countries. 
  • ISACA, EC-Council, PECB, TUV-SUD, ISTQB, Accredited Training and Certification Provider
  • 15-35 Yr. Accredited & Certified Trainers
  • Highest Customer Satisfaction i.e. 4.8+/5 % CSAT
  • Delivery modes (Instructor Led Online and Classroom)
  • Training Courses like CEH, CISA, CISSP, CCSP, CISM, CRISC, ISO 27001, ISO 22301, ISO 20000-1, AWS, Azure, Google Cloud, Software Testing, PMP, CSM, PSM, Enterprise Architecture, Design Thinking & Many more)
  • 500 + Corporates 
  • 500 + Experienced Trainers and Consultants 
  • 1000+ Professional Training Programs Delivered 
  • 200 + Global Examinations under one roof

IEVISION IT services Pvt Ltd,
7, Bilvakunja Apartment,
Bhandarkar Road, Pune - 411004
+9196046441000, +919604664000 [email protected]

Microsoft Power BI

  • Accredited Training Organization
  • Trained over 2000+ Professionals
  • Internationally Recognized Trainers
  • Design and build scalable data models
  • Cleaning and Transforming data
  • Learn advanced analytic capabilities
  • Preparation of an Power BI certification



UPCOMING BATCHE(S) IN "PUNE" (change city)

Date Time Course Type Price Option
Microsoft Power BI is a power full Data Analysts application that enable businesses to maximize the value of their data assets. As a subject matter expert, data analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. 

Prepare the Data (20-25%)  
Model the Data
Develop a data model
Create measures by using DAX
Visualize the Data (20-25%)
Analyze the Data (10-15%)
Deploy and Maintain Deliverables (10-15%)
Prepare the Data (20-25%)
Get data from different data sources
• 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
Profile the data
• identify data anomalies
• examine data structures
• interrogate column properties
• interrogate data statistics
Clean, transform, and load the data
• 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
Model the Data (25-30%)
Design a data model
• 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
Develop a data model
• apply cross-filter direction and security filtering
• create calculated tables
• create hierarchies
• create calculated columns
• implement row-level security roles
• implement object-level security
• set up the Q&A feature
Create measures by using DAX
• 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
Optimize model performance
• 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
• use Query Diagnostics
Visualize the Data (20-25%)
Create reports
• add visualization items to reports
• choose an appropriate visualization type
• 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
Create dashboards
• 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
Enrich reports for usability
• 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 drill through and cross filter
• drilldown into data using interactive visuals
• export report data
• design reports for mobile devices
Analyze the Data (10-15%)
Enhance reports to expose insights
• 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
Perform advanced analysis
• 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
Deploy and Maintain Deliverables (10-15%)
Manage datasets
• 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 manage workspaces
• 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
  • IT Managers
  • Quality Managers
  • Project Managers
  • Auditors 
  • IT Operation Professionals 
  • Application Support 
  • Business Leaders
  • Business Managers
  • Job Seekers
  • 20 + Yr. Accredited & Certified Consultants 
  •  200 + Corporates
  •  Certified, Empaneled and Verified Trainers
  •  Microsoft DA 100 Exam Preparation
  •  15,500 + Professionals trained in 14 Countries
  •  1500+ Professional Training Programs Delivered
  •  Highest Passing Rate
  •  Highest Customer Satisfaction Rate
  •  Classroom & Virtual training delivery models 
  •  Excellent Pre & Post Professional Training Support
  •  Professionals Trained from 45+ Countries and organizations like IBM, Accenture, Capgemini, Cognizant, Infosys, TCS, Wipro, KPIT Cummins, HP -Mphasis, Persistent, ATOS, Tech Mahindra etc..
  • Latest Courseware
  • Accredited training
  • Recorded Session Access
  • Mock Question Sets
  • Certification Exam MS-DA-100
  • Technical Interview preparation involved
  • Complete preparation of MS-DA-100 for Examination
  • Participation Certificate


  • 3-5 Member 5%
  • 6-8 Member 10%
  • 9+ Member 15%


11000 +

Professionals Trained