Adding UC Berkeley's Analyzing Big Data with Twitter course.

README.md

@@ -390,3 +390,8 @@ Courses
 	- [Lectures](http://www.schneems.com/ut-rails/)
 	- [Assignments](http://www.schneems.com/ut-rails/)
 	- [Videos](https://www.youtube.com/playlist?list=PL7A85FD7803A8CB1F)
+
+
+- [Info 290](http://www.ischool.berkeley.edu/courses/i290-abdt) **Analyzing Big Data with Twitter** *UC Berkeley school of information* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" title="Lecture Videos" />
+	- In this course, UC Berkeley professors and Twitter engineers provide lectures on the most cutting-edge algorithms and software tools for data analytics as applied to Twitter's data. Topics include applied natural language processing algorithms such as sentiment analysis, large scale anomaly detection, real-time search, information diffusion and outbreak detection, trend detection in social streams, recommendation algorithms, and advanced frameworks for distributed computing.
+	-  [Lecture Videos](http://www.ischool.berkeley.edu/newsandevents/audiovideo/webcast/21963)