What
You’ll Learn
You’ll Learn
- Prepare the Data (15–20%) Get data from different data sources Clean
- transform
- and load data Profile the data
- Model the Data (30–35%) Design and build data models Enhance the data model for performance and usability Create calculations with DAX
- Visualize and Analyze the Data (25–30%) Create reports and dashboards Enhance reports for usability and storytelling Perform advanced analytics
- Deploy and Maintain Assets (20–25%) Manage files and datasets in Power BI workspace Configure dataset refreshes
- settings
- and permissions Publish and share
Requirements
- Experience with Power BI: Practical experience using Power BI for data preparation
- visualization
- modeling
- and analysis.
- Knowledge of Data Concepts: Familiarity with fundamental data concepts
- such as relational data
- data modeling
- and basic data visualization principles.
- Basic Understanding of Microsoft Excel (optional but helpful): Knowing Excel basics can make it easier to grasp some Power BI functionalities like data manipulation and visualization.
Description
In today’s data-driven world, the ability to analyze and interpret data is more valuable than ever. Power BI, Microsoft’s powerful business intelligence tool, empowers organizations and professionals to transform raw data into actionable insights. This comprehensive course is designed for beginners and intermediate users alike, guiding you through every step of Power BI, from data integration and modeling to building insightful dashboards and sharing findings with stakeholders. By the end of this course, you’ll be equipped to make data-informed decisions that drive organizational success.
Module 1: Getting Started with Power BI
We begin with an introduction to Power BI’s user interface and essential functionalities. You’ll learn how to navigate Power BI Desktop, the primary application used to create and develop your projects. The course walks you through the process of connecting to different data sources—such as Excel, SQL Server, and cloud-based databases—giving you flexibility with various data formats. By the end of this module, you’ll be familiar with how Power BI fits into a data analysis workflow and how to set up your workspace for efficient data exploration.
Module 2: Data Preparation and Transformation
Data in its raw form often needs significant cleaning before it’s ready for analysis. This module focuses on Power Query, Power BI’s powerful data transformation engine. You’ll learn essential skills for preparing data, including handling missing values, dealing with inconsistent formats, and merging multiple data sources into a single, coherent dataset. Additionally, we’ll cover advanced Power Query techniques, such as creating custom columns and filters, grouping data, and applying advanced transformations to make your data both consistent and analysis-ready.
Module 3: Data Modeling and DAX (Data Analysis Expressions)
Data modeling is a critical step in any analytics project, as it allows you to organize and structure data for efficient analysis. This module introduces you to Power BI’s data modeling tools and the basics of creating relationships between tables. You’ll learn the fundamentals of dimensional modeling, including star and snowflake schemas, which are commonly used for organizing data in business intelligence systems.
A key feature of Power BI is DAX (Data Analysis Expressions), a powerful formula language that enables you to create custom calculations, aggregations, and complex measures. In this module, we introduce you to DAX basics and walk you through practical exercises to help you create calculated columns, measures, and time-based calculations. By the end of this module, you’ll have a solid foundation in data modeling and will be able to design models that improve report performance and provide more insightful results.
Module 4: Data Visualization and Report Building
Once your data is prepared and modeled, it’s time to bring it to life through visualizations. This module dives into the art and science of data visualization, covering best practices for presenting data effectively. You’ll learn how to create and customize a wide range of visuals, including bar charts, line charts, maps, and matrices. We’ll also cover advanced visualization techniques, such as using custom visuals from the Power BI marketplace and designing dynamic visual interactions.
A key part of Power BI’s appeal is its interactivity, and this module demonstrates how to make your reports interactive and user-friendly by setting up slicers, filters, drill-through capabilities, and buttons. You’ll learn how to design report pages with multiple visuals that update dynamically based on user input, enabling end-users to explore data independently. By the end of this module, you’ll be able to create compelling reports that tell a story and provide a clear path from data to insight.
Module 5: Dashboarding and Data Storytelling
Dashboards provide a high-level view of essential metrics and KPIs (Key Performance Indicators) for quick, actionable insights. In this module, we focus on creating Power BI dashboards that convey key information at a glance. You’ll learn how to pin visuals from multiple reports to a single dashboard, organize and arrange visuals effectively, and design dashboards that highlight critical insights.
We also explore data storytelling techniques that help you present data in a way that resonates with your audience. You’ll learn how to structure your reports and dashboards to guide users through a narrative, making it easier for them to understand the data and act on insights. By the end of this module, you’ll be able to create dashboards that are not only visually appealing but also highly effective in communicating data stories.
Module 6: Data Security and Sharing
Ensuring data security and managing access are essential considerations when working with sensitive information. In this module, we discuss Power BI’s robust security features, including row-level security (RLS), which restricts access to specific data within reports. You’ll learn how to set up and manage permissions to control who can view, edit, and share your Power BI assets.
Once your reports and dashboards are ready, it’s time to share them with your team. We cover the various ways to publish and share Power BI content, including publishing to Power BI Service, sharing via Power BI apps, and embedding reports in other applications. We’ll also discuss options for exporting reports to PDF or PowerPoint for offline distribution.
Module 7: Power BI Service and Power BI Mobile
Power BI isn’t limited to the desktop application. In this module, we introduce you to the Power BI Service, Microsoft’s cloud-based platform for sharing and managing Power BI content. You’ll learn how to upload your reports to Power BI Service, set up scheduled data refreshes, and use the web-based interface to create simple reports and dashboards directly in the cloud.
Power BI Mobile allows you to access and interact with your reports on the go. We’ll guide you through setting up the mobile app, customizing reports for mobile view, and configuring notifications for real-time updates on critical metrics.
Module 8: Advanced Features and Customization
For users who want to go beyond standard Power BI functionalities, this module covers advanced features and customization options. You’ll learn how to create custom visuals, use Power BI’s AI-driven visualizations, and incorporate external data sources through APIs. We’ll also explore integration with other Microsoft tools, such as Excel, Azure, and SharePoint, to create a connected analytics environment.
Why Take This Course?
This course is designed to equip you with the skills you need to become proficient in Power BI and succeed as a data analyst or business intelligence professional. By the end of the course, you’ll be able to:
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Connect and transform data from various sources.
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Design and build optimized data models for performance and usability.
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Create engaging, interactive dashboards and reports.
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Share insights securely with team members and stakeholders.
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Use Power BI Service and Power BI Mobile to manage and access reports anytime, anywhere.
This course is ideal for:
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Data Analysts and Business Analysts: who want to use Power BI to analyze and visualize data.
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IT and BI Professionals: looking to implement and manage Power BI solutions within their organizations.
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Excel Users: seeking to expand their analytical skills with a more powerful BI tool.
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Decision Makers: interested in creating data-driven insights to support business strategies.
With Power BI skills in high demand, this course is a valuable step toward advancing your career in data analytics and business intelligence. Join us and transform your data into powerful insights with Power BI!
Who this course is for:
- Data analysts
- business analysts
- and report developers
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Infos:
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