
Learn to import csv data into Power BI Desktop by using get data, connect to a csv file, view delimiter and source settings, load the data, and explore loaded tables.
Learn to import data from an Excel file into Power BI Desktop by using getData, selecting Excel, navigating sheets, and loading a chosen table.
Learn how to import data from the web into Power BI Desktop by connecting to a web page, choosing HTML tables with the preview, and loading a table for visualizations.
Use merge queries in Power BI to join tables by zip code with a left outer join, load a CSV source, expand merged fields, and rename the manager column.
Explore Power BI visuals, including preinstalled visuals, and learn when to use horizontal bar charts, bar charts, column charts, and line charts to compare categories and track changes over time.
Explore stacked bar and stacked column charts in Power BI to break totals into subcategories with a second dimension and a measure, showing parts of the whole and time-based changes.
Learn to create bar and column charts in Power BI by importing Excel data, loading the financial sheet, and exploring stacked visuals that adapt as attributes are added.
Learn to use cards and multitool cards in Power BI to visualize key metrics. Apply single-number cards for totals like sales or market share and group data with multi-card layouts.
Discover key performance indicators (KPIs) as measurable values that quantify progress toward strategic objectives. Learn how KPIs at multiple levels guide decision making and assess performance across departments.
Explore how Power BI uses a semantic model based on the tabular object model to connect data sources through relationships, enabling custom calculations and deterministic filter propagation.
Create a measure that uses the same period last year with the time analysis function to compare sales by quarter in the date table, using calculate on new total sales.
This course teaches you how to do Data Analysis and Visualization in Microsoft Power BI Desktop.
You want to analyze data from single or multiple sources? You want to create your individual datasets based on these sources and transform your results into beautiful and easy-to-make visualizations? You also want to share your results with colleagues or collaborate on your projects? Finally, you want to be able to access your data from multiple devices? Then the Power BI tools are the tools to choose for you!
This is what you will learn:
Get to know the different tools of the Power BI universe and learn how to use them
Understand Power BI Desktop and its components
Learn how to use the Query Editor to connect Power BI to various source types, how to work on the Data Model, and understand the difference between those two steps
How to work in the different views of the Data Model
How to create calculated columns and measures
How to create a report with different interactive visualization types
This course if for:
People who never worked with Power BI and who want to understand how to use these tools
People who want to learn to analyze and to visualize the data in Microsoft Power BI
People with no or less knowledge of Data Analysis and Visualization
Students of Business operations
Owners of any business who want to see the day-to-day position of their business
Everyone who wants to be an expert in Data Analytics and Microsoft Power BI
We would be happy to welcome you to this course!