Added more

Info/Resources.md

@@ -8,14 +8,23 @@ Please only suggest resources that are free or free for Australian/NZ researcher
 
 |Topic| Name | URL|  Description |Free for AU/NZ| Free for All|
 |--------------|----------------------|----------------------------------------------|----------------------------------------|------|-----|
-|HPC| NCI Slides| http://nci.org.au/user-support/training/| Slides around HPC training with Parallel/MPI/OpenMP | Yes| Yes|
 |Collaborative tools| Atom Text Editor| https://atom.io/| A collaborative text editor, customizable|Yes|Yes
-|Statistics| Centre of Open Science- Statistics consulting| https://cos.io/our-services/training-services/| Offer free statistics consulting for researchers around open science |Yes|Yes|
-|Repository of Tools| Open Science Project| http://openscience.org/software/| A collection of tools ordered by research area|Yes|Yes|
-|Library|Library Carpentry| http://data-lessons.github.io/library-data-intro/01-introduction/| A list of lessons for librarians to upskill their tech knowledge. Great community| Yes|Yes|
+|Data Science Learning|Becoming a Data Scientist Curriculum|http://nirvacana.com/thoughts/becoming-a-data-scientist/| A visual roadmap for skills to build in data science|Yes|Yes|
 |Ecology|Global Biodiversity Information Facility| https://www.gbif.org/|Free and open access to biodiversity data| Yes|Yes|
-|Open Data|Kaggle|https://www.kaggle.com/datasets| Open data set repository|Yes|Yes|
+|HPC| NCI Slides| http://nci.org.au/user-support/training/| Slides around HPC training with Parallel/MPI/OpenMP | Yes| Yes|
+|Image analysis| Zooniverse| https://www.zooniverse.org/| Crowdsourcing research by uploading images with simple questions for the public to answer- Open source or hosted with permission|Yes|Yes|
+|Library|Library Carpentry| http://data-lessons.github.io/library-data-intro/01-introduction/| A list of lessons for librarians to upskill their tech knowledge. Great community| Yes|Yes|
 |Open Data|DataONE|https://www.dataone.org/previous-webinars/2017| Webinars and information about Open Data and good data practices in ecology|Yes|Yes|
+|Open Data|Kaggle|https://www.kaggle.com/datasets| Open data set repository|Yes|Yes|
+|Programming languages|Python Vs R Comparason|https://www.infoworld.com/article/3187550/data-science/python-vs-r-the-battle-for-data-scientist-mind-share.html|Yes|Yes|
 |Python|Python data Science Handbook|http://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb| Covers IPython, Numpy,Pandas, MatplotLib,Machine learning in Python|Yes|Yes|
-|Data Science Learning|Becoming a Data Scientist Curriculum|http://nirvacana.com/thoughts/becoming-a-data-scientist/| A visual roadmap for skills to build in data science|Yes|Yes|
-|Image analysis| Zooniverse| https://www.zooniverse.org/| Crowdsourcing research by uploading images with simple questions for the public to answer- Open source or hosted with permission|Yes|Yes|
+|Repository of Tools| Open Science Project| http://openscience.org/software/| A collection of tools ordered by research area|Yes|Yes|
+|Statistics| Centre of Open Science- Statistics consulting| https://cos.io/our-services/training-services/| Offer free statistics consulting for researchers around open science |Yes|Yes|
+|Statistics| Cross Validated- Statistics Stack Exchange| https://stats.stackexchange.com/|Yes|Yes|
+|Text Mining|PLOS training|http://collections.plos.org/textmining|Tutorials on text mining|Yes|Yes|
+
+
+On top of these resources, check out:
+- the many (and growing) Stack Exchange sites (https://stackexchange.com/)
+- Mozilla Science Group lessons (https://github.com/mozillascience/studyGroupLessons)
+- Software Carpentry training modules (https://software-carpentry.org/lessons/)