
Learn to transform raw data into visuals that tell stories using bar, line, pie, and table visuals, with color, formatting, and interactive filters for engaging dashboards.
Watch this essential video for course setup, download and unzip the instructor and exercise files, and learn how to adjust video quality and playback speed for the best learning experience.
Import data in Power BI from CSV, Excel, or other sources, load it into the data pane, or transform in Power Query to turn raw numbers into insights.
Master the Power BI desktop interface—ribbon and visualization pane—learn to get and transform data, then build visuals by dragging fields onto charts.
Explore bar charts, column charts, and stacked columns in Power BI to compare categories, analyze month-over-month revenue, and use small multiples for channel insights.
Explore line charts and area charts to visualize time series data, analyze trends, and compare revenue and units using quarter and month with a secondary axis.
Explore pie and donut charts in Power BI to show category contributions to revenue, customize legends, colors, and labels, and highlight key categories with centered totals in the donut.
Explore Power BI tables and matrix visuals to present detailed data clearly. Learn when to use each, apply sorting and filtering, and build date hierarchies with subtotals.
Master KPI and card visuals to spotlight key metrics, compare performance against goals, and use trend lines, area charts, and color markers for quick, data-driven decisions.
Build and format a Power BI pie chart from scratch using revenue data, customize the title and legend, and tune inner labels with a visible background for clarity.
Choose the right chart type in Power BI to reveal trends with line and area charts, and use bars for category comparisons and proportions with pie or donut charts.
Power BI visualization best practices for dashboards and data analysis are demonstrated by improving color contrast, descriptive titles, legible legends, data labels, and grid lines for immediate data storytelling.
Power BI visualizes revenue by region with conditional formatting, color, and sorting to highlight key insights and guide the audience through the data story using slicers and column charts.
Use small multiples and a combo chart in Power BI to compare revenue, orders, and units sold by region with cards, bars, and pies, aided by primary and secondary axes.
Enhance data visualizations in Power BI by adjusting color, formatting, layout, and data labels to improve readability, contrast, and storytelling in dashboards and data analysis.
Learn to make Power BI reports interactive by using visual, page, and report level filters and slicers, customize and sync slicers across pages to create a cohesive, explorable dashboard.
Explore bookmarks and buttons in Power BI to capture filter states and visuals as snapshots, enabling interactive, app-like reports with quick navigation and reset capabilities.
Practice creating and syncing two slicers for region and channel across table, column, and pie visuals, and across multiple pages in Power BI dashboards.
Explore bar and column charts for comparisons, line and area charts for trends, and pie, donut, table, matrix visuals, plus KPI cards to reveal insights.
This course includes downloadable course instructor files and exercise files to work with and follow along.
Power BI: Data Visualization for Dashboards and Data Analysis is designed to help you transform raw data into visuals in Power BI that can inspire understanding and drive better decisions. You will learn how to turn numbers and tables into meaningful stories using Power BI’s wide range of visualization and interactive features. The learning experience begins with an introduction to setting up your workspace, navigating the interface, and importing data from common sources like Excel and CSV files, preparing you to work confidently with your data from the start.
As you progress, you will explore essential visualization tools such as bar, column, line, area, pie, and donut charts. You’ll also use tables, matrices, cards, and KPI visuals to display details and key performance metrics. Each tool is explained with practical examples to help you understand its best uses in significant business scenarios. You will also gain valuable experience in transforming and cleaning data to ensure accuracy and clarity before visualization.
The learning experience continues with a focus on interactivity. You will learn to apply slicers, filters, bookmarks, and buttons to create dynamic dashboards that respond to user input. These interactive elements make reports engaging and easier to interpret, helping you highlight trends and insights effectively.
By completing this training, you will be equipped to design visually appealing, interactive dashboards that communicate insights clearly and support smarter decision-making across your organization.
In this course, you will learn how to:
Transform various raw datasets into meaningful Power BI visuals.
Import CSV, Excel, and PDF files into Power BI Desktop.
Navigate Power BI desktop interface for efficient data handling.
Uncover patterns, comparisons, and key insights from data.
Design column, bar, and stacked column charts for comparisons.
Visualize trends and changes over time using line and area charts.
Create pie and donut charts to display data proportions.
Customize ribbon tabs and views in Power BI desktop.
Display critical metrics with card and KPI visuals.
Apply strategic color, formatting, and sorting to emphasize data.
Construct dynamic and engaging dashboards with filters and slicers.
Implement bookmarks and buttons for advanced report interactivity.
This course includes:
99 minutes of video tutorials
18 individual video lectures
Course and exercise files to follow along
Certificate of completion