DataCamp

Case Study: Analyzing Healthcare Data in Power BI

Health and Wellness

Short Description

Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

Long Description

In the healthcare industry, the ability to improve efficiency while maintaining high-quality patient care is of utmost importance. This case study focuses on utilizing Power BI, a powerful data analysis tool, to analyze healthcare data and uncover insights related to hospital efficiency for a fictional consulting company called HealthStat. By leveraging your expertise in DAX (Data Analysis Expressions), you will delve into various attributes that impact patient length of stay (LOS) and cost. Through this analysis, you will identify factors that contribute to differences in hospital performance. Your proficiency in DAX will enable you to create measures and generate visualizations that provide valuable insights. To effectively communicate these insights to the HealthStat team, you will bring together all the findings in a sophisticated business dashboard. This dashboard will serve as a comprehensive tool for presenting the analyzed data and conveying the identified trends and patterns. This case study offers an opportunity to apply and enhance your Power BI skills by working with real-world healthcare data.

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Course Details

Duration
3 hours
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.