
Power BI connects to data from multiple sources, cleans and visualizes it, and creates interactive dashboards that enable data-driven decisions. Democratizes data analysis with an intuitive drag-and-drop interface.
Install Power BI Desktop from the Microsoft Store, import and transform data with Power Query, create visuals and calculations, and publish your dashboard, exploring report, table, model, and DAX views.
Explore Power Query in Power BI to transform data before visualization, including changing data types, promoting headers, removing nulls and totals, and unpivoting columns for clean, usable datasets.
Learn how to create and manage relationships in Power BI by linking tables with one-to-many and many-to-one relationships, activating cross-filter directions, and using drag-and-drop or manage relationships.
Master DAX in Power BI by building measures and calculated columns with Data Analysis Expressions, exploring SUM, profit, WEEKDAY, and IF statements to gain sales insights.
Master drill down and drill up in Power BI visualizations to reveal hierarchical insights, using store, product, and customer level details within a single chart.
Build a Power BI final project dashboard from an employee dataset using popular visuals: cards, donut charts, bars, drill-downs, and line charts to analyze salary, tenure, hiring, and demographics.
If you are looking to learn Power BI from scratch or improve your existing skills, this course will provide you with the necessary reporting tools and skills to create your first dashboard using Microsoft Power BI. It is designed to cater to learners of beginner level as it will cover everything related to cleaning and transforming datasets, building relationships between data tables, creating common DAX calculations, and using powerful visualizations for analysis.
The course will cover 3 main parts:
Part 1: Creating Visualizations
Introduction to Power BI Desktop: Download and install the software.
Common visualizations: Learn how to create various chart types, including drill down and conditional formatting
Part 2: Get and Transform Data in Power Query Editor
Data cleaning and preparation: Learn how to import, clean and prepare data
Data transformation: Learn how to transform text, numbers, dates, and times, and create custom columns
Part 3: Refining the Model
Data relationships: Discover how to establish relationships between multiple tables in your data model.
DAX calculations: Learn how to create custom columns and measures using the DAX language to perform calculations and derive insights from your data.
This course will provide you with a solid foundation in Power BI, covering the core concepts and skills