I see people making this analytical error all the time on this site: asking what they should pay for an asset "in this market," as if the only thing that matters is buying an asset, regardless of where we are in the cycle or whether they will make money at that price.Real estate does NOT always appreciate, not even in New York.  

The goal is to use the information in the classroom and work on building useful analytics from sources with different formats and levels of detail.

I compute valuation metrics for various states/counties in my data analytics LLC, as well as for multifamily investment out of state.As of Q1 2020 data it looks as follows: while Washington state is among just 8 overvalued states nationwide (>10% overvalued based on deviation from historical price-income relationship), King County (Seattle-containing) was the least overvalued at ~2% valuation. 

I amazed at your analytical skill.

Zillow analytics shows that my property is being viewed atleast 2x times more on their site but I don't think I can interpret that in any ways as I am not getting any applications - Although there are tons of inquires with low credit. 

For someone who is coming from corporate finance, I'm sure data analytics is important to you.

If you are performing ongoing research every time you find a potential deal, you should definitely consider a CRE data and analytics tool.

"Though prices in several markets are nearing pre-bust levels, the composition of both the supply and demand of today’s real estate market is starkly different than a decade ago," Alex Villacorta, VP at Clear Capital Analytics, says.

I have an engineering background and analytical skills but after being in this market for about 2 years, I have realized that relying on specific numbers doesnt always make sense - I will give you an example from a very recent transaction.1) I follow a buy and hold strategy and was scouring through FSBO site and came across a duplex for sale for $69k.

Air Bnb software makes it easy to export data for accounting and run analytics on nightly rate, occupancy, etc.