
Explore data analysis and visualization with Power BI by building an interactive multi-page dashboard from data sources, transforming data with Power Query, and sharing charts, visuals, and insights across devices.
Download and install Power BI Desktop from the official website powerbi.microsoft.com; Power BI Desktop is free, with Power BI Pro needed to publish and share reports.
Download the supporting files attached in this section to access all files used in this course.
Learn to build an advanced multipage Power BI sales dashboard with four years of data, featuring KPI cards, time series analysis, regional and channel insights, and forecasting.
Import excel data with Get Data, transform and append four sheets in Power Query Editor, add a shipment days column, and load cleaned data into a pbix Power BI dashboard.
Learn to build a calendar table for time series analysis, create DAX measures and visuals in Power BI, and relate the sales data to the calendar for interactive dashboards.
Learn to create a Power BI dashboard by adding area and donut charts, sorting months, and grouping visuals to display monthly orders, sales, and customer ratings.
Build Power BI dashboards using KPI visuals and DAX measures to highlight max and min sales by category and subcategory, with dynamic colors and region and country visuals.
Learn to create DAX measures and rich visuals in Power BI, including order cancellation, returns, and KPI visuals, with slicers and dynamic dashboards.
Create a Power BI page showing product returns and cancellations, with measures for total orders, cancellations, and returns, and visuals analyzing category, region, country, and discount type, plus forecasting.
Create a sales forecast line chart in Power BI, with order date on the x axis and total sales on the y axis, enabling day-based five-month forecasts.
Create a multipage Power BI dashboard to analyze customer profitability with KPIs, year-over-year comparison, and visuals by month, product, country, and industry, updated via slicers.
Connect Power BI to data sources, load Excel data via Get Data, transform in Power Query editor, fix data errors, apply changes, and build relationships across tables for dashboards.
Create DAX measures in Power BI to compute total sales, total cost, total profit, and profit percentage, and compare current and previous year with dateadd and percentage difference.
Create and customize Power BI visuals including monthly sales and profit visuals, measures, and slicers; apply fonts, colors, borders, shadows, and titles to build an interactive dashboard.
Create DAX measures for yearly, monthly, location, and employee sales targets in Power BI, then build visuals comparing actual sales to targets and use hex color cues to highlight performance.
Create DAX measures and build Power BI visuals to analyze performance by employees, business units, products, locations, and quarters, using slicers, dynamic visuals, and formatting features.
Create an interactive two-page Power BI opportunity analysis dashboard with KPIs by opportunity account, type, sales stage, product, month (self-driven or driven), and country, updated by slicers.
Import data from an Excel workbook, clean it in Power Query Editor, build a calendar table, create relationships, and define DAX measures for an interactive dashboard.
Learn to build an interactive Power BI dashboard with DAX measures, creating visuals like card, bar, funnel, area, ribbon, and stacked charts, plus slicers for dynamic filtering.
Create interactive Power BI dashboard using DAX measures like total sales, total factored sales, and average sales. Build visuals such as cards, line charts, decomposition trees, and treemaps with slicers.
Apply your new learnings in Power BI to workspace data, creating impressive data models, reports, and dashboards, while using our support when doubts arise to stand out to top management.
Microsoft Power Bi Data Analysis & Data Visualization - Learn Business Intelligence
This course will provide you the skillset you need to create Dynamic Reports and Interactive Dashboards to analyze and interpret meaningful insights from your any data using a Business Intelligence tool like Microsoft Power BI. We have created content with relevance to real world scenarios
From this course, you will learn how to analyze data based on relevance using Power BI.
Power BI is a business analytics and business intelligence service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. Power BI is part of the Microsoft Power Platform.
Power BI is a collection of software services, apps, and connectors that work together to turn your data from different sources into visually immersive and insightful reports.
Using Power BI Desktop, you can create rich, interactive reports with visual analytics at your fingertips for free. It can connect to more than 65 on-premises and cloud data sources to turn information into interactive visuals. Data scientists and developers work with Power BI Desktop to produce reports and make them available to the Power BI service.
In Power BI Desktop, users can:
Connect to raw data from different sources
Extract, Profile, Clean, Transform and model the data. Build a Relational Data Model using Power Query and DAX
Build and optimize data models and DAX measures
Create charts and graphs using different visualization techniques
Design and create reports and interactive dashboards to get meaningful insights
Analyze hidden trends and patterns
Create and manage datasets
Share reports with others using the Power BI service within or outside the organization
In this course,
You will learn data analysis and data visualization using Power Query, M Language, Dax and Visualizations in Power BI. You will learn about Power BI Desktop and its components. Learn how to use the Power Query Editor to connect Power BI to various data sources, learn how to work on the Data Models to get meaningful insights.
Topics you will Learn
Power Bi DAX
Power Query
Power Bi Charts and Graphs
Build a multi page Sales Opportunity Analysis Dashboard in Power Bi
You will learn Power BI in a Step by Step Process
Learn how to use Power BI Desktop and Power BI Query Editor
Learn how to create relationships between related data sources in Power BI
Learn to create Power BI Data Models using the Power Query, M Language and DAX Formula language to create powerful calculations
Learn Power BI DAX and how to use it to build custom Measures
Learn to create Power BI reports with various types of aggregations and filters
Learn to create Powerful Interactive reports and dashboards with drill throughs and relative date filters in Microsoft Power BI
Create a wide range of Power BI Charts, Graphs and Visualizations using drag and drop methods from Data Visualization Tools
Learn how to use themes and custom visualizations in enhance your reports
By the time you complete this course, you'll be a highly proficient Power BI user.
So what are you waiting for?
Let's get started.