the team found about 15,000 excess deaths from March 1 to April 4

Using data from the Centers for Disease Control and Prevention, the team found about 15,000 excess deaths from March 1 to April 4. During the same time, states reported 8,000 deaths from Covid-19. "That is close to double," Dan Weinberger, who studies the epidemiology of infectious diseases at Yale, told CNN.

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https://www.cnn.com/2020/04/27/health/deaths-spike-covid-spread/index.html

It's just as I thought all along. There is basically a 2 to 1 ratio between the deaths of the ones tested and those that die non-tested. This proves it (at least for the Yale Study). 

So, if you take the number of deaths today and multiply that by 2 that is likely to be the number of deaths that were not tested that day for coronavirus in your area.

Then if you add the tested deaths to that (which you can most easily find by multiplying the deaths in your area by 3 (for an estimate of actual coronavirus deaths in your area) you will have a general idea of just how many people have died in your city, county, state or the U.S. or the world that day of coronavirus.

However, I think this only works for the U.S. to do this and I'm not sure if this would work for states not that populated. But, for metropolis' in the U.S. this way of estimating might work in general to calculate the actual numbers of coronavirus deaths in your area.

Which you are not going to find in tested cases where people die.

The reason this study likely wouldn't work for other countries likely (unless it is European countries) is because other parts of the world have sometimes very different lifestyles and habits that would be different than Europe the U.S. and Canada and New Zealand and Australia.