Microsoft Power BI Training By Karthick

DurationDuration:1 months

Batch TypeBatch Type:Weekend and Weekdays

LanguagesLanguages:English, Tamil

Class TypeClass Type:Online and Offline

Class TypeAddress:Ekkatuthangal, Chennai

Class Type Course Fee:Call for fee

Course Content

Tools & Tech : Power BI Desktop | Power BI Service | Power Query | DAX | AI Visuals

Level 1 – Foundation: Power BI Basics & Data Preparation

Introduction to Power BI

What is Business Intelligence & Power BI

Power BI Components (Desktop, Service, Mobile)

Power BI Architecture & Ecosystem

Power BI vs Excel vs Tableau

Installing & Setting up Power BI Desktop

Understanding the Power BI Interface & Navigation

Data Sources & Connections

Supported Data Sources (Excel, CSV, SQL Server, Web APIs)

Connecting to Cloud Sources (SharePoint, Dataverse)

Direct Query vs Import Query

Using Gateways for On-prem Connections

Power Query & Data Transformation

Power Query Editor Overview (M Language Basics)

Data Cleaning: Removing Duplicates, Missing Values, Type Changes

Column Transformations: Merge, Append, Split, Pivot & Unpivot

Derived Columns and Parameterization

Handling Dates & Time Data (Extract, Format, Convert)

Data Modeling Essentials

Understanding Relationships & Keys

Star & Snowflake Schemas

Cardinality & Cross Filter Directions

Building Data Models for Analysis

Basic Visualizations & Reports

Charts: Bar, Line, Pie, Table, Matrix, Card, Map

Slicers & Filters (Page, Visual, Report Level)

Visual Interactions & Drill Down Options

Formatting Visuals & Tooltips

Publishing & Sharing

Publishing Reports to Power BI Service

Creating Dashboards & Workspaces

Power BI Mobile Overview & Usage

Level 2 – Intermediate: Data Modeling & Visualization Expertise

Advanced Data Transformation

Advanced Power Query Functions & Custom Columns

Query Referencing & Merging Techniques

Performance Optimization in Power Query

Intermediate Data Modeling

Hierarchies & Grouping

Aggregations & Calculated Tables

Data Normalization vs Denormalization

Using Calculated Relationships

Introduction to DAX (Data Analysis Expressions)

DAX Syntax, Functions & Context (Basic)

Calculated Columns & Measures

Aggregations (SUM, AVERAGE, MIN, MAX)

Filter Context & Row Context Explained

Advanced Visualizations & Formatting

Using Custom Visuals from Marketplace

Conditional Formatting & Dynamic Colors

Tooltips, Bookmarks, Buttons & Drill Through

Dashboard Design Principles for Impact

Power BI Service & Collaboration

Workspaces, Apps & Permissions

Scheduling Data Refresh & Alerts

Gateway Configuration (Manual & Automatic)

Report Sharing & Version Control

Level 3 – Advanced: Analytics, Integration & Performance

Advanced DAX & Time Intelligence

Advanced CALCULATE, FILTER, IF, SWITCH, VALUES Usage

Time Intelligence Functions (YTD, QTD, MTD, PREVIOUSMONTH)

Running Totals & Dynamic Periods

Variables & RETURN Statements

Advanced Data Modeling & Performance

Large Dataset Optimization

Data Compression & VertiPaq Engine

Query Diagnostics & Performance Analyzer

File Size Reduction Techniques

Security & Governance

Row-Level Security (RLS) Implementation

Dynamic Role-Based Access Control

Power BI Tenant Settings & Data Sensitivity

Governance & Compliance Practices

Power BI Integration & Automation

Power BI with Excel (Analyze in Excel, Pivot Tables)

Power BI & SharePoint Integration

Power BI & Power Apps Integration

Power Automate + Power BI Workflows (Alerts & Approvals)

Connecting to Dataverse

AI & Smart Analytics

AI Visuals: Key Influencers, Decomposition Tree, Q&A

Forecasting & Anomaly Detection

NLP (Q&A for Natural Language Queries)

Using Cognitive Services with Power BI

Deployment & Governance

Deployment Pipelines (Dev, Test, Prod)

Version Control & Workspace Management

Dataflow Management & Entity Creation

Monitoring & Audit Logs

Real-Time Reporting

Streaming Datasets & Push Data

Direct Query vs Live Connect Best Practices

Creating Live Dashboards & Alerts

Level 4 – Capstone & Career Modules

Capstone Project

End-to-end real-world Power BI project:

Requirement Analysis & Data Source Setup

Data Modeling & Transformation

DAX Calculation & Advanced Visual Design

Publishing to Power BI Service with RLS

Integration with Power Apps / Power Automate

Power BI Report Server & Paginated Reports

Introduction to Report Server (RDL)

Designing Paginated Reports for Enterprises

Deploying Reports to On-Prem Servers

Career & Professional Development

Resume & Portfolio Building for Data Roles

LinkedIn, GitHub, Naukri Profile Optimization

Mock Interviews & HR Training

Career Path Guidance & Certification Prep (Microsoft PL-300 / DA-

100)

Skills

Analytical Packages (ms-excel, Ms-power Bi), Power Bi Dashboard, Power Bi, Power BI, Microsoft power bi

Institute

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Karthick

Karthick is an experienced Microsoft Power Platform and Power BI trainer with 12 years of professional teaching and industry experience. He specializes in ...

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