DataCamp

Case Study: Mortgage Trading Analysis in Power BI

Business and Economics

Short Description

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

Long Description

Immerse Yourself in the Financial System with Power BI Embark on a captivating Power BI case study that delves into the intricacies of the financial system. Assume the role of a newly appointed junior trader on a mortgage originator's trading desk, and brace yourself for a fast-paced and stimulating experience. Experience the Thrills of a Junior Trader As money flows through our economy, it passes through your desk, connecting major investment banks, your lending firm, and individual borrowers. You hold the key to making this intricate process a reality. Harness the Power of Power BI for Valuable Insights Leverage your Power BI skills to identify a targeted group of mortgages for trading. Evaluate each mortgage and meticulously assess every bid received from potential buyers. Finally, execute trades with precision. Throughout this case study, you will refine your data modeling, DAX, and financial analysis abilities, gaining a unique perspective on the banking industry. Join us on this immersive journey into the financial system, where Power BI becomes your trusted companion in unraveling its complexities.

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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.