End-to-End Data Analysis Project 2024 | SQL & Power BI | Beginner Friendly

Introduction

In this tutorial, you will learn how to conduct an end-to-end data analysis project using SQL and Power BI. Aimed at beginners, this guide will walk you through the entire process, from building a database to making analysis recommendations. You'll gain practical skills while helping Toman Bike Share evaluate the feasibility of increasing prices next year.

Step 1: Understand the Data Analysis Request

• Review the analysis request email from Toman Bike Share.
• Identify key questions to address:
  • Is increasing prices feasible?
  • What impact might it have on the business?
• Prepare to gather and analyze relevant data to inform your recommendations.

Step 2: Download and Install SQL Server

• Go to the Microsoft SQL Server download page.
• Choose the appropriate version for your operating system.
• Follow these installation steps:
  • Download SQL Server and SQL Server Management Studio (SSMS).
  • Install SQL Server first, then SSMS.
  • Follow the on-screen prompts to complete the installation.

Step 3: Set Up Your Database and Tables

• Open SQL Server Management Studio.
• Create a new database:

  CREATE DATABASE BikeShareDB;
  

• Use the following SQL commands to create necessary tables (e.g., for bike rentals, pricing, and customer data):

  CREATE TABLE Rentals (
      RentalID INT PRIMARY KEY,
      BikeID INT,
      CustomerID INT,
      RentalDate DATETIME,
      ReturnDate DATETIME,
      Price DECIMAL(10, 2)
  );
  
  CREATE TABLE Bikes (
      BikeID INT PRIMARY KEY,
      Model VARCHAR(100),
      Condition VARCHAR(50)
  );
  
  CREATE TABLE Customers (
      CustomerID INT PRIMARY KEY,
      Name VARCHAR(100),
      Email VARCHAR(100)
  );
  

• Ensure all tables are properly structured to hold relevant data.

Step 4: Develop Your SQL Queries

• Write SQL queries to extract insights from your data.
• Example query to analyze rental trends:

  SELECT RentalDate, COUNT(RentalID) AS TotalRentals
  FROM Rentals
  GROUP BY RentalDate
  ORDER BY RentalDate;
  

• Test and refine your queries to ensure accuracy.

Step 5: Connect Power BI to Your Database

• Open Power BI Desktop.
• Go to the "Home" tab and select "Get Data."
• Choose "SQL Server" as your data source.
• Enter your server name and database name (BikeShareDB).
• Select the tables you created and load the data into Power BI.

Step 6: Build the Dashboard

• In Power BI, use the loaded data to create visualizations:
  • Bar charts for rental trends.
  • Line graphs for pricing analysis.
  • Pie charts for customer demographics.
• Arrange visualizations on the dashboard for clarity and impact.

Step 7: Answer the Analysis Question

• Analyze the data presented in your dashboard.
• Evaluate the potential impact of a price increase based on rental trends and customer data.
• Summarize your findings in a clear format.

Step 8: Make Recommendations on Price Increase

• Prepare a short report or presentation based on your analysis.
• Include insights such as:
  • Expected revenue changes.
  • Customer retention implications.
  • Strategic recommendations for implementing price changes.

Conclusion

You have now completed an end-to-end data analysis project using SQL and Power BI. By following these steps, you learned how to set up a database, query data, create a dashboard, and make informed recommendations. Next, consider applying these skills to real-world scenarios or exploring more advanced data analysis techniques.