Microsoft Power Bi Desktop For Business Professionals

Transform Data into Insights: Mastering Microsoft Power BI for data analysis, data visualization and Business Success

What you'll learn

Understand the fundamentals of Microsoft Power BI Desktop and its applications in business scenarios

Connect Power BI to various data sources like Excel, databases, and cloud platforms

Efficiently clean, transform, model and prepare raw data using Power Query Editor

Build relationships between datasets and design effective data models

Create stunning visualizations to communicate key business insights effectively

Design interactive dashboards that offer real-time analysis and enhance decision-making

Perform advanced calculations using Data Analysis Expressions (DAX) for analytics

Share and publish your reports securely with your team or organization

Apply best practices to optimize report performance and efficiency

Work with real-world datasets to solve practical business challenges

Requirements

No prior experience with Power BI or programming required

Basic understanding of data concepts such as rows, columns, and tables

Familiarity with Microsoft Excel or similar spreadsheet software is helpful but not mandatory

A computer (Windows recommended) with Microsoft Power BI Desktop (free download)

Stable internet connection for downloading resources and accessing course materials

Willingness to learn and apply data analysis and visualization techniques

Description

In today’s data-driven business environment, the ability to turn raw data into actionable insights is a game-changer. Microsoft Power BI Desktop for Business Professionals is a hands-on course designed to equip you with the tools and techniques needed to harness the power of data analytics and visualization effectively. Whether you’re a business analyst, manager, or decision-maker, this course will empower you to create compelling reports and interactive dashboards that drive smarter decisions.This course begins by introducing you to the fundamentals of Microsoft Power BI Desktop, including its intuitive interface and core functionalities. You’ll learn to connect to a variety of data sources, transform messy datasets into clean, usable formats, and design powerful data models that form the foundation of effective analytics. Through real-world examples and practical exercises, you’ll explore how to craft visually appealing reports and dashboards that convey critical business insights at a glance.The course also delves into more advanced features like using DAX (Data Analysis Expressions) to perform calculations and implement custom logic, enabling you to uncover deeper insights. You’ll gain confidence in creating dynamic visualizations, filtering data interactively, and sharing your insights securely with colleagues or stakeholders.With a focus on real-world applications, this course prepares you to tackle challenges across industries, from marketing analytics and financial reporting to operations management and beyond. By the end of this course, you’ll have a robust understanding of Power BI Desktop and the ability to leverage its capabilities to improve decision-making and add value to your organization.Course Key Highlights:Learn the fundamentals of Microsoft Power BIData Connection and TransformationData Modeling EssentialsInteractive Data VisualizationsAdvanced Analytics with DAXHands-On LearningSharing and CollaborationSelf-Paced, Flexible LearningExpert Support and Community AccessCertificate of CompletionTake the next step in your professional journey and join a community of learners mastering the art of business analytics with Microsoft Power BI Desktop!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Getting started on windows and servers

Lecture 3 How to ask great questions

Lecture 4 FAQ’s

Section 2: Introduction to Power BI

Lecture 5 Business Intelligence and Power BI

Lecture 6 Overview of Power BI

Lecture 7 Importance of Data Visualization

Lecture 8 Components of Power BI

Section 3: Setting up Power BI Desktop Environment

Lecture 9 Downloading and Installing Power BI Desktop

Lecture 10 Overview of Power BI Desktop Interface

Lecture 11 Basic Settings and Navigation

Section 4: Connecting and Shaping Data

Lecture 12 Types of Data Sources (Excel, SQL Server, Web Data, etc.)

Lecture 13 Connecting Power BI to Excel and CSV Files

Lecture 14 Transforming Data

Lecture 15 Introduction to Power Query Editor

Lecture 16 Cleaning and Shaping Data

Lecture 17 Combining and Merge (Join) in Power Query

Lecture 18 Managing Relationships Between Data Tables

Section 5: Data Modelling in Power BI

Lecture 19 Overview of Data Modelling

Lecture 20 Creating Relationships Between Tables

Lecture 21 Optimizing Data Models with Relationships

Lecture 22 Best Practices for Data Modelling

Section 6: Data Analysis Expressions (DAX) in Power BI

Lecture 23 Basics of Data Analysis Expressions (DAX)

Lecture 24 Create Calculated Columns using DAX formula

Lecture 25 Create Measures using DAX formula

Lecture 26 Use DAX Calculations in Visualizations

Lecture 27 DAX Functions for Aggregations

Lecture 28 Filtering and Conditional Calculations

Section 7: DAX - Time Intelligence Functions in Power BI

Lecture 29 Prepare Data for functions

Lecture 30 Year-to-Date (YTD) Sales

Lecture 31 Month-to-Date (MTD) Sales

Lecture 32 Quarter-to-Date (QTD) Sales

Lecture 33 Year-Over-Year (YOY) Growth

Lecture 34 Use Measures in Visualizations

Section 8: Data Visualization in Power BI

Lecture 35 Types of Visualizations in Power BI

Lecture 36 Creating Bar Charts

Lecture 37 Creating Pie Charts

Lecture 38 Creating Tables and Formatting

Section 9: Project: Designing Interactive Dashboards in Power BI

Lecture 39 Best Practices for Dashboard Design

Lecture 40 Loading Dashboard sample data

Lecture 41 Total Revenue Card for Dashboard

Lecture 42 Revenue by Region Bar Chart for Dashboard

Lecture 43 Units Sold Over Time Line Chart for Dashboard

Lecture 44 Product Distribution Pie Chart for Dashboard

Lecture 45 Adding Slicers for Interactive Dashboard

Lecture 46 Save and Publish the Dashboard

Section 10: Export - Publishing and Sharing in Power BI

Lecture 47 Export Power BI template

Lecture 48 Export to PDF file

Lecture 49 Publishing to Power BI Service

Lecture 50 Sharing Reports and Dashboards

Section 11: Exploring Power BI Mobile App

Lecture 51 Design Mobile Dashboard layouts

Lecture 52 Viewing Reports on mobile Devices

Business professionals looking to enhance their data analysis and visualization skills,Data analysts seeking to streamline and automate reporting processes,Managers and decision-makers aiming to derive actionable insights from data,Marketing professionals who want to track and analyze campaign performance,Finance professionals focused on creating dynamic financial reports and dashboards,Operations managers looking to monitor and optimize business processes,IT professionals interested in integrating and managing data systems using Power BI,Entrepreneurs and small business owners who want to make data-driven decisions,Students and career changers aspiring to build a career in business analytics,Anyone with a basic understanding of data concepts who wants to master Power BI