
Learn how data storytelling turns complex data into visuals and dashboards with Power BI, enabling stakeholders to quickly interpret insights and guide business decisions.
Data storytelling turns complex data into a structured narrative that drives actions, using visuals like pie charts to connect data insights to business strategy.
Explain why spreadsheets fail in business communication, as executives can't scan thousands of rows; visualizations reveal patterns and trends at a glance.
Show how visuals work better than raw data, revealing patterns 60,000 times faster and helping stakeholders grasp insights quickly.
Learn to design neat, subtle dashboards by using the right bar, pie, and line charts for clear comparisons, avoiding overfill, and applying color psychology to prevent misinterpreting trends.
Master data storytelling by turning data into dashboards with Power BI, a free, powerful, and popular tool, while understanding its place among Looker Studio, Tableau, and other visualization options.
Power BI analyzes data on premises and in the cloud, enabling collaborative, secure sharing of customized dashboards and interactive reports with clean visuals using correct chart types and color psychology.
Explore Power BI's interactive, dynamic dashboards and report authoring, harness data analysis, and AI-powered Q&A to create visualizations from prepared data on Windows laptops.
Learn to download Power BI Desktop using the Microsoft Store on Windows or Chromebook, search for Power BI download, open the first result, download, and install later.
Power BI desktop enables data modeling and report creation, while service and mobile share visuals. Use bar charts to compare categories and line charts to reveal trends.
Connect and import the sample Superstore Excel data into Power BI Desktop, then use the Power Query Editor to transform the data and load a report from the order sheet.
Learn to clean and transform data in Power BI with Power Query Editor, evaluate column quality and column profile, and prepare data for visualizations.
Practice data profiling in Power BI by evaluating min, max, average, and count for sales, discount, quantity, and profit, then assess column distribution and data quality metrics, including distinct values.
Power BI automatically detects data types for each column, such as ID and order date, and you learn to change a misclassified type to text using the data type options.
Import data in Power BI with get data option for Excel or CSV, transform, validate column data types, ensure numeric fields and whole-number quantities, then close and apply.
Navigate Power BI interface—ribbon, canvas, visual pane, and data pane—and build visuals, bar and pie charts, by dragging category to the y axis and sales to the x axis.
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.