Advanced Analytics with Power BI
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Advanced Analytics with Power BI
This course is part of Applied Data Analytics Specialization
Instructor: Edureka
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What you'll learn
Analyze diverse data sources using Power BI Desktop to support insightful decision-making.
Transform and analyze data using advanced DAX for complex analysis in Power BI
Develop dynamic reports and dashboards using advanced visualization techniques in Power BI.
Apply Power BI Service features to collaborate and publish reports effectively within your organization.
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15 assignments
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There are 5 modules in this course
Welcome to the Advanced Analytics with Power BI course, where you will get hands-on experience with Power BIβs advanced features for complete data analysis and visualization. Discover the power of data transformation and learn how to develop dynamic reports and dashboards that drive decision-making.
This course covers industry-specific applications, guiding you through Power BIβs full capabilities so you can gain deeper insights and strengthen your analytical skills. By the end of this course, you will be able to: - Explain the different data sources in Power BI Desktop. - Demonstrate the use of Power Query Editor to clean and transform data. - Manipulate data using advanced DAX formulas and create impactful data stories with a variety of visualization techniques. - Apply Power BI Service features to elevate the quality, sharing, and collaboration of your reports and dashboards. - Create interactive and informative reports and dashboards on Power BI Service by leveraging its key tools. This course is designed for a diverse audience including freshers, data analysts, business analysts, business intelligence analysts, and IT professionals who want to enhance their Power BI and data analysis skills to support data-driven decision making. Prior experience with Microsoft Excel or spreadsheet applications can be beneficial, but all essential concepts are introduced in a clear, accessible way to support learners at every level. You will complete the course with practical expertise in building robust, visually engaging reports and dashboards using the Power BI ecosystem.
This module introduces business intelligence concepts and teaches learners to transform data and craft visual stories using Power BI Desktop. Participants will gain skills in data transformation and modeling for effective analysis.
What's included
19 videos3 readings5 assignments1 discussion prompt
19 videosβ’Total 82 minutes
- Course Introductionβ’3 minutes
- What is Power BI?β’6 minutes
- Applications of Power BIβ’2 minutes
- Installation of Power BI Desktop and Serviceβ’6 minutes
- Working with Power BIβ’4 minutes
- Data Modelsβ’4 minutes
- Data Modeling and it's Importanceβ’3 minutes
- Power BI Desktop Interfaceβ’7 minutes
- Power BI Service Interface β’5 minutes
- Data Sources in Power BI Desktopβ’6 minutes
- Data Transformation - Query Editorβ’5 minutes
- Data Cleaning - Text, Number, Date - Time, and AIβ’5 minutes
- Cleaning Data - Viewβ’3 minutes
- Shaping Data Relationshipsβ’4 minutes
- Demonstration: Data Transformation β Problem Descriptionβ’2 minutes
- Demonstration: Transforming the Dataβ’5 minutes
- Demonstration: Shaping Dataβ’3 minutes
- Demonstration: Transforming Book Reviews Dataβ’5 minutes
- Summary of Data Modeling and Transformationβ’2 minutes
3 readingsβ’Total 30 minutes
- Welcome to Advanced Analytics with Power BIβ’10 minutes
- Building Blocks of Power BIβ’10 minutes
- Relationships in Power BIβ’10 minutes
5 assignmentsβ’Total 54 minutes
- Practice Quiz: Introduction to Power BIβ’6 minutes
- Practice Quiz: Data Sources and Frameworksβ’6 minutes
- Practice Quiz : Data Transformation Techniques in Power BIβ’6 minutes
- Practice Quiz: Practice Session on Transformationsβ’6 minutes
- Knowledge Check : Data Modeling and Transformationβ’30 minutes
1 discussion promptβ’Total 10 minutes
- Introduce Yourselfβ’10 minutes
In this module, you'll learn to manipulate data using DAX formulas within Power BI. You'll create and manage Measures and Columns, applying DAX to transform and analyze your data effectively gaining proficiency in using DAX formulas to perform complex data operations in Power BI.
What's included
16 videos1 reading3 assignments
16 videosβ’Total 72 minutes
- Introduction to DAXβ’4 minutes
- DAX Queries - Operatorsβ’3 minutes
- DAX Queries - Calculation Typesβ’5 minutes
- Calculated Tables and Measuresβ’4 minutes
- DAX Functions and Operationsβ’3 minutes
- Demonstration: SUMX(), COUNTX() and IF() Functionsβ’5 minutes
- Demonstration: Variables, SWITCH(), CALENDAR(), and FORMAT()β’6 minutes
- Demonstration: Time Intelligence Functionsβ’6 minutes
- Demonstration: RELATED(), RELATEDTABLE() and AVERAGE()β’4 minutes
- Demonstration: CALCULATE(), ALL(), and Logical Functionsβ’5 minutes
- Railway Analysis Project: Importing Dataβ’3 minutes
- Project Railway Analysis: Transform the Data β’7 minutes
- Project Railway Analysis: Measures (Arrival and Revenue)β’7 minutes
- Project Railway Analysis: Measures (Satisfactory Rating and Total Revenue)β’7 minutes
- Demonstration: Concluding the Reportβ’3 minutes
- Summary for DAX - Functions and Formulasβ’1 minute
1 readingβ’Total 10 minutes
- General DAX Formulasβ’10 minutes
3 assignmentsβ’Total 42 minutes
- Practice Quiz : DAX Queriesβ’6 minutes
- Practice Quiz : DAX Operations and Functionsβ’6 minutes
- Knowledge Check : DAXβ’30 minutes
In this module, you'll learn to create data visualizations in Power BI using both standard charts and custom visuals, and understand their functionality. Additionally, you'll explore best practices for designing effective paginated reports and dashboards within Power BI
What's included
14 videos2 readings3 assignments
14 videosβ’Total 53 minutes
- Populating Charts and Visualsβ’3 minutes
- Visualization Types β Basic Area and Bar - Column Chartβ’4 minutes
- Combination Charts β Line and Doughnutβ’4 minutes
- Funnel, Gauge, Line and Pie Chartβ’3 minutes
- Visualizing Dataβ’2 minutes
- Demonstration: Problem Statement, Data Ingestion, and Transformationβ’4 minutes
- Demonstration: Setting Up Relationshipsβ’4 minutes
- Demonstration: Creating, Publishing, and Securing Reports in Power BIβ’6 minutes
- Demonstration: Defining the Problem Statement and Loading Dataβ’3 minutes
- Demonstration: Measures and Data Transformationβ’5 minutes
- Demonstration: Creating and Managing Slicersβ’6 minutes
- Demonstration: Visualizing Dataβ’3 minutes
- Demonstration: Formatting the Reportβ’4 minutes
- Summary of Data Visualizationβ’1 minute
2 readingsβ’Total 20 minutes
- Visualization in Power BIβ’10 minutes
- Apply Data Point Limits and Strategies by Visual Typeβ’10 minutes
3 assignmentsβ’Total 42 minutes
- Practice Quiz : Introduction to Visualsβ’6 minutes
- Practice Quiz: Visualizing Dataβ’6 minutes
- Knowledge Check : Data Visualizationβ’30 minutes
In this module, explore Power BI Service to manage and interact with reports and dashboards. Use AI features for automated insights, Q&A for deeper data exploration, and leverage scorecards to track performance metrics.
What's included
8 videos1 reading3 assignments
8 videosβ’Total 33 minutes
- Understanding the Report and Performance Analyzer β’5 minutes
- Demonstration: Publishing Reports and Get Insights β’6 minutes
- Demonstration: AI Operationsβ’5 minutes
- Scorecardβ’3 minutes
- Key Features of Scorecardβ’6 minutes
- Creating Scorecard Visualβ’3 minutes
- Demonstration of Scorecardβ’4 minutes
- Summary of Power BI Serviceβ’1 minute
1 readingβ’Total 10 minutes
- Features of Power BI Serviceβ’10 minutes
3 assignmentsβ’Total 42 minutes
- Practice Quiz: Exploring Power BI Serviceβ’6 minutes
- Practice Quiz : Scorecards in Power BI Serviceβ’6 minutes
- Knowledge Check : Power BI Serviceβ’30 minutes
This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz on data transformation, visualization, and AI Analytics in Power BI
What's included
1 video1 reading1 assignment1 discussion prompt
1 videoβ’Total 3 minutes
- Course Summary for Advanced Analytics with Power BIβ’3 minutes
1 readingβ’Total 30 minutes
- Practice Project: Employee Insight Dashboardβ’30 minutes
1 assignmentβ’Total 30 minutes
- Knowledge Check : Advanced Analytics with Power BIβ’30 minutes
1 discussion promptβ’Total 10 minutes
- Describe Your Learning Journeyβ’10 minutes
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Reviewed on Feb 21, 2026
Overall, this learning journey has strengthened my self-awareness, improved my interpersonal skills, and motivated me to continue working on personal growth
Reviewed on Nov 15, 2025
Pretty good overview of the Power BI Desktop and Service. Downloading the sample data and working along with the video is key to the learning process. Don't just watch the videos, FOLLOW them!
Reviewed on Apr 7, 2026
As a beginner, I found this course incredibly helpful.Itβs very hands-on, practical, and covers everything.
Frequently asked questions
Power BI is a Business Intelligence (BI) tool developed by Microsoft. It is used for data analysis, visualization, and sharing insights from various sources. Power BI allows users to connect to multiple data sources, including databases, spreadsheets, cloud services, and online data sources, and then transform and model the data to create interactive reports and dashboards. Most of the time, these stories are designed to follow as data interweaves between rich visual formats and insights.
Data Storytelling refers to the process one conducts in a business environment where they do extensive research and modeling of data based on the principle that every piece of data tells a story, which can help an organization make intelligent decisions to amplify productivity and generate results. Storytelling in Power BI covers all the insightful results one gains and presents them to wider audiences.
The Advanced Analytics with Power BI course is intended for freshers, data analysts, business intelligence professionals, and decision-makers seeking to enhance their data visualization and analytical skills. It is beneficial for individuals looking to gain a deeper understanding of Power BI's advanced features, which allow them to generate complicated reports, dashboards, and derive actionable insights from data. The course also caters to professionals who want to incorporate sophisticated analytics into their decision-making processes.
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