Learn Power Bi And Ace The Pl-300 Exam On Your First Attempt

Become a PL-300 Power BI Data Analyst Associate with Real-World Projects and Certification Exam Preparation

What you'll learn

Build end-to-end Power BI project from scratch.

Clean, transform, and model data for effective analysis.

Create dynamic dashboards and visualizations.

Master DAX for advanced calculations and insights.

Learn best practices for managing and securing Power BI content.

Tackle PL-300 certification exam questions with confidence.

Requirements

None! This course is designed for complete beginners. No prior experience with Power BI or data analysis is required.

Description

This course was developed using the most recent version of Power BI Desktop.The only course you need to clear the PL-300 certification and master Power BI from scratch! This comprehensive program is designed to help you become a certified Power BI Data Analyst Associate while equipping you with real-world skills to tackle data challenges and advance your career in data analytics.What sets this course apart? It’s project-based! You’ll work on a complete Power BI project from start to finish, using provided datasets to learn data preparation, modeling, visualization, and analysis. Alongside practical learning, you’ll gain access to sample PL-300 exam questions with step-by-step solutions, ensuring you’re fully prepared for the certification.Our detailed curriculum covers:Prepare the Data: Connect, clean, and transform datasets efficiently.Model the Data: Build robust data models and write advanced DAX calculations.Visualize the Data: Create dynamic dashboards and interactive reports.Manage and Secure Power BI: Publish, share, and govern your content effectively.Additionally, the course provides pro tips, best practices, and troubleshooting guidance to help you handle real-world scenarios. By the end of this course, you’ll have the confidence to ace the PL-300 exam, create professional Power BI projects, and impress stakeholders with actionable insights that drive decisions.

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 Skills Measured

Lecture 3 What is Power BI?

Lecture 4 Power BI Installation

Section 2: Prepare the data

Lecture 5 Connect to data sources

Lecture 6 Configure Data Source Settings

Lecture 7 Storage Mode

Lecture 8 Create and Modify Parameters

Lecture 9 Understand Project Dataset and import the data

Lecture 10 Data Profiling

Lecture 11 Resolve Inconsistencies and Data Quality Issues

Lecture 12 Custom Column

Lecture 13 Index Column

Lecture 14 Conditional Column

Lecture 15 Column from examples

Lecture 16 Group and aggregation

Lecture 17 Pivot, Unpivot and Transpose

Lecture 18 Merge Queries

Lecture 19 Append Queries

Lecture 20 Configure Data Loading

Lecture 21 Facts and Dimension Tables

Lecture 22 Duplicate and Reference

Lecture 23 M code

Section 3: Model the data

Lecture 24 Data Modelling Introduction, Common Schemas

Lecture 25 Define the Relationship

Lecture 26 Cross filter

Lecture 27 Table and column properties

Lecture 28 DAX Introduction

Lecture 29 DAX - Information function

Lecture 30 DAX - Text functions

Lecture 31 DAX - Date and time functions

Lecture 32 DAX - Related function

Lecture 33 DAX - Logical Functions

Lecture 34 Measures

Lecture 35 Basic Statistics Measures

Lecture 36 Iterators

Lecture 37 Calculate

Lecture 38 Date Table

Lecture 39 Active Vs Inactive Relationship

Lecture 40 Role playing dimension

Lecture 41 Time Intelligence Functions

Lecture 42 Semi-Additive Measures

Lecture 43 Quick Measures

Lecture 44 DAX Vs M Code

Lecture 45 Measure table and improve model performance

Lecture 46 Identify poorly performing measures, relationships, and visuals

Section 4: Visualize and Analyze the data

Lecture 47 Select an appropriate visual

Lecture 48 Clustered Column and bar chart

Lecture 49 Format a visual

Lecture 50 Stacked Charts

Lecture 51 Pie, Donut, TreeMap

Lecture 52 Line, Area Charts

Lecture 53 Combo Charts

Lecture 54 Ribbon Chart

Lecture 55 Waterfall Chart

Lecture 56 Hierachies and drill down

Lecture 57 Funnel Chart

Lecture 58 Scatter Chart

Lecture 59 Custom Tooltip

Lecture 60 Card Visuals

Lecture 61 KPI, Gauge Chart

Lecture 62 Conditional Formatting

Lecture 63 Apply Sorting

Lecture 64 Apply Themes

Lecture 65 Filters

Lecture 66 Slicers

Lecture 67 Add logo and Report Formatting

Lecture 68 Bookmark and Selection

Lecture 69 Drillthrough Navigation

Lecture 70 Sync Slicers

Lecture 71 Edit Interactions

Lecture 72 Work with Geographic data

Lecture 73 AI Visual - Q&A

Lecture 74 AI Visual - Decomposition tree

Lecture 75 Analyze Feature

Lecture 76 Group and bins

Lecture 77 Reference Lines

Lecture 78 Forecasting

Lecture 79 Configure Page Navigation

Lecture 80 Design Reports for Mobile Device

Section 5: Manage and secure Power BI

Lecture 81 Subscription Model

Lecture 82 Sign Up to Power BI Service

Lecture 83 Workspace creation

Lecture 84 Publish the report

Lecture 85 Assign Workspace roles

Lecture 86 Create and update Workspace App

Lecture 87 Publish, import, or update items in a workspace

Lecture 88 Create Dashboards

Lecture 89 Configure Subscription and alerts

Lecture 90 Promoted and Certified

Lecture 91 Identify when a gateway is required

Lecture 92 Schedule Refresh

Lecture 93 Configure item-level access

Lecture 94 RLS

Lecture 95 Dynamic RLS

Lecture 96 Export Settings

Section 6: Exam Readiness

Lecture 97 Sample Questions (1-10)

Lecture 98 Sample Questions (11-20)

Lecture 99 How to schedule the exam

Anyone who wants to learn Power BI from scratch.,Individuals preparing for the Microsoft Certified: Power BI Data Analyst Associate (PL-300) exam.,Professionals looking to enhance their data analysis and visualization skills.