
Master Power BI from scratch in a hands-on, project-based course that guides data preparation, source connections, analysis, and visualization, culminating in a powerful dashboard built with Power Query Editor features.
Learn a life hack to access Power BI Pro by signing up for an enterprise plan via office.com using incognito mode. Sign up, verify by phone, and start Power BI.
Explore Power BI service fundamentals, connect to on-premises and cloud data sources with gateways, secure deployments, and publish or embed interactive dashboards in workspaces.
Power Query Editor is the heart of Power BI, enabling you to transform data, add or replace columns, and perform data profiling to check quality across data sources.
Explore data profiling tools in Power BI, focusing on column quality, column distribution, and column profile in Power Query Editor, including handling null values and basic imputation concepts.
Explore appending and merging data in Power BI, mastering inner, left, right, and outer joins, and learn how to stack queries with common attributes to build integrated datasets.
Explore Power BI charts—from bar and area to maps and funnels—and learn when to use each for categorical and numerical data, with a slice, cards, tables, and matrices.
Explore data analyst expeditions with DAX, the core language of Power BI, and learn about measures, calculated columns, and the role of low level and filter context in reports.
Discover how implicit measures in Microsoft Power BI use a calculated column or another measure to compute new totals, affecting tenure in months and monthly charges.
Learn basic DAX functions in Power BI, including sum, average, min, max, count, and count rows, with practical measure creation and card visuals.
Master date functions in Power BI using DAX, including today, date add, and calculating differences between dates (days, months, years) with practical examples on an air passengers dataset.
Learn calendar functions in Power BI by creating a dates table with a daily date range, building a date hierarchy, and using it to filter the last five years.
explains context in Power BI: row context for calculated columns and filter context for measures, with a tenure example and the around function.
Explore if-else and nested if blocks in Power BI to create age and tenure bins using DAX and Power Query conditional columns, with practical step by step examples.
This lecture explains x functions versus non x functions in Power BI, showing how some x acts as an iterator to compute sums and averages without adding memory-heavy calculated columns.
Learn how tooltips reveal extended information on hover and how to create tooltip pages and drill throughs to navigate to detailed report pages in Power BI.
Explore how Power BI establishes and manages relationships between tables, from one-to-one to many-to-many, and learn about cross-filter detection, star schema, and practical examples.
Explore key performance indicators (KPIs) in Power BI, using KPI visualizations like CAPA to compare actual versus target, assess variance, trends, and threshold comparisons across monthly data.
Learn administration options in Power BI, including admin, member, contributor, and viewer roles, and manage access in workspaces to control reports, dashboards, and users.
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!
In this course you will learn why Power BI offers you a comprehensive set of Business Intelligence tools for your data analysis goals and how to use these tools to fulfill all of the above tasks - and more. Imagine to quickly structure your data, to easily add calculations to it and to create and publish nice-looking charts in just a few minutes.
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
Understand Power BI Service and its various features
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, measures and DAX functions
How to build relationships between different tables
How to create a report with different interactive visualization types
Learn how to use Power BI Service (= Power BI Pro) to create dashboards and to share and publish your results
How to access your results from multiple devices using Power BI Mobile
How to create custom visuals using typescript and the Power BI Developer Tools
And more!
We have also added PL-300 Exam Practice Papers!!
This is what this course offers, but is this the right course for you
If you
never worked with the Power BI tools before
have a basic understanding of selected tools of the Power BI universe and want to learn how these tools work together
want to understand the latest updated version of Power BI Service, including the newly introduced App Workspaces and the creation and publishing of Apps including your dashboards, reports and datasets
want to understand the basic concepts regarding the creation of customized visuals using the Power BI Developer Tools
then this is the right course for you.
I would be really happy to welcome you in this course
Satyajit Pattnaik
Who this course is for:
People who never worked with Power BI and who want to understand how to use these tools
Anyone who is interested in learning how to connect the different Power BI tools with each other
People who want to understand how to create customized visuals with the Power BI Developer tools