Power BI Course: Beginner to Pro | PL-300 Exam Aligned
About Course
Welcome to this complete Power BI course, designed for anyone looking to excel in business intelligence and data analytics. An industry expert has carefully crafted this course to take you step-by-step from beginner to advanced levels, ensuring you gain practical skills.
You will start by working on a real-world project, where you’ll learn to create interactive reports and dashboards from scratch. The course aligns with the Microsoft Certified Data Analyst Associate PL-300 certification exam and covers all the important features of Power BI. You’ll also discover insider tips, such as using custom filter panes to improve report interactivity.
Throughout the course, you will tackle practical business scenarios. For instance, you’ll transform raw data into dynamic reports that reveal insights into sales trends, campaign performance, product analytics, and regional revenue. These projects will help you apply Power BI in real-world situations, giving you the confidence to use it professionally.
What You Will Learn
- Power BI Desktop: You’ll begin by exploring the interface. You’ll also learn how to clean and transform your data to make it ready for analysis.
- Data Modelling: Next, you’ll build flexible models. You will understand relationships, cardinality, and how to manage filter contexts effectively.
- DAX (Data Analysis Expressions): Afterwards, you’ll work with DAX to create dynamic measures and calculated columns. You will gain the ability to extract deeper insights from your data.
- Visualisation Skills: As you progress, you’ll explore various Power BI visuals, including AI-powered visuals. You’ll also learn how to optimise your reports to make them faster and more responsive.
- Power BI Service: Finally, you’ll move from Power BI Desktop to the cloud-based Power BI Service. You will learn how to share and collaborate on reports, while also ensuring they are secure and always up-to-date with auto-refresh schedules.
By the end of this course, you will be able to develop advanced, interactive reports and dashboards on your own. You’ll be well-prepared to take on professional projects and confidently pass the PL-300 certification exam.
Additional Benefits of This Course
- You’ll learn through practical, hands-on projects that mirror real-world scenarios.
- The course is designed for both beginners and advanced learners, so no prior experience with Power BI is required.
- You’ll also gain valuable insights into Power BI best practices, which will make your reports stand out.
- Our support team is available to assist you throughout your learning journey, so you’ll never feel stuck.
By enrolling in this course, you’ll equip yourself with the skills to create impactful business reports, making you a valuable asset in any organisation. Don’t miss this opportunity to master Power BI and accelerate your career!
What Will You Learn?
- Build professional business intelligence reports from the ground up
- While working on real world project, clean and Transform raw data into professional interactive dashboards
- Data Analytics Expressions (DAX), Data Modelling, Creating and managing relationships among tables
- Data Visualisation using Microsoft Power BI Desktop & Service
- Creating and managing workspace, Apps, data refreshes , assigning roles and other settings
- Become Master in Microsoft Power BI Desktop and Service
Course Content
Introduction
Here is the introduction to this power bi course. It will take you through the contents at high level and will clear expectations about the course.
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Introduction – What to expect from the course
04:13 -
Know you trainer
01:21 -
Download Rescourses
01:58 -
Downloading & Installing Power BI Desktop
04:11 -
Introduction to Power BI Interface
05:43
Data Cleaning and Transformation with Power BI Desktop
After getting the things ready as guided in introduction section. Now its time to master the power query editor to clean and transform the data for flexible data modelling ,visually appealing and insight full reports and dashboard.
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Connecting to Data
03:02 -
How to Remove Rows from table
05:21 -
Adjusting or Changing Data Types of Columns
02:42 -
Adding Index Column and understanding alternate rows removal
05:45 -
How to Keep Rows
03:36 -
How to Choose Columns
01:43 -
Renaming Columns
01:46 -
Column Sorting
00:50 -
Column Profiling and Distribution
06:21 -
How to enable column profiling and distribution for entire rows in table
01:29 -
Concept of Appending Tables
01:41 -
Lets Append Tables
00:00 -
Adjusting Column Data Types in our Project
03:13 -
Splitting a Column
03:06 -
Arithmetic on Column
01:05 -
Adding a Conditional Column
02:23 -
How to merge tables on columns
04:47 -
Understanding & Exploring different mergers available in Power BI
20:48 -
How to add a Custom Column
01:42 -
How to add Column by Example
03:28 -
How to duplicate a Column
01:07 -
Column Formatting
05:48 -
Extracting from a Columns
05:02 -
How to Perform Scientific Calculations on a Column
03:34 -
Trigonometric Calculations on a Column
01:13 -
Rounding Numbers in a Column
02:05 -
Information on Columns
02:00 -
Date & Time Column Transformations
14:58 -
Group By Transformation
06:56 -
Transpose of a Table
02:32 -
Reversing Rows of a Table
01:32 -
How to Count Rows
00:36 -
How to Fill Rows
03:01 -
Pivot columns
03:40 -
Unpivot Columns
04:08 -
Data Cleaning & Transformation
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Assignment No: 1
Data Modelling and Data Analytics Expression (DAX)
It's time to gain knowledge about various data models and acquire proficiency in creating data models within Power BI. Additionally, let's develop and enhance skills in crafting DAX expressions to extract insights from cleaned and transformed data.
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Introduction to DAX
03:37 -
Understanding Time Intelligence Part 1
01:41 -
Understanding Time Intelligence Part 2
02:24 -
Date Table by Calendar ( ) Function
07:51 -
Date Table by CalendarAuto ( ) Function
03:35 -
Understanding and Creating Date Hierarchies in Date Table
05:31 -
Extracting Year with Year ( ) Function
02:20 -
Extracting Month with Month ( ) Function
03:19 -
Extracting Week number with Weeknum ( ) Function
03:37 -
Extracting Quarter number with Quarter Function
02:02 -
Implementing Date Hierarchies Manually
04:18 -
Creating a Separate Table for Measures
01:51 -
DAX Function SUM ( )
04:20 -
DAX Functions MAX ( ) & MIN ( )
06:16 -
DAX Function COUNTROWS ( ) & AVERAGE ( )
07:41 -
DAX Function CALCULATE ( )
12:38 -
DAX Function TOTALYTD ( )
09:52 -
DAX Function DATEADD ( )
06:30 -
DAX , Arithmetic among measures
00:00 -
DAX Function IF ( ) Part 1
13:05 -
DAX Function IF ( ) Part 2
03:24 -
DAX Function SWITCH ( )
08:16 -
DAX VARIABLES
00:00 -
DAX Functions FIRSTNONBLANK ( ) and LASTNONBLANK ( )
13:45 -
Adjusting Stock Table Dates Hierarchy
00:00 -
DAX Function SAMEPERIODLASTYEAR ( )
09:31 -
Data Model View – Properties pane and Display Folders
10:21 -
Data Model View – Properties pane Continue
00:00 -
What is Data Modeling?
02:37 -
Types of Data Model
00:00 -
What is Cardinality? one-to-many Relation
07:09 -
Cardinality – one-to one Relation
00:00 -
Cardinality – many-to-many
00:00 -
Hiding Tables using Model View
00:00 -
Data modeling for our Project – Part 1
00:00 -
Data modeling for our Project – Part 2
00:00 -
Data Modelling and DAX
Data Visualisation and Creating Dynamic Reports and Dashboards
Let's gain proficiency in crafting accurate visual representations of datasets to ensure clarity and comprehension for end users. Deploying appropriate visualisations is crucial for end users to make informed decisions.
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Giving Stylish Heading to Dashboard – Shapes & Text
04:33 -
Deploying Card Visual and its formatting
06:46 -
Card Visual with Currency Sign
01:33 -
Deploying 2nd Card Visual
04:53 -
Quick Deployment of Card Visual with formatting copied – adding one more measure
04:26 -
Deploying Line Chart
03:39 -
Formatting the Visuals e.g. Line Chart – Part 1
08:00 -
Formatting the Visuals e.g. Line Chart – Part 2
14:16 -
Formatting the Visuals e.g. Line Chart – Part 3
10:37 -
Deploying Column Clustered Chart with Hierarchical X-Axis
10:09 -
Understanding Filter Context and Relationships in Data Model View
03:17 -
Deploying Donut Chart
05:52 -
Star Schema Data Model Flexibility and Dataset Adjustment
09:32 -
Adding Constant Lines in Line Chart
08:37 -
Enabling Map Visuals from Settings
01:17 -
Deploying Filled Map Visual
08:27 -
Map Visual
03:28 -
Deploying Area Chart Visual
05:21 -
Deploying Area Chart Visual for YTD Values
04:52 -
Visualising Top 10 Products by Sales
05:36 -
Deploying Waterfall Chart Visual
09:47 -
Visualising further Sales KPIs using Cards
03:15 -
Adding Realistic Target in our Dataset
06:23 -
Deploying KPI Card Visual and a Slicer
15:03 -
Slicer Interaction Explained
05:46 -
Interaction among visuals Explained
05:29 -
Controlling or Editing Interactions among Visuals
06:29 -
Deploying Table Visual
11:22 -
Deploying Matrix Visual
08:16 -
Conditional Formatting of a Column of Table
06:03 -
Conditional Formatting of Column Chart Visual
06:59 -
Deploying AI Visual – Q&A
07:35 -
Understanding AI Visual – Key Influencers
03:53 -
Deploying AI Visual – Key Influencers
11:42 -
Book Marks
11:15 -
Adding Real Targets in Line Graph Visual
08:13 -
Introducing the Advance Tool Tip
04:45 -
Implementing the Advance Tool Tip
11:57 -
Use of Parameters
08:45 -
Navigation Buttons
03:33 -
Implementing Drill Through Report Pages
11:04 -
What is Grouping?
07:36 -
What is Binning?
08:17 -
Themes for the Report
07:33 -
Mobile Layout of the Report
06:34 -
Implementing Pro-Custom Filter Pane Part 1
07:18 -
Implementing Pro-Custom Filter Pane Part 2
25:03 -
Pro Tip – Copying entire Custom filter pane Part – 1
05:02 -
Pro Tip – Copying entire Custom filter pane Part – 2
04:15 -
Formatting Slicer as per theme
02:06 -
Page Formatting
02:11 -
Editing interaction of slicers with visuals in our Project
02:20 -
Implementing Special Button – Clear All Filters
03:39 -
Data Visualisation , Reports and Dashboards
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Assignment No: 2
Power BI Service : Publishing and Managing Assets
You'll learn how to publish Power BI reports to the Power BI service. You'll also learn how to create workspaces, Apps, manage related items, schedule data refreshes, deploying pipelines, RLS and data gateway implementations and much more. It's time to master power bi service environment
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Introduction to Power BI Service
03:23 -
Power BI Service License Types
07:55 -
Signing into Power BI Service and Workspaces
03:28 -
Creating a Worksapce
02:37 -
Publishing Report in Power BI Service Workspace
05:10 -
Sharing Reports with others in Power BI Service
03:06 -
Workspaces, Apps and User Roles
05:55 -
Managing Access to Workspace and Assign roles
03:41 -
Dashboard in Power BI Service
05:42 -
Creating and Sharing Power BI App
10:26 -
Updating App Contents
03:11 -
Managing Access to App
02:10 -
Alerts, Subscription and downloading of Reports
09:31 -
What is On-Premises Data Gateway ?
04:48 -
Removing Existing Data Gateway
01:39 -
Deploying Data Gateway and Scheduling Auto Refresh
16:13 -
Understanding & Implementing Row Level Security (RLS)
08:01 -
Row Level Security (RLS) Configuration in Power BI Service
03:24 -
Dynamic Row Level Security (RLS)
07:18 -
Understanding Incremental Refresh
03:26 -
Implementing Incremental Refresh
15:23 -
Getting Quick Insights on Dataset from Power BI Service
03:38 -
Endorsement of Semantic Models etc
04:01 -
Performance Analyzer
07:23 -
Tips to Enhance Report Performance
05:29 -
Power BI Service : Publishing and Managing Assets
Additional Content: Deploying Pipelines
For collaboration , pipelines are the best way to manage development, testing and production environments.
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Understanding Deployment Pipelines and Configuring in Power BI Desktop
09:06 -
Understanding License requirements and deploying Pipelines
10:33 -
Configuring Pipelines in MS Power BI
16:12