Case Study: Mortgage Trading Analysis in Power BI
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.
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Course Description
Explore the Financial System with Power BI
In this Power BI case study, you will play the part of a newly hired junior trader on a trading desk for a mortgage originator. Enjoy this fast-paced and challenging case study as you learn the ins and outs of the financial system.Play the Role of a Junior Trader
The flow of money through our economy happens on your desk as it trickles down from big investment banks to your lending firm to individual borrowers – and you’re the one making it happen.Use Your Power BI Skills to Gain Insights
You will identify a population of mortgages to trade, evaluate each mortgage and each bid received from prospective buyers, and finally execute a trade. By the end of this case study, you will have sharpened your data modeling, DAX, and financial analysis skills, and you will have experienced a unique perspective on the banking industry.Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Financial Reporting in Power BI
Go To Track- 1
Mortgage data
FreeIn this chapter, you will focus on getting our data ready for trading. You’ll clean up mortgage data, create loan statuses, and amortize loan balances.
- 2
Trade on
Bids are in on the loans, so now it's time for you to analyze the bids and determine the winners.
- 3
Trade Profit Analysis
Now that you've struck our trades, it's time to analyze the outcomes and Sooper Mortgage's business strategy.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Financial Reporting in Power BI
Go To Trackcollaborators
Nick EdwardsAnalyst at Roofstock
Nick Edwards is an Analyst at Roofstock, a PropTech startup, where he uses data and BI tools to unlock the full strength of financial analysis. With over seven years of experience in finance, he realized honing data science skills would greatly benefit his career and believes it will for you, too!
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