
Microsoft Power BI is a powerful business intelligence tool that helps transform raw data into interactive reports and dashboards. It allows users to visualize data, gain insights, and make informed decisions. With features like data modeling, real-time analytics, and AI-powered insights, Power BI is widely used by businesses and data professionals. Whether you're a beginner or an experienced analyst, Power BI makes data analysis easier and more accessible.
In this video, we’ll give you a quick overview of what this course includes and how it will help you build valuable skills. You’ll learn about the key topics covered, the learning objectives, and how this course can benefit you. Whether you're a beginner or looking to enhance your knowledge, this course is designed to be clear, practical, and easy to follow.
Get ready to start your learning journey!
In this lecture, you’ll learn two simple ways to download and install Microsoft Power BI—from the official website and the Microsoft Store. Follow along to set up Power BI quickly and get started with data analysis.
System Requirements:
Operating System: Windows 10, Windows 11, or Windows Server (not available for macOS)
Processor: 1 GHz or faster x64-bit processor
RAM: Minimum 4 GB (8 GB or more recommended)
Storage: At least 2 GB of free disk space
Display: 1440x900 resolution or higher recommended
Note: "Power BI Desktop isn't natively available for macOS".
Learn how Power Query Editor in Power BI imports, transforms, and prepares data with a no-code ETL interface, connects to sources, and handles removing columns, filtering, splitting, and merging.
Importing an Excel Sheet into Power BI | Step-by-Step Guide
In this lesson, you’ll learn how to import an Excel sheet into Power BI efficiently. Follow along as we connect, load, and prepare data for analysis. This is an essential skill for anyone working with Power BI!
Key Takeaways:
Connecting Excel to Power BI
Importing and transforming data
Best practices for a smooth workflow
#PowerBI #ExcelImport #DataAnalysis #Udemy
Unlock the power of Power Query to efficiently clean, reshape, and transform raw data into meaningful insights! In this lecture, you'll learn essential ETL (Extract, Transform, Load) techniques, including filtering, merging, pivoting, and advanced transformations—all without coding! Whether you're a beginner or looking to refine your skills, this session will help you streamline your data preparation workflow in Excel and Power BI.
Master Power BI data modeling by structuring data with fact and dimension tables, defining 1-to-1, 1-to-many, and many-to-many relationships, and exploring star and snowflake schemas for efficient analyses.
Develop a data model from an Excel shipments dataset, explaining dimension and fact tables, with product id, salesperson id, geographic info, and calendar dates, and preview the star schema.
Explore data modeling concepts in Power BI by mapping a fact table to dimension tables, understanding many-to-one relationships, star schema, and semantic models for efficient analytics.
Import Excel data and build a Power BI data model with a fact table and dimension tables such as calendar, location, people, products, and shipments.
Learn how data analysis expressions (DAX) power Power BI formulas to calculate, analyze data, and build custom calculations for deeper insights, KPIs, and interactive dashboards.
Explore DAX in Power BI for data analysis, creating new measures, counting rows, computing distinct counts, summing quantities, and using quick measures to calculate profit cost in orders.
Learn to create interactive visualizations in Power BI, transforming raw data into dashboards and reports with KPI cards, bar, line, and pie charts, and slicers to share insights.
Create your first Power BI report by importing Excel data, building visuals on the canvas, and applying formatting, conditional formatting, and interactive filters to produce an end-to-end dashboard.
Learn to build an interactive KPI dashboard with dynamic visuals and filters for multi-level data exploration, delivering insights and 15-day predictive sales forecasts.
Import CSV data, clean and transform it, then build multiple visuals: bar, area, and map charts, from sales by category to year over year, using Power BI formatting and filters.
Build a Power BI capstone dashboard with donut charts for customer segments, slicers, text boxes, and KPIs, then use DAX time-series forecasting to analyze sales by region.
Power BI for Data Analysis & Business Intelligence is a complete, hands-on course that teaches you how to transform raw data into meaningful insights using Microsoft Power BI. Whether you're a beginner or looking to enhance your analytical skills, this course equips you with the tools needed to create powerful business intelligence solutions from start to finish.
You’ll learn how to connect data from various sources, clean and model it effectively, perform calculations using DAX, and design interactive dashboards that support informed decision-making.
What You Will Learn:
Power BI Interface & Workflow
Understand the layout and tools of Power BI Desktop
Learn how to connect to data sources such as Excel, databases, and the web
Data Cleaning and Transformation with Power Query
Use Power Query to clean, shape, and structure raw data
Perform tasks like merging, appending, filtering, and custom column creation
Data Modeling
Create relationships between tables to build a structured data model
Understand star schema design and build efficient data models
DAX (Data Analysis Expressions)
Write DAX formulas to create calculated columns, measures, and KPIs
Perform advanced calculations including time intelligence and filtering
Interactive Dashboards and Visualizations
Design professional dashboards using charts, maps, tables, and slicers
Implement features like drillthroughs, tooltips, and bookmarks for interactivity
Real-World Projects and Use Cases
Work on practical projects based on common business scenarios
Learn how to approach and deliver complete BI solutions
Who This Course is For:
Beginners in data analysis or business intelligence
Business professionals who want to make data-driven decisions
Excel users transitioning to Power BI
Students or job seekers preparing for data-related roles