Microsoft Power BI: Data Analysis & AI Dashboards (2025)

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- Curriculum
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Learn to turn raw data into powerful insights with our comprehensive Microsoft Power BI course, designed for data professionals and aspiring data analysts. This hands-on training covers every aspect of Power BI, from data transformation and advanced DAX calculations to sophisticated dashboard creation and AI-driven analytics.
Throughout the course, you will:
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Set Up and Navigate Power BI: Learn to configure Power BI Desktop, navigating its interface, and connecting to a variety of data sources to streamline your data analysis workflow.
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Data Preparation and Transformation: Utilize Power Query to clean, transform, and prepare your data, ensuring high-quality, analysis-ready datasets for accurate insights.
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Advanced Data Modeling: Develop robust data models by establishing relationships between datasets, enabling comprehensive and integrated analysis across multiple data sources.
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Master DAX for Complex Calculations: Apply advanced Data Analysis Expressions (DAX) to perform intricate calculations, enhancing your ability to derive meaningful insights from your data.
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Create Interactive Visualizations and Dashboards: Design and build dynamic reports using a wide range of visualizations, including charts, graphs, maps, and custom visuals, to effectively communicate your findings.
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Leverage AI Tools for Enhanced Analytics: Incorporate Power BI’s artificial intelligence features, such as predictive analytics and anomaly detection, to uncover deeper insights and drive data-driven decision-making.
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Real-World Projects and Practical Applications: Engage in hands-on projects that simulate real business scenarios, including developing dashboards for HR analytics, project management, and customer insights, ensuring you can apply your skills in any professional setting.
Learning Outcomes
By the end of this course, you will be able to:
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Configure and navigate the Power BI Desktop interface, connecting to diverse data sources for seamless integration.
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Clean and transform data using Power Query to create analysis-ready datasets.
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Build and manage data models with established relationships for unified analysis.
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Utilize advanced DAX functions to perform complex calculations and enhance data analysis capabilities.
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Design and develop interactive visualizations and dashboards that effectively communicate business insights.
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Implement Power BI’s AI tools for predictive analytics and anomaly detection to gain deeper insights.
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Create tailored reports and dashboards for various business scenarios, including HR analytics and project management.
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Develop and monitor KPIs and dynamic measures to track and assess business performance.
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Apply best practices in data visualization and dashboard design to support data-driven decision-making.
Career Growth with Power BI
The business intelligence market is projected to reach $33.3 billion by 2025, highlighting the increasing demand for skilled professionals in this field. By mastering Microsoft Power BI, you position yourself at the forefront of data analysis and business intelligence expertise. This course equips you with advanced DAX functions, robust data modeling techniques, and AI-driven analytics, enabling you to create insightful visualizations and dynamic dashboards. Whether you’re aiming to advance in your current role or transition into a data-focused career, the competencies gained from this course will empower you to make strategic, data-informed decisions and achieve competitive salaries in a rapidly expanding industry.
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1What is Power BI?Video lesson
Power BI, a flagship product by Microsoft, stands as a powerful business intelligence (BI) solution, empowering users to extract actionable insights from their data. It offers robust functionalities for data analysis, visualization, and reporting, making it indispensable for modern organizations.
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2Power BI Fundamentals Quiz: Understanding the BasicsQuiz
Test your understanding of the foundational concepts of Power BI with this quiz. Explore key aspects such as integration with Excel, the role of Power BI service in organisations, accessibility through Power BI mobile, and the origins of Power BI development. Sharpen your knowledge and solidify your grasp on essential Power BI fundamentals.
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3Installation StepsVideo lesson
Installing Power BI Desktop involves a series of straightforward steps tailored for different platforms, including Windows and macOS. Users navigate through the installation wizard, ensuring compatibility with their system requirements to kickstart their Power BI journey.
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4Power BI Installation Essentials Quiz: Getting StartedQuiz
Dive into the installation process of Power BI Desktop with this quiz, focusing on crucial steps and compatibility. Explore topics such as supported operating systems, the initial steps for installation on Windows and macOS, and post-installation recommendations. Strengthen your understanding of how to initiate the Power BI Desktop setup efficiently on different platforms, ensuring a smooth start to your analytics journey.
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5Getting familiar with the Power BI Desktop interfaceVideo lesson
The Power BI Desktop interface comprises a suite of tools and panes meticulously designed to streamline the data modeling and report creation process. Users acquaint themselves with the Ribbon toolbar, Data view, Report view, and Visualization panes to navigate seamlessly through Power BI's functionalities.
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6Power BI Desktop Interface Essentials Quiz: Navigating the WorkspaceQuiz
Immerse yourself in the intricacies of the Power BI Desktop interface with this quiz, designed to familiarize you with its various components. Explore topics such as establishing relationships between tables using the Data or Field pane, accessing the Query Editor through the Ribbon menu, and utilizing the Visualization pane to create and customize visualizations. Enhance your understanding of how to navigate the Power BI Desktop workspace effectively, empowering you to leverage its full potential for data analysis and visualization.
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7Uploading data to Power BIVideo lesson
Power BI's versatility shines as users seamlessly integrate data from a plethora of sources, including databases, files (such as Excel and CSV), web services, and cloud platforms. This process ensures a holistic approach to data integration, laying the groundwork for comprehensive analysis.
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8Data Upload Mastery Quiz: Expanding Your Power BI SkillsQuiz
Delve into the intricacies of uploading data to Power BI with this quiz, focusing on the primary methods and supported file formats. Explore topics such as manual data entry, importing data from local files, and connecting to online data sources, uncovering the versatility of Power BI's data acquisition capabilities. Enhance your understanding of how Power BI handles large datasets during the import process, ensuring smooth and efficient data analysis experiences.
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9Data Cleaning and TransformationVideo lesson
With Power Query at their disposal, users embark on a journey of data refinement, purging inconsistencies, and anomalies to ensure data integrity. Through data cleaning, filtering, and transformation operations, users mold raw data into a cohesive and analytically potent form.
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10Data Refinement Essentials Quiz: Exploring Power BI TransformationQuiz
Dive into the core principles of data cleaning and transformation in Power BI with this quiz. Discover the fundamental purposes behind data cleaning, the pivotal role of Power Query, and the significance of data profiling. Explore topics such as data normalization, DAX expressions, and the importance of documenting transformation steps. Strengthen your foundational understanding of data refinement techniques in Power BI, empowering you to effectively prepare data for analysis and visualization.
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11Customer Dataset Excel fileVideo lesson
Users immerse themselves in a hands-on exercise, leveraging Power BI to dissect a mock customer dataset housed within an Excel file. Through iterative data transformation and modeling, users uncover insights into customer demographics, behaviors, and preferences, laying the foundation for strategic decision-making.
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12Activity - Transform and Clean Gap-Minded datasetText lesson
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13Activity / Challenge – SolutionVideo lesson
Engage in a comprehensive data transformation challenge, leveraging Power BI to tame the complexities of the Gapminder dataset. By applying advanced data cleansing and merging techniques, users refine raw data into a polished gem ready for in-depth analysis.
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14Importing a .CSV fileVideo lesson
This foundational step involves importing CSV files into Power BI, initiating the process of constructing robust data models. Users meticulously structure and format the imported data, setting the stage for establishing relationships, defining calculated columns, and creating measures. This step is crucial for laying the groundwork for comprehensive analysis and insightful reporting.
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15Importing 2 different datasets and Establishing relationshipVideo lesson
In this advanced data modeling technique, users merge disparate datasets and establish relationships between them. By connecting related tables and defining cardinality, users create a relational structure that facilitates seamless data analysis across multiple datasets. This approach enhances data coherence and enables comprehensive insights into complex data relationships.
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16Power Query in Power BI - data cleaning and transformation.Quiz
Immerse yourself in the core principles of data modeling in Power BI with this quiz. Explore essential concepts such as establishing relationships between tables, understanding star schema architecture, and defining cardinality for effective data representation. Delve into the significance of calculated columns, managing relationships, and automatic data refreshes, empowering you to organize and structure data efficiently for insightful analysis. Strengthen your foundational understanding of data modeling in Power BI and unlock the full potential of your analytical capabilities.
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17Activity - Importing data from web and merging it with Excel datasetText lesson
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18Activity / Challenge - SolutionVideo lesson
This hands-on challenge immerses you in the process of integrating web data with existing datasets in Power BI. By leveraging web scraping and data import functionalities, users enrich their datasets with real-time and relevant information sourced from the web. Through advanced data merging techniques, users combine web data with Excel datasets, unlocking new insights and broadening the scope of analysis.
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19Report architecture - Creating reports using Report Editor, .pbix filesVideo lesson
Power BI reports are built using the Report Editor within Power BI Desktop, allowing users to design interactive and visually appealing dashboards. Reports are saved as .pbix files, enabling easy sharing and collaboration. Understanding the report architecture is essential for creating compelling visualizations and conveying insights effectively.
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20Report Creation Essentials Quiz: Navigating Power BI's Report EditorQuiz
Dive into the heart of report creation with this quiz focused on Power BI's Report Editor. Explore essential concepts such as the file extension for Power BI report files (.pbix), the role of Report Editor in visually designing and editing reports, and the purpose of the "Data" view for managing the underlying dataset. Strengthen your understanding of Power BI's report architecture and gain confidence in creating impactful reports to convey insights effectively.
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21Scatter chartsVideo lesson
Scatter charts are valuable for visualizing relationships between two numerical variables. By plotting data points on a Cartesian plane, users can identify patterns, trends, and outliers with ease. Customization options such as markers and trend lines enhance the interpretability of scatter charts, facilitating insightful data analysis.
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22Scatter Chart Proficiency Quiz: Exploring Data RelationshipsQuiz
Uncover the intricacies of scatter charts with this quiz focused on visualizing data relationships. Explore essential concepts such as the representation of X and Y coordinates, the visualization of correlations between variables, and customization options for data points. Gain a deeper understanding of when to use scatter charts and how they differ from other chart types, empowering you to effectively analyze and communicate insights derived from numerical data.
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23Bar charts and Column chartsVideo lesson
Bar and column charts are fundamental visualization types for comparing categorical data or displaying trends over time. With customizable axes, colors, and data labels, users can create visually engaging charts that convey insights clearly and effectively to stakeholders.
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24Bar & Column Chart Essentials Quiz: Visualizing Data DistributionQuiz
Dive into the fundamentals of bar and column charts with this quiz focused on visualizing data distribution. Learn about the key differences between bar and column charts, such as their orientation and ideal use cases. Discover how to adjust the width and appearance of bars or columns to effectively represent categorical data. Strengthen your understanding of when to use bar or column charts and how to customize them to enhance visual clarity and emphasis.
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25Activity - Visualize the data using Bar plot, Column plot and Scatter plotText lesson
In this activity, you will learn to create and interpret bar plots, column plots, and scatter plots in Power BI. These visualizations will help you compare categorical data, observe trends over time, and explore relationships between variables, enhancing your ability to analyze and present your data effectively.
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26Activity / Challenge - SolutionVideo lesson
In this activity, you will learn to create and interpret bar plots, column plots, and scatter plots in Power BI. These visualizations will help you compare categorical data, observe trends over time, and explore relationships between variables, enhancing your ability to analyze and present your data effectively.
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27Line ChartsVideo lesson
Line charts are essential for visualizing trends and patterns in time-series data, while combo charts allow users to overlay multiple data series on a single chart. These visualization types empower users to uncover insights and trends within their data, facilitating informed decision-making.
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28Line & Combo Chart Essentials Quiz: Visualizing Trends and ComparisonsQuiz
Explore the essentials of line and combo charts with this quiz focused on visualizing trends and comparisons. Learn about the ideal use cases for line charts, particularly with time-series data, and understand the differences between line charts and scatter charts. Discover the advantages of using combo charts in Power BI, including the ability to combine multiple chart types within a single visualization. Strengthen your understanding of when to use combo charts and how to switch between different chart types effectively.
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29Pie chart & Doughnut ChartsVideo lesson
Pie and doughnut charts offer a concise way to represent parts of a whole, making them ideal for showcasing proportions and percentages. With customizable slices and labels, users can highlight key insights and trends within their data, facilitating quick and intuitive decision-making.
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30Pie & Doughnut Chart Essentials Quiz: Visualizing ProportionsQuiz
Explore the essentials of pie and doughnut charts with this quiz focused on visualizing proportions. Learn about the ideal use cases for pie charts, particularly with categorical data, and understand the differences between pie and doughnut charts. Discover the limitations of pie charts when representing a large number of categories and how to enhance readability. Strengthen your understanding of when to use doughnut charts instead of pie charts for comparing proportions of multiple datasets.
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31Activity - Display a variation of Pie chart which is Aster PlotText lesson
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32Activity / Challenge - SolutionVideo lesson
Engage in an interactive challenge to explore the Aster Plot, a unique variation of the traditional pie chart. By representing data points as circles within concentric rings, users can visualize multiple variables simultaneously, uncovering complex relationships and patterns within their data with precision and clarity.
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33Table and MatrixVideo lesson
Tables and matrices in Power BI provide structured views of data, ideal for presenting detailed information and facilitating data exploration. With features like sorting, filtering, and conditional formatting, users can manipulate tabular data dynamically, gaining insights into trends, patterns, and anomalies with ease.
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34Table & Matrix Essentials Quiz: Structured Data DisplayQuiz
Explore the essentials of tables and matrices in Power BI with this quiz focused on structured data display. Learn about the primary differences between tables and matrices, including their support for hierarchical grouping. Discover the suitability of matrices for displaying summarized data with row and column subtotals. Understand how to apply conditional formatting to enhance data visualization and learn about interaction behaviors unique to matrices, such as drill-down interactions.
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35Filled mapVideo lesson
Filled maps offer a geographical perspective to data analysis, allowing users to visualize data distribution across regions. By shading regions based on data values, users can identify spatial trends and patterns, facilitating location-based insights and decision-making.
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36Filled Map Essentials Quiz: Visualizing Geographic DataQuiz
Delve into the essentials of filled maps in Power BI with this quiz focused on visualizing geographic data. Learn about the distinguishing feature of filled maps—displaying data using shaded areas. Discover how to customize the appearance of filled maps by adjusting the opacity of map elements. Understand the suitability of filled maps for visualizing geographic data and learn about the significance of shaded areas representing the density of data points.
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37TreemapVideo lesson
Treemaps are useful for visualizing hierarchical data structures, where the size and color of rectangles represent different values. By organizing data into nested rectangles, users can discern patterns and relationships within complex datasets, facilitating deeper insights and understanding.
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38Treemap Quiz: Visualizing Hierarchical Data in Power BIQuiz
Delve into the world of treemaps in Power BI with this quiz focused on hierarchical data visualization. Explore how treemaps utilize nested rectangles to represent categories and sub-categories, highlighting data values through rectangle sizes. Gain insights into the advantages of treemaps for providing hierarchical overviews of data structures, and learn to customize layouts by adjusting rectangle sizes.
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39Area ChartsVideo lesson
Area charts are effective for visualizing trends over time, similar to line charts but with filled areas beneath the lines. This visualization type highlights the magnitude of change over time, making it ideal for illustrating cumulative values or proportions within a dataset.
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40Area Chart Quiz: Visualizing Trends Over Time in Power BIQuiz
Dive into the world of area charts in Power BI with this quiz focused on visualizing trends over time. Learn how area charts display cumulative sums of data points as filled areas, providing insights into trends and patterns. Explore when to use area charts and how to customize their appearance by adjusting filled area colors.
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41Funnel chartVideo lesson
Funnel charts are commonly used in sales and marketing to visualize the progressive stages of a process, such as the sales pipeline. By representing data as progressively decreasing or increasing values, users can identify bottlenecks or areas for improvement within the process.
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42Funnel Chart Quiz: Visualizing Process Stages in Power BIQuiz
Explore the world of funnel charts in Power BI with this quiz focused on visualizing process stages. Learn how funnel charts represent data using tapered lines to depict the progression of values through stages. Discover when to use funnel charts and how to customize them by adding data labels for clarity.
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43Card and Multi-row CardVideo lesson
Card visuals display single numeric values or text summaries, providing a quick snapshot of key metrics. Multi-row cards extend this functionality to display multiple values in a tabular format, offering flexibility in summarizing and presenting data insights.
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44Power BI Cards and Multi-row Cards: Summary Visualization EssentialsQuiz
Delve into the essentials of Power BI visualization with cards and multi-row cards. Understand how these visual elements provide concise summaries of key metrics and support multiple measures or attributes. Learn how to customize their appearance and leverage their advantages in dashboard design.
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45Other visual elements like Textbox, Image and ShapeVideo lesson
In addition to standard chart types, Power BI offers various visual elements such as text boxes, images, and shapes for enhancing report aesthetics and conveying additional context. These elements allow users to customize reports and dashboards, making them more engaging and informative.
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46Enhancing Power BI Reports with Textboxes, Images, and ShapesQuiz
Explore the versatility of Power BI's visual elements like textboxes, images, and shapes. Learn how textboxes provide context and annotations, discover how to leverage images for visual appeal and branding, and understand the role of shapes in providing additional context to visualizations. Dive into customization options to make your reports informative and visually engaging.
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47ActivityText lesson
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48Activity / Challenge - SolutionVideo lesson
Engage in a hands-on challenge to apply and consolidate knowledge gained from the course topics. By completing real-world tasks and scenarios, users reinforce their understanding of Power BI concepts and develop practical skills for data analysis and visualization.
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49Superstore Data Analysis Mini Project - Dashboard CreationVideo lesson
In this Power BI mini project, you will dive into the world of Superstore Data Analysis. Using a real-world dataset from a superstore, you will create a dynamic and insightful dashboard to visualize key metrics such as sales and profit. This project focuses on developing essential Power BI skills, enabling you to turn raw data into meaningful insights through various visualizations.
Project Objectives:
Analyze and explore the superstore dataset to understand sales and profit distributions.
Create and customize a variety of Power BI visuals to represent the data effectively.
Develop a comprehensive dashboard that provides clear, actionable insights into superstore performance.
Key Visualizations:
Bubble Map:
Visualizes total sales per state, helping to identify high-revenue regions through bubble size representation.
Tree Map:
Displays average profit per region and state, providing a hierarchical view of profitability to compare different areas easily.
Donut Chart:
Shows average profit per product category, highlighting the most profitable categories at a glance.
Column Chart:
Illustrates total sales per month, segmented by product category, to reveal trends over time and category performance.
Waterfall Chart:
Demonstrates total profit by customer segment, showing the contribution of each segment to overall profitability.
By completing this project, you will gain hands-on experience in using Power BI for business intelligence reporting and develop the ability to create visually compelling dashboards that support data-driven decision-making. This mini project is perfect for students, professionals, and data enthusiasts looking to enhance their Power BI skills and understanding of superstore data analytics.
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50Creating new Measures, Quick Measure, Iterator functions, Date, Time etcVideo lesson
Measures in Power BI are dynamic calculations based on the data model, computed at runtime. By writing DAX expressions, users can create custom measures to perform calculations such as sums, averages, counts, and more, empowering them to derive valuable insights from their data.
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51DAX Essentials Quiz: Data Analysis Expressions in Power BIQuiz
Take this quiz to assess your understanding of Data Analysis Expressions (DAX) in Power BI. Explore the primary purpose of DAX, learn about its functions, and discover how to perform data analysis and calculations effectively. From measures to iterators, this quiz covers essential concepts to help you enhance your skills in Power BI data modeling and analysis.
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52Activity - Measure Creation ChallengeText lesson
In this activity, you will develop your skills in creating and using measures in Power BI. You will learn how to create custom calculations to derive meaningful insights from your data. This challenge will enhance your ability to perform advanced data analysis and improve the accuracy and depth of your reports.
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53Activity / Challenge - SolutionVideo lesson
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54Leveraging AI in Power BIVideo lesson
Dive into the future of analytics with "Leveraging AI in Power BI," a key module of our Power BI course on Udemy, designed to equip you with the skills to integrate AI for enhanced data analysis. This lecture is ideal for data professionals and enthusiasts eager to transform data into actionable insights using AI in Power BI. Elevate your analytics game by harnessing the power of AI to make informed decisions with speed and accuracy.
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55Test Your Understanding of Artificial Intelligence FeatureQuiz
This quiz is designed to evaluate your knowledge of artificial intelligence (AI) features in Power BI. Explore how AI capabilities enhance data analysis, visualization, and insights generation within the Power BI tool. Test your understanding of key concepts such as natural language queries, AI visuals, and automated machine learning.
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56AI-Powered Anomaly Detection in Power B-IVideo lesson
In this video, we'll explore how to leverage AI-powered anomaly detection in Power B-I to identify and analyze unusual patterns in your data. We'll start by creating a line chart and enabling the anomaly detection feature. You'll learn how to adjust sensitivity settings and add relevant fields to get detailed explanations of detected anomalies. We'll also cover the importance of detecting anomalies for making informed decisions and optimizing your data analysis. Finally, we'll touch on customization options for further refining your anomaly detection process. Whether you're new to Power B-I or looking to enhance your data analysis skills, this step-by-step guide will provide you with valuable insights and practical tips.
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57Introduction to Power BI ComponentsVideo lesson
This section provides an overview of the various components that make up Power BI, including Power BI Desktop, Power BI Service, and Power BI Mobile. It covers their roles in the data analysis and visualization process, and how they interact with each other to provide a comprehensive business intelligence solution.
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58Quiz on Power BI ComponentsQuiz
This quiz is designed to test your understanding of the key components of Power BI, including Power BI Desktop, Power Query, Power Pivot, Power BI Maps, and Power BI Service. By answering these multiple-choice questions, you will reinforce your knowledge of how these components function and their primary features. This quiz will help solidify your comprehension and prepare you for practical application in real-world scenarios.
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59Introduction to Power QueryVideo lesson
This section introduces Power Query, a data connection technology that enables you to discover, connect, combine, and refine data across a wide variety of sources. It focuses on how to use Power Query to prepare your data for analysis by cleaning, transforming, and loading it into Power BI.
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60Power Query Essentials QuizQuiz
This quiz is designed to evaluate your understanding of Power Query, a critical tool in data transformation within the Power BI ecosystem. The questions will cover various aspects of Power Query, including its primary functions, capabilities, benefits, limitations, and accessibility. By completing this quiz, you will reinforce your knowledge of how Power Query operates and its role in preparing data for analysis and visualization. This assessment aims to ensure you are well-equipped to utilize Power Query effectively in real-world data transformation tasks.
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61Introduction to Power Pivot & ServiceVideo lesson
This section covers Power Pivot, an Excel add-in used for data modeling and analysis, and Power BI Service, an online platform for sharing and collaborating on Power BI reports and dashboards. It explains how Power Pivot allows for advanced data modeling, while Power BI Service facilitates sharing insights and collaborating with others.
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62Power Pivot and Power BI Service Essentials QuizQuiz
This quiz evaluates your understanding of two critical components of Power BI: Power Pivot and Power BI Service. The questions will cover various aspects of Power Pivot, including its primary functions, the language it uses for calculations, its benefits, the ability to create data relationships, and its accessibility. Additionally, the quiz will assess your knowledge of Power BI Service, focusing on its primary functions, features for sharing and collaboration, and accessibility on mobile devices. By completing this quiz, you will reinforce your knowledge of how to use Power Pivot for advanced data modeling and calculations, as well as how to leverage Power BI Service for publishing, sharing, and accessing reports and dashboards. This quiz aims to ensure you are well-prepared to utilize both components effectively for comprehensive data analysis and collaboration within the Microsoft ecosystem.
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63Introduction to Power BI MapsVideo lesson
This lecture covers the essentials of mapping in Power BI, focusing on Filled Maps, Bubble Maps, and ArcGIS Maps. Learn to visualize geographical data effectively through practical examples and detailed instructions.
Key Topics:
Filled Maps: Creating and customizing to show regional data distributions.
Bubble Maps: Using bubbles to represent data points and magnitudes.
ArcGIS Maps: Advanced mapping features for enhanced geographical insights.
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64Power BI Maps Essentials QuizQuiz
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65Customer Complaints DashboardVideo lesson
This dashboard example showcases a comprehensive view of customer complaints data, providing insights into complaint trends, resolution times, and customer satisfaction levels. By leveraging interactive visuals and filters, stakeholders can drill down into specific complaint categories and identify areas for improvement in customer service operations.
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66Online Streaming Platform DashboardVideo lesson
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67Covid 19 DashboardVideo lesson
This dashboard example tracks the spread and impact of the COVID-19 pandemic, providing real-time updates on infection rates, mortality rates, and vaccination progress. With interactive maps, charts, and timelines, stakeholders can monitor epidemiological trends, assess healthcare system capacity, and make informed decisions to mitigate the spread of the virus.
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68Hotel Booking Analysis with Power BI: Comprehensive Dashboard CreationVideo lesson
Dive into an exciting project designed to elevate your Power BI skills by analyzing hotel booking data and creating a dynamic, interactive dashboard. This hands-on project is perfect for students eager to transform raw data into meaningful insights.
We begin by uploading and cleaning a dataset rich with information about hotel bookings, including hotel types, booking details, guest demographics, market segments, and revenue metrics. You'll learn how to prepare and structure this data for effective analysis.
Next, we'll create essential measures using DAX, such as total bookings, total revenue, and average lead time, which will form the foundation for our analysis.
Finally, we'll bring our data to life by designing a comprehensive dashboard that includes:
Line Chart for booking trends over time
Scatter Plot to visualize total bookings by month
Matrix Visual for an overview of reservation statuses
Column and Bar Charts to compare revenue across market segments
Pie and Donut Charts for distribution analysis
Bubble Map for geographical insights
Slicers for interactive data filtering
Throughout this project, you'll gain hands-on experience in creating visually appealing and insightful reports that support data-driven decision-making. Join us to master Power BI and uncover valuable insights within the hotel industry!
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69Comprehensive Project Management Dashboard CreationVideo lesson
Welcome to the "Comprehensive Guide to Creating a Project Management Dashboard in Power BI" course. In this course, you will learn how to transform raw project data into a visually appealing and insightful dashboard using Power BI. This project is designed to give you hands-on experience with real-world data, enhancing your skills in data import, transformation, measure creation, and dashboard development.
Project Overview:
In this project, we will work with a dataset containing various project records. The dataset includes key attributes such as project names, types, managers, regions, departments, costs, benefits, complexity, status, completion percentages, phases, and timelines. We will go through the entire process of creating a comprehensive Project Management Dashboard, covering the following phases:
Data Import:
Learn how to load the dataset into Power BI.
Understand the structure of the dataset and the significance of each attribute.
Data Transformation:
Clean and reshape the data to prepare it for analysis.
Remove unnecessary columns, handle missing values, and format data types.
Ensure data integrity and accuracy for reliable analysis.
Measure Creation:
Define key metrics essential for project management.
Create measures such as the average of completion, average of benefit, and average of cost.
Utilize these measures to gain deeper insights into project performance.
Dashboard Creation:
Build an interactive and visually appealing dashboard.
Add various visualizations, including charts, graphs, and tables.
Assemble these visualizations to provide a comprehensive view of the project data.
Focus on making the dashboard user-friendly and interactive.
Learning Outcomes:
By the end of this course, you will be able to:
Import and clean data in Power BI.
Transform and prepare data for analysis.
Create dynamic measures to perform key calculations.
Develop an interactive and insightful Project Management Dashboard.
Analyze project data to make informed decisions.
Gain confidence in using Power BI for real-world projects.
Course Materials:
The dataset used in this project.
Images and visual elements incorporated into the dashboard.
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70Workforce Insights: HR Analytics DashboardVideo lesson
Welcome to the "HR Analytics" project, where we dive deep into the realm of human resources data to uncover insights that drive strategic decision-making. This comprehensive Power BI dashboard focuses on understanding and analyzing employee attrition, providing actionable insights to help improve retention strategies and overall workforce management.
Project Overview:
In this project, we have transformed a raw HR dataset into a dynamic and visually engaging dashboard. Our primary aim is to analyze employee attrition—understanding who is leaving the company, why they are leaving, and identifying patterns that can inform effective retention strategies. By leveraging the capabilities of Power BI, we've created a tool that not only visualizes data but also facilitates in-depth analysis and strategic planning.
Key Features:
Data Import and Preparation:
The project begins by importing the HR dataset into Power BI, ensuring data integrity and preparing it for insightful analysis.
Interactive Slicers:
We have included slicers for the department and job role, allowing users to filter and explore data dynamically. This enhances the dashboard's interactivity and helps users drill down into specific areas of interest.
Comprehensive Visualizations:
Various charts and graphs are utilized to visualize attrition trends. These include:
A bar chart to visualize attrition by job role, focusing on roles with higher attrition rates.
A donut chart showcasing the distribution of total attrition by education field.
Additional visualizations to analyze attrition trends by age, department, and other relevant metrics.
Card Visuals for Key Metrics:
Card visuals display essential metrics at a glance, such as total employees, attrition rate, average age, average salary, and average years at the company. These metrics provide quick insights into the overall workforce composition.
Customization and Aesthetic Enhancements:
The dashboard's layout is optimized for clarity and usability, with carefully chosen color schemes and fonts to ensure a cohesive and visually appealing presentation.
Project Benefits:
Actionable Insights: The dashboard provides a clear view of attrition trends, enabling HR managers to develop targeted retention strategies.
Enhanced Decision-Making: By visualizing key metrics and trends, stakeholders can make informed decisions based on real data.
Interactive Exploration: The inclusion of interactive slicers allows for dynamic data exploration, helping users uncover specific insights.
User-Friendly Design: The dashboard's intuitive design ensures that even users with minimal technical expertise can navigate and extract valuable information.

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