Microsoft Power Bi Data Analyst: Pl-300 Certification Prep

Microsoft Power Bi Data Analyst: Pl-300 Certification Prep
Published 12/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Build Power BI expertise. Learn Data Preparation, Modeling, Visualization, Deployment to ace the Microsoft PL-300 Exam.

What you’ll learn

Prepare for the PL-300 Exam: Practice with mock exams and case studies tailored for the Microsoft Power BI Data Analyst certification.

Understand Data Analytics Foundations: Gain a comprehensive understanding of data analytics concepts, roles, and latest trends in the field.

Explore Types of Data Analysis: Learn the differences between descriptive, diagnostic, predictive, and prescriptive analytics and their practical applications.

Understand Power BI Architecture: Familiarize yourself with the components of Power BI, including Desktop, Service, Mobile, and Premium, and their integration.

Master Data Preparation Techniques: Connect to and transform raw data, handle missing values, and manage multiple data sources using Power Query.

Build Robust Data Models: Develop data models with star schemas, create relationships, and apply advanced DAX calculations for effective data analysis.

Enhance Data Security: Implement Row-Level Security (RLS) to manage and restrict data access.

Create Interactive Visualizations: Design engaging and interactive reports, dashboards, and KPIs that facilitate better decision-making.

Optimize Reporting Performance: Learn techniques to optimize Power BI reports for faster performance and scalability.

Explore Deployment and Maintenance: Deploy Power BI reports, manage governance and security, and leverage Power BI Premium and API integrations for enterprises.

Leverage the Power Platform Ecosystem: Understand the functionalities of Power Automate, Power Apps, Power Pages, and their integration with Power BI.

Understand Microsoft Fabric: Explore Microsoft Fabric’s capabilities in data governance, pipelines, and integration with Power BI and the Power Platform.

Implement Advanced Power Platform Use Cases: Develop AI-enhanced workflows, multi-stage processes, and custom connectors for extended functionality.

Solve Real-World Case Studies: Apply acquired skills to real-world business scenarios, tackling complex data analytics problems.

Explore Career Opportunities: Discover data analytics career paths and prepare for roles like Data Analyst and Business Intelligence Developer.

Requirements

Enthusiasm and determination to make your mark on the world!

Description

Overview

Section 1: Microsoft Power BI – Introduction to Data Analytics

Lecture 1 Microsoft Power BI – Introduction to Data Analytics

Section 2: Types of Data Analysis (PL-300 Focused)

Lecture 2 Types of Data Analysis (PL-300 Focused)

Section 3: Microsoft Power BI – Detailed Documentation

Lecture 3 Microsoft Power BI – Detailed Documentation

Section 4: Microsoft Power Automate

Lecture 4 Microsoft Power Automate

Section 5: Microsoft Power Apps and Microsoft Dataverse

Lecture 5 Microsoft Power Apps and Microsoft Dataverse

Section 6: Microsoft Fabric

Lecture 6 Microsoft Fabric

Section 8: Prepare the Data – Data Transformation

Lecture 8 Prepare the Data – Data Transformation

Section 9: Prepare the Data – Advanced Data Transformation

Lecture 9 Prepare the Data – Advanced Data Transformation

Section 10: Prepare the Data – Data Quality and Profiling (PL-300 Expert Guide)

Lecture 10 Prepare the Data – Data Quality and Profiling (PL-300 Expert Guide)

Section 11: Prepare the Data – Combining Data from Multiple Sources (PL-300 Expert Guide)

Lecture 11 Prepare the Data – Combining Data from Multiple Sources (PL-300 Expert Guide)

Section 12: Model the Data – Introduction to Data Modeling (PL-300 Expert Guide)

Lecture 12 Model the Data – Introduction to Data Modeling (PL-300 Expert Guide)

Section 13: Model the Data – Data Modeling Best Practices (PL-300 Expert Guide)

Lecture 13 Model the Data – Data Modeling Best Practices (PL-300 Expert Guide)

Section 14: Model the Data – Calculated Columns and Measures (PL-300 Expert Guide)

Lecture 14 Model the Data – Calculated Columns and Measures (PL-300 Expert Guide)

Section 15: Model the Data – Advanced DAX Calculations (PL-300 Expert Guide)

Lecture 15 Model the Data – Advanced DAX Calculations (PL-300 Expert Guide)

Section 16: Model the Data – Managing Data Security (PL-300 Expert Guide)

Lecture 16 Model the Data – Managing Data Security (PL-300 Expert Guide)

Section 17: Visualize and Analyze the Data – Introduction to Visuals (PL-300 Expert Guide)

Lecture 17 Visualize and Analyze the Data – Introduction to Visuals (PL-300 Expert Guide)

Section 18: Visualize and Analyze the Data – Advanced Visualizations (PL-300 Expert Guide)

Lecture 18 Visualize and Analyze the Data – Advanced Visualizations (PL-300 Expert Guide)

Section 19: Visualize and Analyze the Data – Visual Design Best Practices

Lecture 19 Visualize and Analyze the Data – Visual Design Best Practices

Section 21: Advanced DAX – Text Operators

Lecture 21 Advanced DAX – Text Operators

Section 22: Advanced DAX – Calculate, Filter, and All Functions

Lecture 22 Advanced DAX – Calculate, Filter, and All Functions

Section 24: Advanced DAX – Ranking, Cumulative Totals, Aggregations

Lecture 24 Advanced DAX – Ranking, Cumulative Totals, Aggregations

Section 25: Advanced DAX – Calculated Tables, Model Optimization, and Security

Lecture 25 Advanced DAX – Calculated Tables, Model Optimization, and Security

Section 29: AI Visuals and AI Insights in Power BI

Lecture 30 AI Visuals and AI Insights in Power BI

Section 30: Latest Power BI Updates and New Visuals

Lecture 31 Latest Power BI Updates and New Visuals

Section 31: Performance Tuning for Visuals in Power BI

Lecture 32 Performance Tuning for Visuals in Power BI

Section 32: Tooltips, Bookmarks, and Drill Through

Lecture 33 Tooltips, Bookmarks, and Drill Through

Section 33: Power BI Themes and Layout Design

Lecture 34 Power BI Themes and Layout Design

Section 34: Real World Case Studies

Lecture 35 Real World Case Studies

Section 35: Power BI Interview Questions and Tips

Lecture 36 Power BI Interview Questions and Tips

Section 36: Introduction to Power BI Service

Lecture 37 Introduction to Power BI Service

Section 37: Managing Power BI Workspaces

Lecture 38 Managing Power BI Workspaces

Section 38: Power BI App Creation

Lecture 39 Power BI App Creation

Section 39: Power BI Premium Features

Lecture 40 Power BI Premium Features

Section 40: Case Studies in Power BI Service

Lecture 41 Case Studies in Power BI Service

Section 41: Power BI Security Essentials

Lecture 42 Power BI Security Essentials

Section 42: Rare Power BI Premium Features

Lecture 43 Rare Power BI Premium Features

Section 43: Power BI Gateways – Introduction and Setup

Lecture 44 Power BI Gateways – Introduction and Setup

Section 44: Advanced Power BI Premium and Data Automation

Lecture 45 Advanced Power BI Premium and Data Automation

Section 45: Advanced Embedding and Custom Integrations

Lecture 46 Advanced Embedding and Custom Integrations

Section 46: SQL Skills for Power BI Developers

Lecture 47 SQL Skills for Power BI Developers

Section 47: Advanced SQL and Databricks Integration

Lecture 48 Advanced SQL and Databricks Integration

Section 48: Data Transformation in Azure Databricks

Lecture 49 Data Transformation in Azure Databricks

Section 49: Data Analysis and Presentation using Excel

Lecture 50 Data Analysis and Presentation using Excel

Section 50: Cross-Functional Collaboration and Data Presentation

Lecture 51 Cross-Functional Collaboration and Data Presentation

Section 51: Stakeholder and Client Management

Section 52: Requirements Gathering and Analysis

Lecture 54 Requirements Gathering and Analysis

Section 53: Networking on LinkedIn and Personal Branding

Lecture 55 Networking on LinkedIn and Personal Branding

Section 54: Freelancing and Remote Job Opportunities

Lecture 56 Freelancing and Remote Job Opportunities

Section 55: Teaching Power BI and Building an Online Presence

Lecture 57 Teaching Power BI and Building an Online Presence

Section 56: Job Search Strategies and Interview Preparation

Lecture 58 Job Search Strategies and Interview Preparation

Section 57: Microsoft Fabric for Data Integration

Lecture 59 Microsoft Fabric for Data Integration

Section 58: Advanced Features in Microsoft Fabric

Lecture 60 Advanced Features in Microsoft Fabric

Section 59: Power Platform Essentials

Lecture 61 Power Platform Essentials

Section 60: Advanced Power Platform and Career Growth

Lecture 62 Advanced Power Platform and Career Growth

Aspiring Data Analysts preparing for the Microsoft PL-300 certification.,Professionals transitioning to data analytics or business intelligence roles.,Existing Power BI users seeking advanced skills in data modeling, visualization, and deployment.,IT and business professionals interested in leveraging the Power Platform ecosystem.,Data Scientists aiming to enhance their visualization and reporting skills.,Marketing Analysts seeking to derive insights and create impactful dashboards.,Data Consultants providing analytics and visualization solutions for clients.,Product Owners/Managers integrating data-driven insights into product strategies.,Team leaders or managers responsible for data-driven decision-making.,Students and graduates exploring a career in data analytics.,Developers and IT administrators integrating Power BI with enterprise systems.