Mastering Power Bi: From Data To Dashboard

Discussion Session - Learn to Transform Data into Interactive Dashboards and Reports Using Power BI

What you'll learn

Understand Power BI's interface, connect to data sources, and manage datasets for effective analysis and data visualization.

Learn to clean, transform, and model data using Power Query and DAX for accurate and meaningful visual analysis.

Create interactive dashboards with charts, slicers, and filters to explore data and highlight key performance metrics.

Share reports via Power BI Service with features for collaboration, data refresh, and secure access control.

Apply skills through hands-on exercises and real-world examples from various industries to build a strong analytics foundation.

Requirements

A basic understanding of Microsoft Excel concepts such as tables, formulas, or charts will help learners navigate Power BI’s tools more comfortably, although it is not mandatory for course participation.

Access to a computer or laptop with Windows OS and the latest version of Power BI Desktop installed is recommended to follow along with the practical exercises and demonstrations.

Comfort with handling numerical or categorical data and basic logical thinking can assist learners in better understanding data structures, relationships, and transformation steps used in Power BI.

Description

Power BI is a widely used business intelligence tool developed by Microsoft that helps users analyze, visualize, and share data insights. This online course is designed to provide a structured introduction to Power BI and its key features, making it accessible to learners from diverse educational and professional backgrounds.The course covers the essential components of Power BI, including data importation, transformation, modeling, and visualization. Participants will learn how to work with Power BI Desktop, use Power Query to shape data, create interactive reports, and publish dashboards through the Power BI Service. Basic concepts in data analysis and familiarity with Excel may enhance the learning experience, but are not mandatory.Content is delivered through step-by-step lessons, demonstrations, and guided exercises that aim to help learners gain hands-on experience. Realistic scenarios are used to illustrate how Power BI can be applied in various contexts such as sales tracking, performance analysis, and reporting. The course encourages critical thinking about data and its role in supporting informed decisions.Designed for flexibility, this course allows learners to progress at their own pace. Whether exploring data tools for the first time or looking to broaden your understanding of analytics platforms, this course offers foundational knowledge that can be built upon in more advanced settings.By the end of the course, participants will be familiar with Power BI’s interface and capabilities and will have practiced building visualizations, working with data models, and navigating key features of the platform.This course is intended as a learning opportunity for those interested in data visualization and analysis, and it aims to support the development of practical skills through a clear, accessible approach.

Overview

Section 1: Power BI

Lecture 1 1.1. How Businesses Use Data Storytelling

Lecture 2 1.2. What is Data Storytelling

Lecture 3 1.3. Why Spreadsheets Fail in Business Communication

Lecture 4 1.4. Why Do Visuals Work Better Than Raw Data

Lecture 5 1.5. How Poor Data Visualization Leads to Bad Decisions

Lecture 6 1.6. Most Commonly Used Data Visualization Tools

Lecture 7 1.7. About Power BI

Lecture 8 1.8. Key Features of Power BI

Lecture 9 1.9. Helping For Installation

Lecture 10 1.10 Power BI - Bar Chart & Line Chart

Section 2: Power BI

Lecture 11 2.1. Practical Session 1

Lecture 12 2.2. Practical Session 2

Lecture 13 2.3. Practical Session 3

Lecture 14 2.4. Practical Session 4

Lecture 15 2.5. Practical Session 5

Lecture 16 2.6. Practical Session 6

This course is suitable for students, early-career professionals, business analysts, marketers, educators, and anyone interested in learning how to analyze and visualize data using Microsoft Power BI, regardless of prior experience in data analytics.