Added STAT 340 (#251)

* Added STAT 340

Added STAT 340 from Smith College

* Added STAT 340

README.md

@@ -19,6 +19,7 @@ Table of Contents
 - [Programming Languages / Compilers](#programming-languages--compilers)
 - [Security](#security)
 - [Systems](#systems)
+- [Statistics/Regression](#statistics)
 
 ### Legend
 
@@ -1005,3 +1006,18 @@ and anti-analysis techniques.
 	- This is an introductory course on Networking for graduate students. It follows a top-down approach to teaching Computer Networks, so it starts with the Application layer which most of the students are familiar with and as the course unravels we learn more about transport, network and link layers of the protocol stack.
 	- As far as prerequisites are concerned - basic computer, programming and probability theory background is required.
 	- The course site contains links to the lecture videos, reading material and assignments.
+	
+	
+-----
+### Statistics
+
+-[STAT 340](https://andrewpbray.github.io/reg/index.html) **Applied Regression Methods** *Smith College* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" />
+
+- This course covers the beautiful and useful tool of regression, which is the central technique of statistical modeling. By the end of this course you will be able to:
+	- Discern research questions and data that are well-suited to regression analysis.
+	- Conduct thorough exploratory data analysis of data in multiple dimensions.
+	- Understand the mathematical foundations of regression.
+	- Perform regression analysis in a modern computing environment.
+	- Interpret your model and communicate what it implies.
+- [Syllabus](https://andrewpbray.github.io/reg/syllabus.html)
+-[Lecture Notes](https://andrewpbray.github.io/reg/index.html)