The case study presents an opportunity for students to learn the data science tasks and principles.

RealDirect is a next$-$generation real estate technology company and brokerage that uses the

power of the web to help people buy and sell real estate better. Founded in $2010$ by Doug

Perlson, a real estate lawyer and online technology industry veteran, RealDirect features services

for both sellers and buyers of New York City real estate. RealDirect for Sellers is the first webbased, data$-$driven marketing platform for homeowners to maximize their net proceeds in the sale

of their home. Whether buyers want to work with an agent or on their own, RealDirect for

Buyers helps clients accurately assess their living needs and recommends the right properties

based on this analysis. RealDirect is located in the Flatiron neighborhood of Manhattan.

Suppose that you are employed as a data scientist consultant for RealDirect company. Describe

how data science tasks or techniques can help the company by giving specific examples of how

techniques, such as clustering, classification, association rule mining, and anomaly detection can

be applied.

There should be headings to organize the paper content. Ensure there are at least two$-$peer

reviewed sources to support your work. The paper should be APA format and at least two pages of

content $($this does not include the cover page or reference page$).$