• Post category:StudyBullet-22
  • Reading time:5 mins read


Make data models, prepare data using Power Query, create charts & reports and do advanced analysis using DAX in Power BI
⏱️ Length: 7.4 total hours
⭐ 4.52/5 rating
πŸ‘₯ 25,433 students
πŸ”„ November 2025 update

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    • Course Overview

    • This course offers a streamlined pathway for individuals to leverage Power BI, guiding learners from foundational concepts to advanced data manipulation and visualization. It’s meticulously designed to equip you with practical skills to transform raw data into actionable business intelligence, fostering a data-driven approach to problem-solving.
    • Embrace proficiency in modern business intelligence, understanding how to connect disparate data sources, architect robust data models, and create compelling narratives through interactive dashboards. The curriculum emphasizes a hands-on experience, applying concepts effectively in real-world scenarios.
    • Dive deep into the Power BI ecosystem, gaining a comprehensive understanding of its capabilities beyond just visual creation. You will explore the synergy between components, learning to optimize data flow from ingestion to insightful reporting, enhancing analytical prowess.
    • Navigate the entire data analytics lifecycle within Power BI, from initial data acquisition and rigorous preparation using Power Query to sophisticated data modeling with DAX. This holistic approach ensures a well-rounded skill set, enabling you to tackle diverse data challenges with confidence.
    • Understand the strategic importance of effective data storytelling, learning to present complex insights in a manner that resonates with different audiences and drives informed decision-making. This focuses on impactful communication beyond basic chart creation.
    • This updated course incorporates the latest features and best practices in Power BI, ensuring your learning is relevant and aligned with current industry standards. You will develop a contemporary understanding of business intelligence tools, preparing you for the evolving data landscape.
    • Requirements / Prerequisites

    • While no extensive prior Power BI experience is strictly necessary, basic familiarity with fundamental computer operations and navigating typical software applications will be beneficial. The course guides you from the ground up, making advanced concepts accessible.
    • A foundational understanding of data concepts like tables, rows, columns, and relationships will aid quicker grasp of data modeling. Exposure to spreadsheet software like Excel can provide helpful context for data manipulation, though not mandatory.
    • Access to a Windows PC capable of running Power BI Desktop is required, as the software is central to hands-on exercises and project work. Ensure your system meets minimum specifications for a smooth learning experience.
    • A genuine curiosity for data and a willingness to learn new analytical tools are the most crucial prerequisites. This course is for anyone eager to unlock insights from data and enhance their decision-making capabilities.
    • Skills Covered / Tools Used

    • Data Sourcing and Connection: Gain expertise in establishing robust connections to a multitude of data sources, from local files and databases to cloud services, ensuring you can integrate diverse data ecosystems into Power BI for comprehensive analysis.
    • Dimensional Modeling Principles: Learn to design efficient and scalable data models within Power BI, applying best practices of star and snowflake schemas to optimize performance and ensure data integrity for complex analytical queries.
    • Advanced Querying and M-language: Beyond basic data transformation, delve into the intricacies of Power Query’s M-language, enabling custom transformations, handling complex data types, and automating intricate data preparation workflows with high precision.
    • DAX (Data Analysis Expressions) Mastery: Develop a deep understanding of DAX, moving beyond simple aggregations to create sophisticated measures, calculated tables, and context-aware calculations that unlock profound business insights and enable complex analytical scenarios.
    • Interactive Report Design and UX: Master user experience (UX) and user interface (UI) design principles in dashboards, creating intuitive, engaging, and highly informative reports that effectively guide stakeholders through data stories.
    • Performance Optimization Techniques: Acquire skills in optimizing Power BI reports and data models for speed and efficiency, learning to identify bottlenecks and implement strategies to ensure your dashboards remain responsive and scalable with large datasets.
    • Data Storytelling and Communication: Cultivate the art of transforming raw data into compelling narratives, learning to structure reports and visualizations to highlight key findings, support arguments, and facilitate clear, impactful communication to diverse audiences.
    • Benefits / Outcomes

    • Elevated Career Prospects: Position yourself as a highly sought-after professional in the data-driven economy, equipped with in-demand business intelligence skills, opening doors to roles in data analysis, BI development, and more.
    • Empowered Decision Making: Gain the ability to generate timely, accurate, and insightful reports that directly support strategic and operational decision-making within any organization, transforming you into a valuable asset.
    • Increased Personal and Organizational Efficiency: Streamline tedious manual data processing tasks through Power BI’s automation, significantly reducing time spent on data preparation and allowing more focus on analysis.
    • Comprehensive Data Understanding: Develop a holistic perspective on data lifecycle management, from raw collection to sophisticated visualization, enabling you to critically assess data quality, identify trends, and derive meaningful patterns.
    • Confidence in Data Presentation: Build confidence to present complex data insights clearly and persuasively to any audience, leveraging Power BI’s dynamic features to answer follow-up questions and foster data literacy.
    • PROS

    • Structured Learning Path: The course provides a logical progression from foundational concepts to advanced topics, ensuring a smooth and comprehensive learning experience for all skill levels.
    • Highly Practical and Project-Oriented: Emphasizes hands-on application and real-world scenarios, allowing learners to immediately implement acquired knowledge in practical projects and case studies.
    • Up-to-Date Content: Regularly updated to reflect the latest Power BI features and industry best practices, ensuring learners gain relevant and current skills.
    • Strong Community and Support: With over 25,000 students, learners benefit from a vibrant community for discussion and problem-solving, enhancing the overall learning journey.
  • CONS

  • Time Commitment: Given its comprehensive nature, mastering all aspects requires dedicated effort and consistent practice beyond the initial 7.4 hours of course material.
Learning Tracks: English,Office Productivity,Microsoft
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