Real world Data Analysis using Healthcare Data

I want to share the details of my personal data analysis project, where I delved into real-world healthcare sample data provided by Curtis Norman. The project took me through the process of transforming raw data into meaningful insights, and I’m excited to walk you through the steps of my exploration.

The Data:

The sample dataset is provided in the format of an Excel worksheet. The data, a snapshot of real-world healthcare information, was the starting point for my analytical journey. Understanding the nuances of healthcare data is a challenge, but it’s also an opportunity to make a meaningful impact.

Creating the Database:

To unlock the full potential of the data, I decided to use Microsoft SQL Server. I began by creating a relational database, a structured foundation that would facilitate seamless data management and analysis. The process involved defining tables, establishing relationships, and ensuring data integrity, laying the groundwork for an analytical framework.

Importing Data and Building the Data Model:

The next step was to import the healthcare data from the Excel worksheet into the SQL Server database. This process is crucial for transforming raw data into a format conducive to analysis. Once the data was securely housed in the database, I set about constructing a comprehensive data model. This involved organizing and structuring the data in a way that would enable efficient querying and analysis.

Writing Multiple Views:

To enhance the flexibility of my analysis, I crafted multiple views within the SQL Server database. Views act as virtual tables, presenting data in a way that aligns with specific analytical needs. This step allowed me to tailor my approach, ensuring that I could explore different facets of the healthcare data with ease.

Connecting SQL Server Database to Power BI:

The true magic happened when I connected the SQL Server database to Power BI, a dynamic business analytics tool. This integration opened up a world of possibilities, enabling me to visually represent the data and create insightful reports. Power BI’s user-friendly interface and powerful features allowed me to translate complex data into meaningful visuals.

Building Multiple Page Reports:

With the SQL Server database seamlessly integrated into Power BI, I set about constructing a multi-page report. Each page focused on a specific aspect of the healthcare data, providing a holistic view of the information. From demographic trends to Payer Analysis, the report became a narrative, weaving together the story hidden within the numbers.

How can you showcase your SQL skills as a business intelligence analyst?

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SQL (Structured Query Language) is the language of data, and it is the primary tool used in the business intelligence industry for working with data. If you want to succeed as a business intelligence analyst, you need to demonstrate your SQL skills.

Here are some ways to showcase your SQL skills:

Build a portfolio

Create a portfolio of projects that demonstrate your SQL skills. This could include data cleaning, data modeling, and data analysis projects. Make sure to explain your process and the insights you gained from each project.

Participate in SQL challenges

Participating in SQL challenges or competitions is another way to showcase your SQL skills. There are many online SQL challenges available, and participating in them can help you compare your skills with other analysts. This way you can demonstrate your proficiency in working with data and providing valuable insights.

Use Github

Upload your SQL projects to Github, which is a widely recognized platform for showcasing coding skills. This will allow potential employers or clients to view your code and see how you have structured your queries.

Participate in online communities

Participating in online communities such as Stack Overflow and GitHub can help you showcase your SQL skills by answering questions related to SQL and posting your own solutions to problems.

Take online courses and earn certifications

Taking online courses and earning certifications in SQL can demonstrate your dedication to improving your skills and staying current with the latest trends in the field.

Use data visualization tools

Use SQL to extract insights and then present them using data visualization tools such as Tableau, PowerBI, or Excel. This will demonstrate your ability to not only extract insights from data but also present them in a visually appealing and meaningful way.

By using these methods, you can differentiate yourself from other analysts and advance your career in the business intelligence field.