Practical application of course topics through a project - AnalysisWithSadiul

Applying the topics from a Power BI course practically through a project enhances the learning process for students by making it more real and effective. Below is a framework for how the various topics from the course can be applied practically through a project:

Practical application of course topics through a project

 Project: Creating a Sales Analysis Dashboard

 

 1. Initial Project Planning

 

- Project Objective: To create a sales analysis dashboard that will show sales performance, regional sales, and customer analysis.

- Data Source: Use a database or Excel file containing sales, product, customer, and regional data.

 

 2. Data Collection and Preparation

 

1. Data Source Preparation:

   - Gather data sources (e.g., Excel files, SQL database).

   - Ensure the necessary data such as sales, product, customer, and region details are available.

 

2. Data Transformation using Power Query Editor:

   - Import Data: Import data into Power BI Desktop.

   - Clean Data: Remove unnecessary columns, duplicate records, and incorrect data.

   - Transform Data: Customize the data format, such as adjusting date formats, case conversion, etc.

 

 3. Data Modeling

 

1. Create Data Model:

   - Tables: Create various tables like Sales, Products, Customers, and Regions.

   - Relationships: Build relationships between tables, such as linking the Sales table to Products and Customers tables.

 

2. Create Calculated Columns and Measures:

   - Measures: Create measures for Total Sales, Average Sales, and Year-to-Date Sales.

   - Calculated Columns: Create new columns based on Sales Amount and Quantity.

 

 4. Creating Visualizations

 

1. Create Basic Visuals:

   - Bar Chart: Create a bar chart to show sales performance.

   - Pie Chart: Use a pie chart to analyze sales percentages.

   - Line Chart: Create a line chart to show sales trends over time.

 

2. Use Custom Visuals:

   - Map Visualization: Use map visuals for region-based sales analysis.

   - Decomposition Tree: Use the Decomposition Tree for drilling down into sales analysis and customer details.

 

 5. Adding Interactive Elements

 

1. Add Slicers and Dropdowns:

   - Slicers: Use slicers to select time frames, product categories, and regions.

   - Dropdowns: Provide dropdowns to select specific values.

 

2. Interactive Filters:

   - Cross-Filtering: Configure cross-filtering to allow one visual to filter another visual.

 

 6. Creating Reports and Dashboards

 

1. Report Page Design:

   - Layout: Properly design and arrange the visuals and customize the layout.

   - Interactivity: Ensure interactivity between the visuals.

 

2. Create Dashboard:

   - Pin Visuals: Pin important visuals from the report to the dashboard.

   - Tile Customization: Customize the tiles and extend their visual features on the dashboard.

 

 7. Applying Data Analysis Functions

 

1. Time Intelligence Functions:

   - YTD Sales: Use `TOTALYTD` to calculate Year-to-Date sales.

   - QTD Sales: Use `TOTALQTD` to calculate Quarter-to-Date sales.

 

2. Comparison Metrics:

   - Sales Growth: Use custom measures to determine the rate of sales growth.

 

 8. Report Sharing and Collaboration

 

1. Publish Report to Power BI Service:

   - Publish: Publish the report to Power BI Service.

 

2. Dashboard Sharing:

   - Share: Share the report and dashboard with team members.

 

3. Collaboration:

   - Comments: Add comments to the report and collect feedback.

 

 9. Project Review and Feedback

 

1. Project Review:

   - Review: Review the different parts of the project and make necessary changes.

 

2. Collect Feedback:

   - Collect Feedback: Gather feedback from users and update the report if needed.

 

Through this project, students will be able to practically learn various aspects of Power BI, such as data transformation, modeling, visualization, and sharing processes, and improve their real-world data analysis skills.