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  • Business Intelligence

Power BI - Data Analysis & Visualization

  • By Eduzek
  • Certified & Industry-Expert Trainers

Course Description

Master data analysis, visualization, and dashboard creation using Microsoft Power BI with real-world datasets and hands-on labs.

What you'll learn in this course?

Perfect for analysts, business users, and freshers aiming to work with data and create impactful dashboards.

  • Understand Business Intelligence concepts and Power BI architecture

  • Connect to various data sources including SQL Server, Excel, SharePoint, and Web APIs

  • Transform and model data using Power Query and relationships

  • Create and customize reports and dashboards with visuals and DAX expressions

  • Publish, share, and manage reports on Power BI Service

  • Implement Row-Level Security (RLS) and manage data refreshes

Includes in-class projects, real-world datasets, and hands-on labs for practical experience.

Course Curriculum

Step-by-step coverage from Business Intelligence fundamentals to publishing interactive dashboards and managing enterprise-level deployments.

  • Business Intelligence Concepts
  • Stages and Use Cases of BI
  • Overview of BI Tools
  • Introduction to Power BI, Components, Pricing
  • Architecture and Installation of Power BI Desktop

  • Overview of Power BI Interface
  • Understanding Building Blocks
  • Creating a Simple Report
  • Overview of Power BI Workflow

  • Connecting Excel, CSV, and PDF Files
  • Importing Data from Folders
  • Using SaaS Connectors
  • Introduction to Power Query Editor
  • Connecting to SQL Server (Import, Direct), SQL Query, and Azure SQL
  • Extracting Data from Web, OData, SharePoint
  • Build Reports Using Existing Semantic Models

  • Shaping and Formatting Data
  • Understanding Data Types
  • Basic Transformations (Rename, Split, Merge, Move)
  • Applied Steps Overview
  • Merge Queries and Append Queries
  • Using Parameters in Queries
  • Grouping and Aggregating Data
  • Creating Custom and Conditional Columns

  • Building Relationships between Tables
  • Understanding Cardinality and Cross-Filter Direction
  • Handling Inactive Relationships
  • Data Modeling Best Practices

  • Data Visualization (Column, Bar, Line, Area, Doughnut)
  • Charts and Tables (Add Conditional Formatting, Sparklines)
  • Creating KPIs, Waterfall Chart, Funnel Chart, Maps Chart
  • Forecast, Linear, Exponential Equations, Trend Analysis
  • Using Filter Pane and Slicer
  • Custom Visuals and Visual Marketplace
  • Drill-Through Analysis
  • Dual Axis and Combo Charts
  • Managing Hierarchies

  • Drill Down and Drill Through Concepts
  • Page Navigation and Bookmarks
  • Conditional Formatting in Visuals
  • Managing Visual Interactions

  • Purpose of DAX
  • Creating Calculated Tables, Measures, Columns, Visual Calculations
  • Understanding Row and Filter Context
  • Aggregations (Sum, SumX, Count, CountX, CountAX, etc.)
  • Time Intelligence (NextYear, NextMonth, SamePeriodLastYear, YTD, etc.)
  • Filter Functions (All, AllExcept, Calculate, AllSelected, etc.)
  • Relationship Functions (Related, RelatedTable, UseRelationship, etc.)
  • Table Functions (Distinct, GroupBy, Union, Intersect, Filter, Except, etc.)
  • Logical Functions (IF, Switch, And, Or, Nested, etc.)
  • Creating Cumulative Metrics
  • Implementing Ranking Functions

  • Publishing Reports to Power BI Service
  • Creating Dashboards, Sharing and Managing Reports
  • Building Real-Time Dashboards and Monitoring Data Refresh Schedules
  • Building and Managing Workspaces
  • Dashboard vs Report Differences
  • Sharing Reports and Setting Up Subscriptions
  • Managing Usage Metrics and Alerts
  • Implementing Row-Level Security (RLS)
  • Working with Dataflows
  • Incremental Data Refresh and Deployment Pipelines

  • Overview of Data Gateway
  • Installation and Configuration
  • Scheduling Data Refreshes
  • Gateway Troubleshooting

  • Connecting and Transforming Complex Data
  • Building Relationships and Using DAX
  • Creating Advanced Visualizations
  • Managing Workspaces and Sharing
  • Implementing Security Policies and RLS
  • Connecting Real-Time Data
  • Embedding Reports Using API
  • Working with Premium Features like Dataflows and Pipelines

Frequently Asked Questions

This course is Beginner to Intermediate level. Duration is 30 hours.

This course is available as 1:1 Training, Corporate Batch. Public batches are conducted online; 1:1 and Corporate training can be delivered offline, based on request.

Eduzek Trainer

Industry Practitioner & Skilled Mentor

Eduzek trainers are industry experts and certified professionals. With practical insights and a student-first approach, they guide learners through real-world scenarios and ensure strong conceptual understanding across all skill levels. A course completion certificate is provided.

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Choose Your Training Format

Public batches are conducted online. 1:1 and Corporate training can be delivered offline, based on request.

1:1 Training

Private sessions, paced and scoped to your goals and timeline.

Get A Quote

Corporate Batch

Tailored for your team's tools and workflows, flexible scheduling, certification available.

Request Corporate Training

Price for Corporate and 1:1 training is different for every requirement -- request a quote and we'll get back to you.

Final pricing depends on scope, duration, skill and trainer availability -- the figure above is an indicative starting point. Request a quote for an exact number.

This Course Fee:

₹20000₹25000

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Course includes:
  • img Level Expert
  • img Duration 30 hours
  • img Mode Online
  • img Certification Yes
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