Power Bi and Excel for beginners

Unlock the power of your data—no prior experience required. This introductory course bridges the gap between Microsoft Excel and Power BI, teaching you how to transform raw, messy data into clear, interactive insights. You will start by mastering essential Excel skills for data cleaning and preparation, then seamlessly transition into Power BI to build dynamic visualizations and dashboards. By the end of this course, you will stop manually creating reports and start automating your analysis, turning numbers into business decisions with confidence. Whether you are an aspiring analyst, a small business owner, or a professional looking to upskill, this course gives you the practical foundation to succeed.

Module 1: The Foundation – Understanding the Workflow

• Why learn Excel and Power BI together (the "pipeline" concept)
• Overview of business intelligence: From raw data to decisions
• Installing Power BI Desktop (free) and setting up Excel for analysis
• Understanding data types: Text, Numbers, Dates, and Boolean

Module 2: Excel Essentials for Data Prep (No Formulas Overload)

• Structuring data correctly: The golden rules of a good dataset
• Removing blank rows, duplicates, and fixing inconsistent text
• Basic text functions: TRIM, UPPER, LOWER, CONCATENATE
• Basic date functions: TEXT to format, DATEVALUE
• Introduction to Excel Tables (Ctrl+T) – The secret to dynamic ranges

Module 3: Intermediate Excel for Analysis

• Sorting and filtering data effectively
• Using SUMIFS, AVERAGEIFS, and COUNTIFS for conditional totals
• Creating your first PivotTables to summarize data quickly
• Using VLOOKUP/XLOOKUP to merge two datasets
• Introduction to Power Query in Excel (the bridge to Power BI)

Module 4: Introduction to Power BI Desktop

• Power BI interface tour: Fields, Visualizations, and Report canvas
• Connecting to data: Importing Excel files vs. other sources
• The three views: Report, Data, and Model
• Difference between Import and DirectQuery modes (simple explanation)

Module 5: Data Transformation with Power Query (The Real Hero)

• Launching Power Query Editor (comparing Excel vs. Power BI)
• Promoting headers, removing columns, and changing data types
• Cleaning dirty data: Splitting columns, replacing values, and trimming text
• Appending (stacking) two identical tables
• Merging (joining) two tables like XLOOKUP, but visually

Module 6: Data Modeling for Beginners

• What is a data model? (One table vs. multiple tables)
• Understanding fact tables (transactions) and dimension tables (lookups)
• Creating relationships between tables (drag-and-drop)
• Avoiding common relationship mistakes (many-to-many explained simply)

Module 7: DAX for Beginners (Data Analysis Expressions)

• Calculated columns vs. Measures (critical difference)
• Your first measure: SUM and AVERAGE
• Time intelligence made simple: TOTALYTD (Year-to-Date)
• Using CALCULATE to change filter context (one simple example)
• Quick Measures: Let Power BI write DAX for you

Module 8: Building Your First Dashboard

• Choosing the right chart: Bar, Line, Pie, Card, and Map visuals
• Formatting visuals: Colors, labels, and titles
• Adding slicers for interactive filtering
• Using bookmarks and buttons to create a clean report page
• Drill-through and drill-down features

Module 9: Publishing and Sharing

• Saving your work (.pbix file) and exporting to PDF
• Publishing to Power BI Service (free vs. Pro license explained)
• Creating a simple dashboard from a report
• Scheduling automatic data refresh (concept overview)
• Embedding a live report into Microsoft Teams or PowerPoint

Module 10: Capstone Project – End-to-End BI Report

• Scenario: Analyze one year of sales data for a small retail store
• Step 1: Clean and structure raw data in Excel
• Step 2: Load and transform data in Power Query
• Step 3: Build a relational model (Orders + Products + Customers)
• Step 4: Write DAX measures for Total Sales, Profit, and YTD Growth
• Step 5: Design a 3-page interactive dashboard
• Step 6: Export and present findings

Bonus (Optional):

• Common errors and how to fix them (e.g., circular dependency, refresh errors)
• Resources for free practice datasets
• Next steps: Power BI certification paths (PL-300 overview)