• Course Introduction

• Course Structure & Outline

• What is Data Analytics

• Who is a Data Analyst

• Roles & Responsibilities of Data Analyst

• Steps of Data Analytics

• What are the Data Analytics tools

• Power BI vs Tableau vs QlikView

• Introduction to Power BI

• Why Power BI?

• How to get it?

• Power BI Journey

• Building Blocks of Power BI

• Power BI components

• Power BI Pricing structure

• The architecture of Power BI

• Introduction to Power BI Desktop

• Installation of Power BI Desktop

• Overview of Power BI Desktop

• Data Sources in Power BI

• Using files (Excel, PDF, CSV, etc.) as a data source

• Using SaaS connectors

• Extracting data from folders and databases

• Types of Data Connectors

• Connecting to a Database

• Extracting Data from the Web

• Working with Azure SQL database and database sources

• Connecting to Analysis Services

• Other Data Sources (OData, web, SharePoint, etc.)

• Shaping data using Power Query Editor

• Formatting data

• Transformation of Data

• Understanding of Data types

• Data profiling for data quality check

• Working with Parameters

• Merge Query / Tables

• Append Query / Tables

• Group by of Data (Aggregation of Data)

• Applied steps (Query Settings)

• Duplicate and Reference tables

• Transpose of data

• Fill Columns

• Pivot & Un-pivot of data

• Custom Columns

• Conditional Columns

• Replace data from the tables

• Split columns values

• Move columns and sorting of data

• Detect data type, count rows, and reverse rows

• Promote rows as column headers

• Hierarchies in Power BI

• Power Query M Language Purpose

• Data QA & Profiling Tools

• Text Tools

• Numerical Tools

• Date & Time Tools

• Change Type with Locale

• Index & Conditional Columns

• Data Source Settings

• Refreshing Queries

• Automating queries with parameters & functions

• Power Query Architecture and ETL

• Data Types, Literals & Values

• Date, Time & Structured Data

• List, Record & Table Structures

• Power Query Functions, Parameters

• Invoke Functions, Execution Results

• Get Data, Table Creations & Edit

• Join Kinds, Advance Editor, Apply

• ETL Operations with Power Query

• Header Row Promotion

• Reverse Rows and Row Count

• Data Type Changes & Detection

• Replace Columns: Text, non-Text

• Replace Nulls: Fill Up, Fill Down

• Move Column

• Extract, Format, and Numbers

• Date & Time Transformations

• Deriving Year, Quarter, Month, Day

• Add Column: Query Expressions

• Query Step Inserts and Step Edits

• Changing Parameters in Power Query

• Parameters Data Types, Default Lists

• Static/ Dynamic Lists for Parameters

• Removing Columns and Duplicates

• Convert Tables to List Queries

• Linking Parameters and PBI Canvas

• Multi-Valued Parameter Lists

• Creating Lists in Power Query

• Converting Lists to Table Data

• Advanced Edits & Parameters

• Data Type Conversions, Expressions

• Columns From Examples, Indexes

• Conditional Columns, Expressions

• Deep dive into Power BI Data Visualization

• Data visualization Techniques

• Page layout and Formatting

• Power BI Desktop Visualization

• Introduction to Visuals/ Charts / Graphs available in Power BI (Free & Paid)

• Cards & Multi-Row Cards

• Building & Formatting Charts

• Pie & Donut Chart & Treemap

• Line Charts

• Bar & Column Chart

• KPI Cards

• Basic Filtering Options

• Table & Matrix Visuals

• Conditional formatting

• Top N Filtering

• Top N Text Cards

• Map Visuals

• Report Slicers

• Gauge Charts

• Area Charts

• Date Hierarchy

• Drill Up & Drill Down

• Drill through Filters

• Editing Report Interactions

• Numeric Range Parameters

• Fields Parameters

• Importing Custom Visuals

• Waterfall chart, KPI, Donut chart, Scatter chart

• Geographical data visualization using Maps

• Understanding Power View and Power Map

• Managing & Viewing Roles

• Mobile Layouts

• Formatting and customizing visuals

• Visualization Interaction

• Custom visualization in Power BI

• Top-down and bottom-up analytics

• Page navigations

• Bookmarks

• Selection pane to show/hide visuals

• Comparing volume and value-based analytics

• Combination charts (dual axis charts)

• Filter pane

• Slicers

• Sync Slicers

• Use of Hierarchies in drill-down analysis

• Theme for corporate standards

• Power BI template for design reusability

• Mastering the best practices

• Performance analyzer in Power BI for monitoring the performance of the report

• Power BI Q&A (Natural Language Query visual)

• Tooltips and custom tooltips

• Conditional formatting on visuals

• Elements (Text, Image, Shape & Buttons)

• PBIX & PBIT Format

• Visual Interaction & Data Points

• Disabling Visual Interactions

• Edit Interactions (Format Options)

• CSV & PDF Exports

• Data Modelling Options In DAX

• Database Normalization

• Primary & Foreign Keys

• Relationships vs. Merged Tables

• Creating Table Relationships

• Managing & Editing Relationships

• Relationship Cardinality

• Hiding Fields from Report View

• Data Formats & Categories

• Creating Hierarchies

• Detecting Relations for DAX

• Data Model & Star Schema

• Introduction of DAX

• Why is DAX used?

• DAX: Importance in Real-time

• Real World usage of DAX

• DAX Architecture, Entity Sets

• DAX Syntax

• DAX Operators, Special Characters

• DAX Data Types

• Calculated columns using DAX

• Measures using DAX

• Implicit vs. Explicit Measures

• Quick Measures

• Calculated tables using DAX

• Creating, and Using Measures with DAX

• Creating, and Using Columns with DAX

• Using Calculated Columns in DAX

• Using Aggregated Measures in DAX

• Quick Measures

• DAX functions Categories

• Aggregation functions

• Date and time functions

• Filter functions

• Logical functions

• Text functions

• Introduction to Power Q & A

• Ask questions about your data using natural query language

• Getting answers in the form of charts, graphs, and data discovery methodologies

• Power Q&A best practices

• Smart Narratives

• Q&A Visuals

• Key Influencers

• Real-time projects: To create Executive reports & Dashboards in Power BI Desktop & Power BI Online

• Tips & Tricks

• Story Telling

• Getting Insights from Your Data

• Introduction

• Power Service Administration

• Connecting to Databases

• Understanding Dataflows

• Working with DAX

• Creating Reports & Dashboards

• Sharing & Collaboration

• Implementing row-level security in Power BI

The Power BI Course is a comprehensive, recorded training program designed to teach users how to effectively use Power BI for data analysis and visualization.

This course is intended for business professionals, data analysts, and anyone interested in learning how to use Power BI to analyze data and create interactive dashboards.

No prior experience with Power BI is required. However, basic knowledge of data analysis and familiarity with Excel can be helpful.

Once purchased, you will have lifetime access to the course materials, including any future updates.

The course covers a wide range of topics including data import and transformation, data modeling, creating and customizing visuals, DAX (Data Analysis Expressions), and sharing reports and dashboards.

Yes, the course can be accessed on multiple devices including desktops, laptops, tablets, and smartphones.

Yes, you can reach out to the course instructors or join the community forum for support and to ask questions.

Yes, the course includes practical, hands-on projects and assignments to help you apply what you’ve learned and gain real-world experience.

Yes, upon successful completion of the course, you will receive a certificate of completion.

Typically, the course videos are not available for download to ensure content protection, but you can access them online anytime through the course platform.

The course is self-paced, allowing you to complete it at your own speed. On average, it takes about 20-30 hours to go through all the materials and complete the hands-on projects.

Absolutely! The skills and knowledge gained from this course will help you prepare for Microsoft Power BI certification exams, such as the PL-300: Microsoft Power BI Data Analyst.

Absolutely! The skills and knowledge gained from this course will help you prepare for Microsoft Power BI certification exams, such as the PL-300: Microsoft Power BI Data Analyst.

You will need a computer with internet access, Power BI Desktop (which is free to download from the Microsoft website), and optionally, Excel for some of the exercises.

Yes, the course covers both Power BI Desktop for creating reports and the Power BI Service for sharing and collaborating on dashboards.

The lessons are structured into modules, each containing video lectures, practical exercises, quizzes, and projects. This ensures a balanced approach to learning both theoretical concepts and practical skills.

If you experience any technical issues, you can contact the course provider’s technical support team for assistance. They are typically available via email or live chat.