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Dr. Nasir Munir

In today’s data-driven world, the ability to transform raw data into actionable insights is a critical skill across industries. "Power BI Mastery: From Data Fundamentals to Advanced Analytics" is a comprehensive, hands-on course designed to equip participants with the end-to-end skills needed to become proficient Power BI professionals.

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In today’s data-driven world, the ability to transform raw data into actionable insights is a critical skill across industries. "Power BI Mastery: From Data Fundamentals to Advanced Analytics" is a comprehensive, hands-on course designed to equip participants with the end-to-end skills needed to become proficient Power BI professionals.

Whether you're a beginner seeking to break into data analytics or a business professional aiming to enhance your decision-making capabilities, this course will guide you through the full spectrum of Power BI’s capabilities—from data connection and modeling to advanced DAX and interactive dashboard creation.

You’ll start by learning the core principles of Business Intelligence (BI) and exploring the Power BI ecosystem, including Power BI Desktop, Service, and Mobile. Through real-world scenarios and projects, you’ll gain hands-on experience in connecting to diverse data sources, cleaning and transforming data using Power Query, and building efficient, scalable data models following industry best practices like the star schema.

The course will then take a deep dive into Data Analysis Expressions (DAX), empowering you to create calculated columns, dynamic measures, and complex expressions that deliver powerful, context-aware insights. You'll also learn how to apply time intelligence functions, manage filter context, and troubleshoot calculation errors.

Finally, you’ll learn how to design visually compelling, interactive reports and dashboards that communicate insights effectively. From charts and slicers to drill-through pages and KPI indicators, you'll master the visual storytelling techniques that drive smarter business decisions.What You Will Learn:

  • The role of Business Intelligence and Power BI in modern analytics

  • Navigating and using Power BI Desktop, Service, and Mobile applications

  • Importing and connecting to data from Excel, SQL Server, web, and cloud-based sources

  • Data transformation and cleansing with Power Query Editor

  • Building efficient data models and managing relationships between tables

  • Writing effective DAX formulas for advanced calculations and insights

  • Creating interactive dashboards with visuals such as charts, cards, slicers, maps, and tables

  • Publishing reports to the Power BI Service and setting up scheduled data refresh

  • Sharing dashboards with stakeholders and collaborating through Power BI workspaces

  • Applying best practices for performance optimization and data governance

    Who Should Enroll:

    • Business analysts, data analysts, and professionals involved in reporting

    • Finance, marketing, operations, and HR professionals seeking to make data-driven decisions

    • Beginners in data analytics aiming to build foundational and advanced Power BI skills

    • Students and recent graduates looking to enter the field of business intelligenceTools & Technologies Covered:

      • Power BI Desktop

      • Power BI Service

      • Power Query Editor

      • DAX (Data Analysis Expressions)

      • Excel, SQL Server, Web APIs, and Cloud data connectors.

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What's inside

Learning objectives

  • Understand the fundamentals of business intelligence (bi) and articulate the structure and components of the power bi ecosystem, including power bi desktop,
  • Connect to and integrate data from various sources, including excel, sql server, and cloud-based platforms, using power bi’s data connectivity features.
  • Prepare data for analysis by cleaning, transforming, and shaping raw datasets using the power query editor.
  • Design robust data models utilizing best practices such as the star schema, and establish effective relationships between multiple datasets to support accurate
  • Apply dax (data analysis expressions) to build calculated columns, measures, and sophisticated expressions that enable dynamic and insightful analytics.
  • Create compelling, interactive dashboards and reports using power bi’s rich suite of visualizations, including charts, maps, tables, slicers, for decisions.

Syllabus

Introduction
Overview of Dashboards
Explain how to download and install the data
Downloading and installation of Power BI
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Learners who complete Become a Power BI Expert: Data Analysis, DAX, and Dashboards will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.
Provides a collection of data analysis recipes that demonstrate how to use Power BI to solve real-world data analysis problems. It valuable resource for users who want to learn how to use Power BI to analyze data effectively.
Is widely considered the essential reference for understanding DAX, the formula language of Power BI. It provides a comprehensive deep dive into DAX concepts, evaluation contexts, and optimization techniques. While challenging, it's invaluable for anyone seeking to truly master Power BI's analytical capabilities and is often recommended for intermediate to advanced users and professionals.
Provides a hands-on guide to using Power BI for data science tasks. It covers topics such as data preparation, data modeling, machine learning, and data visualization. It valuable resource for data scientists who want to use Power BI to enhance their data science workflows.
Another strong resource for learning Power Query, this book by a well-known Power BI expert covers data transformation techniques in detail. It's suitable for users who want a thorough understanding of Power Query's capabilities.
Focuses specifically on Power Query (M), the data transformation engine in Power BI. It's an excellent resource for users who need to connect to, clean, and shape data efficiently before analysis. It covers the M language in detail with practical examples, making it highly relevant for data preparation tasks.
Written by the same authors as 'The Definitive Guide to DAX', this book provides a strong foundation in data modeling and analysis using Power BI and Power Pivot. It's a great bridge for those transitioning from Excel and offers clear explanations of key concepts with practical examples.
Offers a beginner-friendly introduction to Power BI, covering the basics of connecting to data, building models, creating visualizations, and sharing reports. It's a good starting point for those with little to no prior experience in business intelligence or Power BI.
Aimed at intermediate to advanced users, this book delves into expert techniques for creating impactful Power BI solutions. It covers various aspects of Power BI, including data modeling, visualization, and deployment, making it a valuable resource for professionals seeking to enhance their skills.
Provides a step-by-step approach for beginners to learn Power BI, covering essential topics from connecting to data sources to building interactive reports. It includes practical examples and exercises to help solidify understanding and is suitable for those just starting out.
Serves as a practical cookbook for solving common business problems using DAX. It provides a collection of reusable DAX patterns, making it an excellent companion to 'The Definitive Guide to DAX' for applying DAX in real-world scenarios.
Focuses on the practical application of Power Query for data collection, combination, and transformation in both Excel and Power BI. It's a valuable resource for anyone who spends significant time preparing data for analysis.
This guide provides a quick introduction to Power BI for beginners, covering essential topics like data modeling, visualization, and storytelling with data. It's a good resource for getting up to speed quickly with the core functionalities of Power BI.
Specifically aimed at Excel users transitioning to Power BI, this book leverages existing Excel knowledge to introduce Power Pivot, Power Query, and DAX. It's a helpful resource for those with a strong Excel background looking to expand their capabilities.
An earlier but still relevant guide to the M language in Power Query, this book provides a solid understanding of the data transformation capabilities within Power BI and Excel. It's particularly useful for those who want to delve deeper into custom transformations.
The second edition of this book provides updated coverage on expert data modeling techniques in Power BI. It's a key resource for users looking to build optimized data models for complex reporting and business needs.
Focuses on teaching DAX in a practical and accessible way, particularly for those with an Excel background. It emphasizes the importance of DAX for unlocking the full potential of Power BI.
Serves as a practical guide for beginners to get started with self-service data analytics using Power BI Desktop and Excel. It covers the fundamental steps involved in the BI process using these tools.
Focuses on the essential skill of data modeling within Power BI, covering concepts relevant to Power BI, Analysis Services tabular, and SQL databases. It's a valuable resource for understanding how to structure data for effective analysis.
A concise introduction to Power BI from leading experts, this book provides an overview of the platform and its capabilities. It's a good starting point for understanding the Power BI ecosystem before diving into more technical details.

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