From b585ae7ba3cab8ee99c9839283ebd7eef92741c0 Mon Sep 17 00:00:00 2001 From: Sandeep Vanga Date: Sun, 1 Feb 2015 13:23:45 -0800 Subject: [PATCH] Adding Data Mining Specialization --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index 3ee3c758..697dcd1d 100644 --- a/README.md +++ b/README.md @@ -51,6 +51,9 @@ Start here. * *Topics:* Visualizing Data, Estimation, Models from Scaling Arguments, Arguments from Probability Models, What you Really Need to Know about Classical Statistics, Data Mining, Clustering, PCA, Map/Reduce, Predictive Analytics * *Example Code in:* R, Python, Sage, C, Gnu Scientific Library +**Specilization Track in Data Mining** [UIUC / Coursera] (http://bit.ly/18FKi5T) +* *Topics:* Pattern discovery, clustering, information retrieval, text mining, processing structured/unstructured, visualization, implementing search engine + ### A Note About Direction This is an introduction geared toward those with at least **a minimum understanding of programming**, and (perhaps obviously) an interest in the components of Data Science (like statistics and distributed computing). Out of personal preference and need for focus, I geared the original curriculum toward **Python tools and resources**. R resources can be found [here](http://bit.ly/osdsm-rresources).