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POWER BI

Learn Microsoft Power BI concepts with hands-on training in data visualization, dashboard creation, data modeling, DAX formulas, Power Query, and real-time business reporting to transform raw data into meaningful insights.

Hands-on AI projects with industry-oriented training
Placement support and certification guidance included
Course Duration
6 Weeks Intensive Program

    Live Training

    Instructor-led Online Training

    Interactive live classes with expert trainers, practical learning, LMS access, and cloud labs.
    Live mentor sessions
    Dedicated lab access
    Weekend batches
    Most popular
    Self Paced

    Recorded Video Training

    Learn anytime with premium recorded sessions, downloadable study materials, and flexible access.
    Unlimited recordings
    LMS access included
    Flexible learning
    Flexible Access
    Enterprise

    Corporate Training

    Team-oriented learning solutions with LMS integration, reporting, and enterprise support.
    Team learning
    Progress tracking
    Dedicated support
    Business Ready
    KASHA TRAINING

    About The Course

    Microsoft Power BI is a collection of software services, apps, and connectors that work together to turn unrelated sources of data into coherent, visually immersive, and interactive insights. From data in a simple Microsoft Excel workbook, or a collection of cloud-based and on-premises hybrid data warehouses, Power BI lets you easily connect to your data sources, clean and model your data without affecting the underlying source, visualize what’s important, and share that with anyone or everyone you want. Power BI is described as a self-service tool, meaning that users don’t need advanced skills in data analytics or engineering in order to use it. Data science professionals, department managers, and administrators alike may leverage Microsoft Power BI to create data models, share reports, and measure departments’ or individual employees’ success against business goals.

    Power BI allows users to connect to different data sources, clean them and analyze them ,to produce strong data visualizations and data storytelling. It’s also used for sharing information throughout the business to improve data-driven decision-making at every level. While there are similarities between Excel and Power BI, the latter allows you to work with larger amounts of data.

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    Benefits of Attending Power BI Training

    • Gain industry-recognized Data Visualization and Business Intelligence skills highly sought after across Finance, Healthcare, Retail, and IT sectors
    • Opens career opportunities as a Power BI Developer, Data Analyst, Business Intelligence Analyst, Data Engineer, and Reporting Specialist
    • Learn Microsoft’s most powerful and widely used Business Intelligence tool trusted by thousands of organizations globally
    • Boost your earning potential — Power BI certified professionals command highly competitive salaries in the data and analytics industry
    • Develop strong skills in transforming raw data into meaningful insights, interactive dashboards, and actionable reports
    • Ability to connect and analyze data from multiple sources including Excel, SQL Server, Azure, Salesforce, and Google Analytics
    • Master key Power BI components — Power Query, Power Pivot, DAX Formulas, and Power BI Service
    • Prepares you for globally recognized Microsoft certifications such as Microsoft Certified: Data Analyst Associate (PL-300)
    • Enhances analytical thinking, data storytelling, and decision-making skills using visual data representations
    • Builds a strong foundation for advancing into advanced Data Analytics, Azure Synapse, and Microsoft Fabric specialization

    Power BI has the following key features:

    • Comprehensive curriculum covering Power BI basics to advanced dashboard development and data modeling concepts
    • Hands-on, practical training with real-time projects, case studies, and live data visualization exercises
    • Coverage of core topics: Data Import, Data Transformation, Data Modeling, Relationships, and Report Publishing
    • In-depth training on Power Query Editor for data cleaning, shaping, and transformation using M Language
    • Modules on DAX (Data Analysis Expressions) — calculated columns, measures, KPIs, and time intelligence functions
    • Training on building interactive Dashboards, Reports, and Scorecards with advanced visualizations and custom visuals
    • Coverage of Power BI Service — workspace management, scheduled refresh, row-level security, and report sharing
    • Modules on Power BI integration with Excel, Azure Data Services, SQL Server, and SharePoint
    • Training on Power BI Paginated Reports, Dataflows, and Deployment Pipelines for enterprise-level reporting
    • Live interactive sessions with certified Microsoft professionals and experienced industry trainers
    • Flexible learning modes — Online, Offline, and Self-paced options available
    • Regular assignments, quizzes, mock interviews, and assessments to track learning progress
    • Interview preparation support, resume building, and job placement assistance
    • Industry-recognized course completion certificate upon successful training
    • Dedicated student support and doubt-clearing sessions throughout the course
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    Course Curriculum

    1: Introduction to Power BI

    Learn the fundamentals of Power BI, including its components, architecture, installation, interface, and key features. Understand how Power BI helps in connecting data sources, analyzing data, and creating interactive reports and dashboards for business insights.

    What is Power BI?

    Video · 0:00 - 25:00

    Components of Power BI Ecosystem

    Video · Starts at 1:40

    Understand the Power BI Desktop interface, including the ribbon, report view, data view, model view, and navigation panels. Learn to manage workspaces, create reports, and efficiently navigate Power BI tools and features

    Report View

    Video · 5 min

    Data View

    Video · 5 min

    Ribbon and Navigation Pane

    Video · 5 min

    Learn how to connect Power BI with various data sources such as Excel, databases, cloud services, and online platforms. Understand data import, data refresh, and managing connections to prepare accurate data for analysis and reporting.

    Connecting to Excel Files

    Video · 5 min

    Connecting to SQL Server

    Video · 5 min

    Connecting to Oracle Database

    Video · 5 min

    Orchestrate macro-scale task operations. Evaluate tracking routines inside the management portal, organize group profiles, and debug operational pipeline execution errors via file review.

    Batch Viewer

    Video · 5 min

    Batch Group

    Video · 5 min

    Job Status and Tactics

    Video · 5 min

    Inject program custom logical operations. Map programmatic parameters inside core metadata engines, script Java custom routines, and deploy triggers into processing stages.

    User Objects

    Video · 5 min

    User Object Registry Tool

    Video · 5 min

    Lab: Programming User exit in Java

    Video · 5 min

    12
    Modules
    76
    Lessons
    42h
    Total Duration
    14
    Coding Labs
    4
    Projects
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    Feedback from our Participants

    I finished my Power BI Certification training, which has supported me to enjoy the learning in a very understandable manner. The trainer covered DAX, data modeling, and dashboard design with real business use cases.

    Ankita Kulkarni Power BI Developer

    I would say the instructions provided for Power BI Online Training are really impressive and explanatory. The trainer has practical, real-time experience, and the concepts on Power Query, row-level security, and report publishing were very well explained.

    Jenna Lockhart BI Analyst

    Well, to be honest, I think the trainer is excellent. All the sessions on Power BI Courses were well prepared and demonstrated with real projects, including live dashboards connected to SQL Server. Every doubt was cleared patiently.

    Harsh Sethi Data Visualization Specialist

    Power BI is a business intelligence and data visualization tool developed by Microsoft. It helps users connect to multiple data sources, transform data, create interactive dashboards and reports, and share business insights.

    Excel is mainly used for spreadsheets, calculations, and basic charts, while Power BI is designed for advanced data visualization, dashboard creation, large-scale data analysis, and real-time reporting from multiple data sources.

    DAX (Data Analysis Expressions) is used to create calculated columns, measures, and custom calculations. It helps users perform advanced data analysis and create meaningful business metrics.

    A Report consists of multiple pages with interactive charts, tables, and visuals created from a dataset. A Dashboard is a single-page view that displays important visuals and KPIs from one or more reports for quick monitoring.

    Power BI can connect to Excel files, SQL Server, Oracle Database, SharePoint, Azure services, cloud applications, CSV files, and many other data sources using built-in connectors.

    I would remove unnecessary columns, optimize DAX calculations, use appropriate relationships, reduce data size, implement star schema modeling, enable query folding where possible, and avoid loading unnecessary data.

    I would configure scheduled data refresh in the Power BI Service or use DirectQuery if real-time data access is required. This ensures the report always reflects the latest data from the source.

    Relationships connect tables based on common fields, allowing data from multiple tables to be analyzed together. Proper relationships ensure accurate filtering, calculations, and report results.

    Power BI is a business intelligence and data visualization tool developed by Microsoft. It helps users connect to multiple data sources, transform data, create interactive dashboards and reports, and share business insights.

    Excel is mainly used for spreadsheets, calculations, and basic charts, while Power BI is designed for advanced data visualization, dashboard creation, large-scale data analysis, and real-time reporting from multiple data sources.

    DAX (Data Analysis Expressions) is used to create calculated columns, measures, and custom calculations. It helps users perform advanced data analysis and create meaningful business metrics.

    A Report consists of multiple pages with interactive charts, tables, and visuals created from a dataset. A Dashboard is a single-page view that displays important visuals and KPIs from one or more reports for quick monitoring.

    Power BI can connect to Excel files, SQL Server, Oracle Database, SharePoint, Azure services, cloud applications, CSV files, and many other data sources using built-in connectors.

    I would remove unnecessary columns, optimize DAX calculations, use appropriate relationships, reduce data size, implement star schema modeling, enable query folding where possible, and avoid loading unnecessary data.

    I would configure scheduled data refresh in the Power BI Service or use DirectQuery if real-time data access is required. This ensures the report always reflects the latest data from the source.

    Relationships connect tables based on common fields, allowing data from multiple tables to be analyzed together. Proper relationships ensure accurate filtering, calculations, and report results.

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    Frequently Asked Questions

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