Master Data Visualization & Business Analysis with Power BI
What you will learn:
- Power BI Introduction
- Data Import (CSV, Excel)
- Data Cleaning & Transformation (Power Query)
- Data Modeling
- Chart Creation (Line, Column, Bar, Pie, Donut, Funnel, Card)
- Slicer & Filter Implementation
- Table Creation & Formatting
- Report Design & Layout
- Data Visualization Best Practices
- Report Export (PDF)
- Map Visualizations
- Web Data Analysis & Integration
Description
Transform your data into actionable insights!
This comprehensive course empowers you to master Microsoft Power BI, turning raw data into visually compelling reports that drive effective business decisions. Based on overwhelmingly positive student feedback, this course provides a practical, step-by-step approach to data analysis and visualization.
What makes this course unique?
- Real-world projects: Learn by doing with four diverse projects, each using unique datasets and showcasing practical Power BI applications in various industries (food sales, employee performance, multi-branch retail, and web analytics).
- Expert instruction: Benefit from the expertise of a seasoned professional in Tally, Finance, Microsoft Office, and Power BI, ensuring you gain a deep understanding of best practices.
- Rapid learning: Our meticulously structured curriculum allows for efficient learning, enabling you to achieve proficiency in a shorter time.
- Skill-based learning: Master essential techniques like data cleaning, transformation, modelling, and the creation of dynamic visuals including line charts, bar charts, pie charts, and interactive dashboards.
- Certification included: Receive a verifiable certificate upon completion, showcasing your newfound Power BI expertise.
Topics covered include: Business intelligence, data analysis, visual reporting, dashboard design, data-driven decision making, Power BI Desktop, Power Query, DAX (implied), data modeling, and best practices for creating impactful reports.
Ideal for: Business analysts, aspiring data analysts, entrepreneurs, managers, and anyone seeking to enhance their data analysis and visualization skills. No prior Power BI experience is needed!
Enroll now and unlock the power of data!
Curriculum
Chapter-01: Power BI and Power Query Fundamentals
This introductory chapter lays the groundwork for your Power BI journey. You'll begin with an overview of Power BI's capabilities and then dive into Power Query, learning how to import, clean, and transform data effectively. The lectures cover the essential basics of both Power BI and Power Query, setting the stage for the practical projects to follow. Expect a solid foundation in data preparation and handling before moving onto more advanced techniques.
Chapter-02: Setting up Your Power BI Environment
This concise chapter guides you through the seamless download and installation of Power BI Desktop, ensuring you have the necessary software ready to embark on your data analysis adventure. Once completed, you'll be set up and ready to begin creating reports.
Chapter-03: The Power BI Report Creation Process
This chapter provides a structured five-step approach to creating Power BI reports. This process forms the foundation for all subsequent projects, providing a step-by-step method for creating efficient and effective reports within the Power BI environment.
Chapter-04: Mastering Power Query in Excel and Power BI
This chapter deepens your understanding of Power Query, showcasing its capabilities within both Excel and Power BI. You'll learn advanced techniques for data manipulation and preparation, essential for building high-quality reports. The practical applications provided will enable a better understanding of how to clean and prepare data.
Chapter-05: Project 01 - Mubeen Food Corner Sales Analysis: Introduction
This chapter introduces the first of four real-world projects, focusing on the sales analysis for Mubeen Food Corner in 2022. You'll learn about the project requirements and set the stage for the detailed steps to follow in the subsequent chapter.
Chapter-06: Project 01 - Mubeen Food Corner Sales Analysis: Implementation
This chapter provides a comprehensive, step-by-step walkthrough of creating the Mubeen Food Corner Sales Analysis report. You'll learn to handle blank cells, data conversions, data modeling, and create various chart types (line, funnel, card, pie, donut, clustered column, clustered bar) along with the effective use of slicers. The process culminates in saving, refining, and exporting the final report as a PDF file, demonstrating best practice and essential report creation skills.
Chapter-07: Project 02 - Mubeen Food Corner Employee Data Analysis: Introduction
This chapter introduces the second project, focusing on employee data analysis for Mubeen Food Corner. You'll gain an understanding of the data and the goals of the analysis, preparing you for the implementation steps in the following chapter.
Chapter-08: Project 02 - Mubeen Food Corner Employee Data Analysis: Implementation
This chapter guides you through creating a comprehensive employee data analysis report. Similar to Project 1, you'll follow a step-by-step approach, learning to create various chart types (line, clustered column, pie, clustered bar, donut, cards, tables, maps), use slicers for interactive analysis, and export the final report. This project expands your skillset by incorporating map visualizations, adding a geographic dimension to your analyses.
Chapter-09: Project 03 - Nama Cool Fruit Sales Analysis: Introduction
This chapter introduces the third project, involving the sales analysis of Nama Cool Fruit Corner across multiple branches and years. You'll become familiar with the datasets and project requirements.
Chapter-10: Project 03 - Nama Cool Fruit Sales Analysis: Implementation
This chapter provides a detailed implementation of the Nama Cool Fruit Sales Analysis report. You will learn to analyze multi-year sales data, create reports for individual branches and all branches combined, and use maps to visualize sales performance across different geographic locations. The process also includes data cleaning, modeling, chart creation (clustered column, clustered bar, funnel, cards), and report export.
Chapter-11: Project 04 - Web Analytics Report: Implementation
The final project involves the analysis of website data. This chapter demonstrates how to connect to and analyze web-based data within Power BI, providing valuable skills for anyone working with online analytics. You'll learn the process of importing, cleaning, and visualizing website data. This final section also provides an understanding of handling more diverse datasets.
Bonus Section
This section provides additional insights and information to complement your learning experience.
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