(This article was first published on

**Econometrics Beat: Dave Giles' Blog**, and kindly contributed to R-bloggers)It’s good to see that more and more students of econometrics are taking an interest in “Data Analytics” / “Big Data” /”Data Science” literature. As I’ve commented

**previously**, there’s a lot that we can all learn from each other. Moreover, many of “boundaries” are very soft, and are more perceived than real.So, I was delighted to see the arrival of

**The Statsguys**, last month. (Hat-tip to the team at**Quandl**for alerting me to this.More specifically, these fellas have put together a set of three

*really nice*tutorials titled, “Data Analytics for Beginners”. If you want to learn how to get started with R, and then go through the process of training and testing a Logit model to predict………. (I won’t spoil it for you!), then these tutorial are for you.The Statsguys describe it this way, at the start of the first tutorial:

“This post is meant forANYONEinterested in learning more about data analytics and is made so that you can follow along even with no prior experience inR. Some background in Statistics would be helpful (making the fancy words seem less fancy) but neither is it necessary. You will learn how to answer a question and discover new trends with a dataset by walking you through step by step in an example. You will complete a “data project” given from Kaggle, a data science competition website, and if you follow carefully, you can place yourself at the top 20% of all competitors.”

I hope that we see a lot more of this on their blog!

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