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Master the Basics & Build Confidence with Practical Projects, A Complete Guide for Beginners and Up-and-Coming Analysts

What you will learn

Master Power BI Fundamentals – Learn how to install Power BI, connect to various data sources (Excel, CSV, SharePoint), and efficiently import data for analysis

Transform and Clean Data – Understand data types, column quality, and best practices for data cleaning. Create custom and conditional columns to prepare data fo

Build Data Models and Use DAX – Develop a solid understanding of data modeling, relationships, and DAX formulas for calculations, including SUM, IF, CALCULATE,

Create Interactive Visualizations – Design professional reports using visual elements like cards, bar charts, line charts, pie charts, slicers, and matrix forma

Publish and Share Reports – Learn how to publish reports on the Power BI Service, create workspaces, add members, and explore different sharing options.

Bonus Reports: End-to-End Creation – Finance Dashboard & Sales Report

Data Collection & Preparation: Get hands-on with financial datasets and learn how to prepare them for analysis.

Data Modeling: Build the underlying data model, integrating multiple tables and calculating key financial metrics like profit margins and revenue growth.

Creating the Dashboard: Learn to design a dynamic dashboard with charts, tables, and KPIs that tell a compelling financial story.

Real-World Reporting: Build and format a polished report ready for stakeholders, showcasing key financial insights.

Building KPIs and Metrics: Use DAX to create powerful KPIs that track performance, like sales growth, top-performing products, and regional sales comparisons.

Interactive Sales Dashboards: Build a sales report with filters, slicers, and interactive visuals to provide detailed insights.

Add-On Information:


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  • Uncover the **power of data storytelling** by transforming raw information into actionable insights that drive business decisions.
  • Develop a **critical eye for data quality**, learning to identify and rectify common inconsistencies to ensure reliable analysis.
  • Acquire the skills to **navigate the Power BI ecosystem**, from desktop application to cloud-based sharing, enabling widespread access to your findings.
  • Go beyond basic charts to design **insightful dashboards** that effectively communicate complex trends and patterns.
  • Learn best practices for **optimizing report performance** to ensure a smooth user experience, even with large datasets.
  • Gain confidence in **interpreting and validating data**, building a foundation for accurate and impactful reporting.
  • Understand how to **create a structured workflow** for data analysis, from initial connection to final report distribution.
  • Explore techniques for **enhancing report interactivity**, allowing users to drill down into data and uncover specific details.
  • Master the art of **visual hierarchy and design principles** to create reports that are both aesthetically pleasing and highly functional.
  • Build the **confidence to tackle real-world data challenges** and present findings effectively to diverse audiences.
  • Understand the **lifecycle of a Power BI report**, from initial conception to ongoing maintenance and refinement.
  • Learn to **leverage Power BI’s advanced features** through practical application in the bonus projects.
  • Develop an **analytical mindset** that can be applied across various industries and business functions.
  • Gain practical experience in **scenario planning** through the creation of sales and financial performance dashboards.
  • Discover how to **translate business questions into data-driven answers** using the tools learned in the course.
  • PROS:
  • Provides a **structured learning path** from foundational concepts to practical application.
  • Emphasis on **hands-on projects** solidifies understanding and builds a portfolio of work.
  • Covers both technical skills and **analytical thinking**, essential for effective data professionals.
  • CONS:
  • May require additional self-study for highly specialized or complex data scenarios beyond the scope of the intermediate level.
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