• What is Power BI?

        Overview and Features of Power BI

        Understanding the Power BI Ecosystem: Power BI Desktop, Power BI Service, and Power BI Mobile

• Installing Power BI Desktop

        Installation steps

        Overview of the Power BI Interface

• Power BI Architecture

        Data Connections

        Data Modeling

        Reports and Dashboards

• Loading Data

        Importing data from Excel, CSV, SQL Server, Web, and other sources

        Power BI data connectors

• Data Transformation with Power Query

        Data Cleaning (Removing duplicates, filtering rows, etc.)

        Merging and appending data

        Basic transformations (Changing data types, splitting columns)

• Working with Multiple Tables

        Creating relationships between tables (One-to-one, one-to-many, many-to-many)

        Managing relationships in the model view

• Understanding Data Models

          Star Schema vs Snowflake Schema

          Fact and Dimension tables

• Creating Calculated Columns and Measures

          DAX (Data Analysis Expressions) introduction

          Basic DAX functions (SUM, COUNT, AVERAGE, etc.)

          Conditional columns (IF, SWITCH)

          Measures vs Calculated Columns

• Time Intelligence in DAX

          Date functions (YEAR, MONTH, DAY)

          Time-based calculations (Cumulative total, YTD, MTD)

• Types of Visualizations

          Bar Charts, Line Charts, Pie Charts

          Tables and Matrix

          Slicers and Filters

• Customizing Visuals

          Formatting options

          Conditional Formatting

          Drill-through and Drill-down features

• Using Visual-Level, Page-Level, and Report-Level Filters

          Creating interactive reports with filters

• Advanced Charts and Visuals

          Waterfall Charts, Scatter Plots, Gauge Charts, KPIs

          Custom Visuals (Using Power BI marketplace)

• Creating Interactive Dashboards

          Synchronizing slicers across multiple pages

          Designing responsive and dynamic dashboards

• Bookmarking and Selections

          Using Bookmarks for storytelling

          Creating dynamic reports with selection pane

• Publishing to Power BI Service

          How to publish reports to Power BI Service

          Understanding workspaces and datasets

• Sharing and Collaborating

          Sharing reports with colleagues and stakeholders

          Collaborating with Power BI workspaces

          Creating dashboards from reports

• Power BI Apps

          Creating and using Power BI apps

• Row-Level Security (RLS)

          Configuring RLS in Power BI

          Managing security roles for different users

• Data Refresh

          Setting up scheduled data refresh

          Understanding Direct Query vs Import mode

• Version Control and Audit Logs

          Managing datasets and report versions

          Using Power BI Audit Logs

• Power Query M Language

          Introduction to M code

          Writing custom queries

• Advanced DAX

          Advanced DAX Functions (FILTER, ALL, CALCULATE, etc.)

          Time Intelligence and Advanced Calculations

• Power BI REST API

          Overview of Power BI REST API

          Automating report publishing using API

• Power BI Integration with Other Tools

          Power BI with Excel, SharePoint, Teams, etc.

          Using Power Automate with Power BI for workflow automation

• Report Design Best Practices

          Designing clean and intuitive reports

          Color theory and effective use of visuals

• Optimizing Power BI Performance

          Techniques for improving report performance (e.g., reducing query load, optimizing data model)

• Troubleshooting Common Issues

          Resolving common issues related to data refresh, report sharing, etc.

• Embedding Power BI Content

          Embed Power BI reports using REST APIs.

          Embed Power BI dashboards using REST APIs.

• Authentication and Interaction

          Authenticate and retrieve Power BI content using APIs.

          Interact with embedded reports and dashboards.

• Project Overview

          Working with real-world datasets to create a full Power BI report

• Project Steps

          Data import and transformation

          Data modeling and DAX calculation

          Visualizations and dashboard creation

          Publishing and sharing the report