Welcome to the Advanced Analytics with Power BI course, where you will get hands-on experience with Power BI’s 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 BI’s 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.
涵盖的内容
19个视频3篇阅读材料5个作业1个讨论话题
显示有关单元内容的信息
19个视频•总计82分钟
Course Introduction•3分钟
What is Power BI?•6分钟
Applications of Power BI•2分钟
Installation of Power BI Desktop and Service•6分钟
Working with Power BI•4分钟
Data Models•4分钟
Data Modeling and it's Importance•3分钟
Power BI Desktop Interface•7分钟
Power BI Service Interface •5分钟
Data Sources in Power BI Desktop•6分钟
Data Transformation - Query Editor•5分钟
Data Cleaning - Text, Number, Date - Time, and AI•5分钟
Cleaning Data - View•3分钟
Shaping Data Relationships•4分钟
Demonstration: Data Transformation – Problem Description•2分钟
Demonstration: Transforming the Data•5分钟
Demonstration: Shaping Data•3分钟
Demonstration: Transforming Book Reviews Data•5分钟
Summary of Data Modeling and Transformation•2分钟
3篇阅读材料•总计30分钟
Welcome to Advanced Analytics with Power BI•10分钟
Building Blocks of Power BI•10分钟
Relationships in Power BI•10分钟
5个作业•总计54分钟
Knowledge Check : Data Modeling and Transformation•30分钟
Practice Quiz: Introduction to Power BI•6分钟
Practice Quiz: Data Sources and Frameworks•6分钟
Practice Quiz : Data Transformation Techniques in Power BI•6分钟
Practice Quiz: Practice Session on Transformations•6分钟
1个讨论话题•总计10分钟
Introduce Yourself•10分钟
Data Analysis Expression (DAX) - Formulas and Functions
第 2 单元•小时 后完成
单元详情
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.
涵盖的内容
16个视频1篇阅读材料3个作业
显示有关单元内容的信息
16个视频•总计72分钟
Introduction to DAX•4分钟
DAX Queries - Operators•3分钟
DAX Queries - Calculation Types•5分钟
Calculated Tables and Measures•4分钟
DAX Functions and Operations•3分钟
Demonstration: SUMX(), COUNTX() and IF() Functions•5分钟
Demonstration: Variables, SWITCH(), CALENDAR(), and FORMAT()•6分钟
Demonstration: Time Intelligence Functions•6分钟
Demonstration: RELATED(), RELATEDTABLE() and AVERAGE()•4分钟
Demonstration: CALCULATE(), ALL(), and Logical Functions•5分钟
Railway Analysis Project: Importing Data•3分钟
Project Railway Analysis: Transform the Data •7分钟
Project Railway Analysis: Measures (Arrival and Revenue)•7分钟
Project Railway Analysis: Measures (Satisfactory Rating and Total Revenue)•7分钟
Demonstration: Concluding the Report•3分钟
Summary for DAX - Functions and Formulas•1分钟
1篇阅读材料•总计10分钟
General DAX Formulas•10分钟
3个作业•总计42分钟
Knowledge Check : DAX•30分钟
Practice Quiz : DAX Queries•6分钟
Practice Quiz : DAX Operations and Functions•6分钟
Data Visualization
第 3 单元•小时 后完成
单元详情
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
涵盖的内容
14个视频2篇阅读材料3个作业
显示有关单元内容的信息
14个视频•总计53分钟
Populating Charts and Visuals•3分钟
Visualization Types – Basic Area and Bar - Column Chart•4分钟
Combination Charts – Line and Doughnut•4分钟
Funnel, Gauge, Line and Pie Chart•3分钟
Visualizing Data•2分钟
Demonstration: Problem Statement, Data Ingestion, and Transformation•4分钟
Demonstration: Setting Up Relationships•4分钟
Demonstration: Creating, Publishing, and Securing Reports in Power BI•6分钟
Demonstration: Defining the Problem Statement and Loading Data•3分钟
Demonstration: Measures and Data Transformation•5分钟
Demonstration: Creating and Managing Slicers•6分钟
Demonstration: Visualizing Data•3分钟
Demonstration: Formatting the Report•4分钟
Summary of Data Visualization•1分钟
2篇阅读材料•总计20分钟
Visualization in Power BI•10分钟
Apply Data Point Limits and Strategies by Visual Type•10分钟
3个作业•总计42分钟
Knowledge Check : Data Visualization•30分钟
Practice Quiz : Introduction to Visuals•6分钟
Practice Quiz: Visualizing Data•6分钟
Power BI Service
第 4 单元•小时 后完成
单元详情
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.
涵盖的内容
8个视频1篇阅读材料3个作业
显示有关单元内容的信息
8个视频•总计33分钟
Understanding the Report and Performance Analyzer •5分钟
Demonstration: Publishing Reports and Get Insights •6分钟
Demonstration: AI Operations•5分钟
Scorecard•3分钟
Key Features of Scorecard•6分钟
Creating Scorecard Visual•3分钟
Demonstration of Scorecard•4分钟
Summary of Power BI Service•1分钟
1篇阅读材料•总计10分钟
Features of Power BI Service•10分钟
3个作业•总计42分钟
Knowledge Check : Power BI Service•30分钟
Practice Quiz: Exploring Power BI Service•6分钟
Practice Quiz : Scorecards in Power BI Service•6分钟
Course Wrap-Up and Assessment
第 5 单元•小时 后完成
单元详情
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
涵盖的内容
1个视频1篇阅读材料1个作业1个讨论话题
显示有关单元内容的信息
1个视频•总计3分钟
Course Summary for Advanced Analytics with Power BI•3分钟
1篇阅读材料•总计30分钟
Practice Project: Employee Insight Dashboard•30分钟
1个作业•总计30分钟
Knowledge Check : Advanced Analytics with Power BI•30分钟
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themselves with industry-relevant skills in today’s cutting edge technologies.
Overall, this learning journey has strengthened my self-awareness, improved my interpersonal skills, and motivated me to continue working on personal growth
R
RC
4·
已于 Nov 15, 2025审阅
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!
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PS
5·
已于 Apr 7, 2026审阅
As a beginner, I found this course incredibly helpful.It’s very hands-on, practical, and covers everything.
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.
What is data storytelling?
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.
Who is the intended audience for the Advanced Analytics with Power BI course?
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.
What are the prerequisites for Advanced Analytics with Power BI course?
The prerequisites for learning Data Storytelling with Power BI include:
Data Fundamentals: A basic understanding of data concepts, such as databases, tables, and data types.
Excel Skills: Proficiency in Microsoft Excel can be helpful since Power BI shares some similarities in data manipulation and formulas.
Data Sources: Understanding of where your data is stored, whether it's in databases, spreadsheets, cloud services, or other sources.
Power BI Pro: Access to Power BI Pro or free Power BI Pro trial accessed through @onmicrosoft.com account
While these are helpful prerequisites, it's worth noting that Power BI is designed to be user-friendly and accessible to many users. Beginners can start with basic tasks and gradually build their skills as they gain more experience with the tool.
Does the Advanced Analytics with Power BI course cover Power BI Desktop and Power BI Service?
Yes, the course is designed to cover Power BI Desktop and Service.
Will I learn how to create custom visualizations?
Yes, Custom Visuals are created with their configurations to show the best results.
Do I need a Power BI license to take this course?
Yes, There are three types of Power BI licenses: Free, Pro, and Premium/Premium per capacity. Before enrolling in the course, the learner must subscribe to the Power BI Pro license, which can be gained via onmicrosoft.com account credentials. Advanced Analytics with Power BI course is designed and implemented on a Power BI Pro account.
What software and hardware requirements are there for this course?
Operating System Compatibility: Power BI Desktop is compatible with the following Windows operating systems:
Windows 11 (64-bit) or Windows 10 (64-bit)
Processor: A 64-bit processor with at least 1.4 GHz speed or higher is recommended.
Memory (RAM): A minimum of 4 GB RAM is required, but 8 GB or more is recommended for better performance.
Hard Drive Space: You need at least 2 GB of free hard drive space for the installation.
What skills will I gain?
You’ll gain advanced skills in data modeling, DAX, visual analytics, and interactive reporting for business decision-making.
Do I need a Power BI Pro subscription?
The free Power BI Desktop is sufficient for practice; Pro is only required for advanced sharing and collaboration.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.