Reddit Reddit reviews Data Smart: Using Data Science to Transform Information into Insight

We found 16 Reddit comments about Data Smart: Using Data Science to Transform Information into Insight. Here are the top ones, ranked by their Reddit score.

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Data Smart: Using Data Science to Transform Information into Insight
Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.
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16 Reddit comments about Data Smart: Using Data Science to Transform Information into Insight:

u/czlapka · 7 pointsr/datascience


Maybe not exactly typical Data Science but as an introduction, a background I recommend "Data Smart: Using Data Science to Transform Information into Insight"

https://www.amazon.com/Data-Smart-Science-Transform-Information/dp/111866146X/ref=asap_bc?ie=UTF8

u/rsanek · 5 pointsr/statistics

I've heard good things about Data Smart, though I have yet to read it myself. It's an introductory text from the big data guy at MailChimp.

u/briangodsey · 3 pointsr/datascience

One of the best not-very-technical books on data science in business is Thinking With Data. It's quirky but gets at the core of what good data science is supposed to be.

Beyond that, Data Science for Business has some great stuff in it, but you would probably want to skip the more technical parts, which might end up being most of the book, depending on your interest in that. Same for Think Like a Data Scientist (apologies for the self-promotion).

Medium.com has some solid articles about data science and various aspects of business, but they are scattered and I haven't yet seen a collection of articles that broadly cover what you're looking for.

u/starkiller1990 · 3 pointsr/datascience

Check out Data Smart. http://www.amazon.com/Data-Smart-Science-Transform-Information/dp/111866146X

It shows you how to perform linear regression in Excel as well as loads more Data Science techniques such as time series forecasting, clustering, prediction etc.

Assumes no background in Maths/stats and all you need is excel

u/Skippertech · 3 pointsr/dfsports

https://www.amazon.com/Data-Smart-Science-Transform-Information/dp/111866146X

In my case I am a software engineer by trade so I don't use excel as much

u/tjen · 3 pointsr/excel

yeah that's a bit more advanced than just reading up on some functions like /u/aristite said.

I am guessing that's not the kind of stuff they'll want you to do in the interview session, 60 minute is a short amount of time once you start working with bigger/more advanced datasets.

I would go with the stuff already mentioned in this thread, + array formulas, and for the more advanced statistical/analytical methods (monte carlo simulations etc.) and how to do them in excel, have a look at this book:

http://www.amazon.com/Data-Smart-Science-Transform-Information/dp/111866146X

u/c3534l · 3 pointsr/MachineLearning

The first one isn't too off: Amazon link to a book

Granted, it's not distributed, but I read that book given its high rating and the author really jumps through hoops trying to figure out how you'd do k-means in a spreadsheet without macros or anything.

u/ichp · 2 pointsr/learnSQL
u/froggyenterprisesltd · 2 pointsr/statistics

I forget how deeply Data Smart delves into correlation, but you may want to give it a shot. Also, here's a summary on the book. It's very to the point and written in very clear English.

u/SnOrfys · 2 pointsr/MachineLearning

Data Smart

Whole book uses excel; introduces R near the end; very little math.

But learn the theory (I like ISLR), you'll be better for it and will screw up much less.

u/LmpPst · 2 pointsr/MachineLearning

If you want super beginner, Data Smart by John Foreman is probably the best. It isn't free and it is very basic.

http://www.amazon.com/Data-Smart-Science-Transform-Information/dp/111866146X

u/OCData_nerd · 2 pointsr/excel

No problem. The article (not technical) that really opened my mind and got me excited about the future of AI/machine learning was this one called "The Artificial Intelligence Revolution: The Road to Superintelligence" by Tim Urban. From there, I went on to discover a book called "Data Smart" by Jon Foreman which uses spreadsheets to teach machine learning. Both are excellent reads if you find yourself wanting more :)

u/[deleted] · 2 pointsr/mathematics

https://class.coursera.org/ml-005

This started today. SVM's will be covered in a couple of weeks.

Also, if you're brand new to data, and you're stuck with just excel chops, this is supposedly a good place to start.


Also, there is an /r/machinelearning

u/DangerousDan1834 · 1 pointr/datascience

I think professionally Excel's use is limited to view small csv + run simple calculations, you can do a whole host of "data science" analysis using just excel alone. Check out Data Smart. The first book that introduced me to clustering.

u/kashmoney7 · 1 pointr/datahacker

Here are a few that helped me. I'm always looking for more to keep me sharp.

Web Analytics 2.0
Data Smart
Good Strategy/Bad Strategy
Web Analytics Action Hero