
We will understand data analysis & Power BI , its purpose and significance. The 4 pillars of Power BI report development.
We would be installing the "Power BI desktop" software into our laptops/ PC in this lecture.
We will become familiar with Power BI desktop and various functionalities here.
Learn how to remove columns in Power Query by choosing remove columns for the selected column or removing all other columns, with examples using country, segment, and product.
Learn to replace values in Power BI with Power Query Editor by duplicating a column and creating a country code, using match entire cell contents and advanced options.
Open Power BI desktop, transform data, merge country and segment as 'computer segment' using colon, comma, equals with spaces, then split by the leftmost delimiter.
Explore enter data to create self-contained Power BI tables, then apply transforms like transpose, group by, pivot/unpivot, and refresh workflows for live report development.
Create a standard date table in Power BI using methods: Power Query M code and DAX calendar function, with start and end dates and fields like year, quarter, and month.
Create and format clustered bar chart and clustered column chart in Power BI, using data view and a sales measure to visualize product sales and refine axes, gridlines, and visuals.
Create and format pie, donut, and treemap visuals in Power BI, using a four‑category limit and percentage of total labels to clearly compare discount bands by sales.
Explore KPI visuals in Power BI, including card, gauge, multi-row card, and KPI visuals, to present revenue, total quantity, total orders, total cost, and profits with target comparisons and formatting.
Explore stacking visuals in Power BI, including 100% stacked bar and column charts, formatting axes, legend, and titles while analyzing country sales and discount bands.
Connect to the Excel data source and transform datasets, renaming them to customers, locations, product, and salespeople. Review data types, such as text, decimal, and whole numbers, to prepare modelling.
Master the four cardinalities—one to many, many to one, one to one, and many to many—and convert many-to-many to many-to-one in a dimension–fact data model.
Create a date table and build a data model in Power BI Bootcamp by defining dimension tables, a fact table, and establishing relationships for insightful visuals.
Learn to compute average sales using the averagex iterator, creating a new measure with calculate, using row context and related tables to pull price and quantity.
Discover how to use the DAX filter function in Power BI to calculate specific product sales with CALCULATE and FILTER, selecting by product name in the products table.
Build an end-to-end real-time Power BI report by applying DAX measures, data model, and transformations, and create theme-driven visuals, slicers, maps, and a two-page navigation using bookmarks.
Learn data visualization through Microsoft Power BI and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.
You'll learn all of the features in Power BI that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.
Use Microsoft Power BI to Analyze and Visualize Data So You Can Respond Accordingly
Connect Power BI to a Variety of Datasets
Drill Down and Up in Your Visualization and Calculate Data
Visualize Data in the Form of Various Charts, Plots, and Maps
Convert Raw Data Into Compelling Data Visualizations Using Microsoft Power BI
Each section provides exercises that will challenge you so you can learn by immediately applying what you're learning.
Content is updated as new versions of Power BI are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.
Contents and Overview
This course begins with Power BI basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.
To be able to find trends in your data and make accurate forecasts, you'll learn how to work with hierarchies and time series.
Also, to make data easier to digest, you'll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.
In order to begin visualizing data, you'll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects.
You'll even learn how to join multiple data sources into one in order to combine diverse sources of information in one analytical solution.
Finally, you'll cover some of the latest and most advanced custom visualizations in Microsoft Power BI, where you will create histograms, brick charts, and more.
By the time you complete this course, you'll be a highly proficient Power BI user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.
You'll be fully prepared to collect, examine, and present data for any purpose, whether you're working with scientific data or you want to make forecasts about buying trends to increase profits.