Become a Microsoft Power BI Professional

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About this course

Unlock the full potential of business intelligence with our intensive 1-month Power BI training program. Designed for professionals, students, and career-switchers, this hands-on course equips you with the skills to analyze, visualize, and present data using Microsoft Power BI — one of the world’s most in-demand BI tools.

From data connection and cleaning to advanced DAX functions and interactive dashboards, you’ll learn everything you need to become job-ready. By the end of the course, you’ll be able to confidently build professional dashboards, generate powerful business insights, and prepare for the PL-300: Microsoft Power BI Data Analyst Associate certification.

📅 Week 1: Power BI Essentials & Data Transformation

🔹 Introduction to Modern Business Intelligence

• Evolution from Excel to BI tools

• Power BI vs Tableau vs Looker — where Power BI excels

• Understanding self-service BI and enterprise BI workflows

🔹 Power BI Desktop Installation & UI Walkthrough

• Installing Power BI Desktop (Windows)

• Overview of Ribbon, Panels, and Views (Report, Data, Model)

• Introduction to the Power BI ecosystem: Desktop, Service, Gateway, Mobile

🔹 Connecting to Data Sources

• Import vs DirectQuery vs Live Connection

• Connecting to Excel, CSV, SQL Server, Web APIs, SharePoint

🔹 Power Query Editor (ETL Layer)

• Applied Steps, Query Dependencies, Query Parameters

• Data profiling tools: Column Quality, Distribution, and Profiling

• Transformations: Pivot/Unpivot, Merge, Append, Replace Values, Fill

📌 Hands-On Activity: Clean and prepare a messy HR dataset using Power Query

📅 Week 2: Data Modeling & DAX (Data Analysis Expressions)

🔹 Data Modeling Best Practices

• Fact and Dimension tables

• Star schema vs Snowflake schema

• Auto-detect relationships vs manual relationship creation

• One-to-many vs many-to-many relationships

🔹 DAX Fundamentals

• Calculated Columns vs Measures vs Tables

• Evaluation context: Row context vs Filter context

• Variables in DAX: VAR and RETURN

🔹 Essential DAX Functions

• Aggregation: SUM, AVERAGE, COUNTROWS, DISTINCTCOUNT

• Logical: IF, SWITCH, AND, OR

• Filter & Time Intelligence: CALCULATE, FILTER, ALL, DATESYTD, SAMEPERIODLASTYEAR

• Related functions: RELATED, RELATEDTABLE, LOOKUPVALUE

📌 Hands-On Activity: Build a sales model with custom KPIs (YoY Growth, Profit Ratio, Dynamic Segmentation)

📅 Week 3: Advanced Data Visualization & Report Design

🔹 Designing Effective Dashboards

• Report themes, layout, color psychology

• Responsive layouts for mobile and web

• UX/UI design best practices for business storytelling

🔹 Advanced Visualizations

• Custom visuals from Microsoft Marketplace (Chiclet Slicer, Bullet Chart, KPI visual)

• Visual interactions and syncing slicers across pages

• Drill-down, Drill-through, Tooltip pages, Bookmarks, Buttons

🔹 Publishing & Collaboration

• Publishing reports to Power BI Service

• Creating and managing workspaces

• Scheduling data refreshes and gateway configuration

• Embedding reports into websites or Microsoft Teams

📌 Hands-On Activity: Build an executive dashboard with KPIs, filters, tooltip pages, and drill-through navigation

📅 Week 4: Capstone Project + PL-300 Certification Prep

🔹 Capstone Projects (Real-World Use Cases)

• Sales Analytics Dashboard: Dynamic revenue growth, customer segmentation

• HR Dashboard: Attrition analysis, diversity metrics, hiring funnel

• Finance Dashboard: P&L trends, budget variance, cashflow forecasting

🔹 Security and Deployment

• Row-Level Security (RLS): Static vs Dynamic RLS using DAX and UserPrincipalName

• Role assignments in Power BI Service

🔹 Power BI Governance & Best Practices

• Naming conventions

• Documentation and report versioning

• Data lineage and impact analysis

🔹 PL-300 Certification Preparation

• Breakdown of exam objectives

• Live PL-300 mock test walkthrough

• Tips for tackling scenario-based and DAX questions

🔹 Portfolio & Career Preparation

• How to publish your dashboards on GitHub/LinkedIn

• Creating a Power BI resume that gets noticed

• Freelance & job platforms for Power BI professionals

📌 Final Activity: Submit your end-to-end dashboard with written insights for feedback and certification

👥 Who Should Enroll:

• Students & fresh graduates seeking data-related roles

• Business analysts & Excel users transitioning to BI tools

• Freelancers & consultants offering data services

• Anyone preparing for Microsoft PL-300 certification

Start Date: 29 Jul 2025                                                                                   Duration 4 Weeks

Vistit the Instructor Profile: Click Here

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