Update online_courses.mkd

docs/resources/online_courses.mkd

@@ -4,4 +4,6 @@ Title | By | From | Summary
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 [Machine Learning](https://www.coursera.org/course/ml) | Andrew Ng | Stanford University | Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
 [Data Analysis](https://www.coursera.org/course/dataanalysis) | Jeff Leek | Johns Hopkins | Learn about the most effective data analysis methods to solve problems and achieve insight.
-[Computing for Data Analysis](https://www.coursera.org/course/dataanalysis) | Roger Peng | Johns Hopkins | This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.
+[Computing for Data Analysis](https://www.coursera.org/course/compdata) | Roger Peng | Johns Hopkins | This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.
+[Introduction to Data Science](https://www.coursera.org/course/datasci) | Bill Howe | University of Washington | Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data.
+[Computational Methods for Data Analysis](https://www.coursera.org/course/compmethods) | Nathan Kutz | University of Washington | Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.