Modeling Data in Power BI
- Guided Project
- 0.6 hours
- Beginner
- Power BI
Practice data cleaning, modeling and analysis in Power BI to extract insights from sales data and inform decision-making.
Overview
In this project, you'll assume the role of an analyst at a company that sells scale model cars. Your task is to model and analyze data from their sales records database using Power BI in order to extract insights that inform business decision-making. You'll apply data cleaning, transformation, and modeling techniques to prepare the data for analysis.
This project provides hands-on practice working with real-world sales data. You'll develop practical skills in data modeling and analysis using Power BI. Completing this project will enhance your portfolio, demonstrating your ability to extract meaningful insights from raw data to drive business decisions.
Objective: Analyze scale model car sales records data to extract insights that inform business decision-making.
What You'll Learn
- ✓ Apply data cleaning and transformation in real-world situations
- ✓ Apply modeling data to real-world situations
Before You Start
- ✓ Designing a basic data model in Power BI
- ✓ Configuring table and column properties in Power BI
- ✓ Creating calculated columns and measures using DAX in Power BI
- ✓ Reviewing the performance of measures, relationships, and visuals in Power BI
Project Steps
9 steps
- 1 Introduction to the Project
- 2 Load and Explore the Semantic Model
- 3 Clean the Semantic Model
- 4 Transform the Semantic Model
- 5 Total Sales For the Company
- 6 Compute the Total Sales by Year with Category
- 7 Top Three Sales on Average
- 8 Compute the Net Profit for 2016 by Segment
- 9 Next Steps
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