
Turn raw data into meaningful stories by identifying, cleaning, transforming, and modeling, using Power BI to create datasets, reports, dashboards, and tiles across desktop, service, and mobile.
Learn to get data from an Excel sheet in Power BI using the Excel connector, navigate tables in the navigator, and load data from local or cloud Excel files.
Create columns in Power BI by applying transformations like lowercase and extract, then use custom and conditional columns to divide values and label age groups as young or old.
Explore how to merge two tables in Power BI using six join types—left, right, inner, full outer, left anti, and right anti—highlighting common keys and column selection.
Explore appending tables in Power BI by using append queries to combine two sales tables with the same schema, and configure primary and secondary rules for the merged data.
Explore data profiling in Power BI by evaluating column quality, distributions, and distinct values. Learn to run diagnostics, view timing, and use tracing for deeper insights and issue diagnosis.
Explore how Power BI hierarchies let you drill down from year to quarter to month to day, revealing granular sales trends and enabling custom hierarchies like product and price.
Learn to create a month name column from a date using the switch function, mapping month numbers to names, and apply switch for revenue grouping while comparing with if.
Explore time intelligence functions in Power BI, build a date table and relationships, and create measures with calculate to compute year-to-date, month-to-date, quarter-to-date, and dates between.
Explore how to define variables in DAX, compute total revenue, and use operators and logical conditions such as in and not equal to to filter data by state.
Explore number formatting in Power BI, using predefined formats like general number, currency, and scientific, plus custom formats with placeholders, decimals, thousand separators, and negative value handling.
Learn how to format time in Power BI with custom formats, leading zeros, and separators, and use predefined long, medium, and short time formats.
Explore quick measures in Power BI's UI to create measures without writing DAX, noting advantages and limits. Filter by location to see total revenue and why knowing DAX enhances context.
Choose the appropriate visualizations in Power BI to tell a data story with charts, maps, KPI, line, bar, and pie visuals, plus focus mode and drill-down.
Apply and understand basic and advanced filters in Power BI, including contains and starts with, top N filtering, and total revenue thresholds, across visuals and pages.
Learn to create custom tooltips in Power BI, enable report page tooltips, and configure visuals and page size for accurate hover information.
Learn to edit interactions between visuals in a Power BI report, using the format tab’s interactions controls to set none, highlight, or filter effects across visuals.
Learn to sync slicers across multiple pages in Power BI, applying shared filters with dropdowns and multi-select to ensure consistent totals across pages.
learn to create bookmarks in Power BI, use buttons to navigate between page one and page two, and control visibility with bookmark actions for interactive report navigation.
Explore the play axis feature in Power BI to animate revenue and quantity by state over time, using the play button to view monthly trends and hover over data points.
If you're looking for hands-on training to learn Microsoft Power BI or take the DA-100 exam, this course is the right one for you.
In current times, where data is money, and there is an abundance of data everywhere, what we need are tools that actually analyze this data to draw reasonable and actionable conclusions. PowerBI is said to be a collection of software services and applications which work in sync to transform unrelated sources of data into actionable insights for the user. The data can be stored and used from excel sheets or can be used from a number of data warehouses, irrespective of being cloud-based or on-premise.
What's more, is that PowerBI allows you to not only analyze but also visualize the data in order to figure out the key components or insights required.
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.
Why learn PowerBI?
Easy to Use - PowerBI is very easy to use and so simple in creating visualizations to understand the data. It uses a drag and drop system in order to create visuals, as well as offers a choice of multiple chart types to match user preference. The interactive dashboard interface enables easy, quick, and simple usage.
Easy to Share - Once the reports are created in PowerBI, it is very easy to share them, both inside and outside your organization.
Easy to Understand - Users can make use of natural language to create reports and interact with the data when publishing it.
The name of it says it all! - PowerBI is said to be an incredibly powerful tool for both, modeling the data as well visualizing it. Since it uses the same base as Power Query, users are not required to learn a new language to handle the processing of this software.
It's being used everywhere - PowerBI is available on all platforms and this ensures that users can not only view but also make changes to reports from their mobile phones, tablets, or laptops. It is compatible with both forms of OS and as such is highly interactive.
Career in PowerBI
PowerBI experts and developers are in great demand in the market nowadays. The professionals are earning an industry average of $117,000 per annum. People can take up the role of analysts or PowerBI developers. The prerequisites for the latter are mentioned above.
What you’ll learn / Course Objective:
Identify the different roles in the data space
Identify the tasks that are performed by a Data Analyst
Describe the Power BI landscape of products and services
Understand the different connection methods and their performance implications
Apply data shape transformations
Understand the basics of data modeling
Define relationships and their cardinality
Implement Dimensions and hierarchies
Create histograms and rankings
Understand DAX and use DAX for simple formulas and expressions.
Work with Time Intelligence and Key Performance Indicators
Select and add appropriate visualization type
Add basic report navigation and interactions
Create and configure a data source and dataset.