@@ -8,15 +8,15 @@ This is site is meant to serve as a directory for the amazing content the
88community has created around the Data Science Specialization. If you are
99interested in contributing [ click here] ( https://github.com/DataScienceSpecialization/DataScienceSpecialization.github.io#contributing ) .
1010
11- 1 . [ The Data Scientist’s Toolbox] ( /toolbox/ )
12- 2 . [ R Programming] ( /rprog/ )
13- 3 . [ Getting and Cleaning Data] ( /getclean/ )
14- 4 . [ Exploratory Data Analysis] ( /eda/ )
15- 5 . [ Reproducible Research] ( /repres/ )
16- 6 . [ Statistical Inference] ( /statinf/ )
17- 7 . [ Regression Models] ( /regmod/ )
18- 8 . [ Practical Machine Learning] ( /pml/ )
19- 9 . [ Developing Data Products] ( /ddp/ )
11+ 1 . [ The Data Scientist’s Toolbox] ( https://www.coursera.org/course/datascitoolbox )
12+ 2 . [ R Programming] ( https://www.coursera.org/course/rprog )
13+ 3 . [ Getting and Cleaning Data] ( https://www.coursera.org/course/getdata )
14+ 4 . [ Exploratory Data Analysis] ( https://www.coursera.org/course/exdata )
15+ 5 . [ Reproducible Research] ( https://www.coursera.org/course/repdata )
16+ 6 . [ Statistical Inference] ( https://www.coursera.org/course/statinference )
17+ 7 . [ Regression Models] ( https://www.coursera.org/course/regmods )
18+ 8 . [ Practical Machine Learning] ( https://www.coursera.org/course/predmachlearn )
19+ 9 . [ Developing Data Products] ( https://www.coursera.org/course/devdataprod )
2020
2121- [ Other Resources] ( /other/ )
22- - [ Curated Pages] [ Statistics Using R with Biological Examples ] (http://cran.r-project.org/doc/contrib/Seefeld_StatsRBio.pdf )
22+ - [ Curated Pages] ( http://cran.r-project.org/doc/contrib/Seefeld_StatsRBio.pdf )
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