From 274fa330dc656ab75f417b27e653f0101cfff1d4 Mon Sep 17 00:00:00 2001 From: martijnsublime Date: Sat, 4 Feb 2017 18:58:26 -0500 Subject: [PATCH] Four free python resources Added four additional free resources. Three courses focused on Python for data science, one course focused on python programming. --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index 4b88d981..223a6c50 100644 --- a/README.md +++ b/README.md @@ -174,6 +174,9 @@ One of the "unteachable" skills of data science is an intuition for analysis. Wh * Data Analysis in Python [Tutorial](http://bit.ly/mode-python-tutorials) * Python for Data Analysis [Book ```$24```](http://amzn.to/Q2pI5I) * An Example Data Science Process [ipynb](http://bit.ly/ipydsprocess) + * Intro to Python for Data Science [Interactive Tutorial](http://bit.ly/1OHx2uV) + * Python for Data Science by Microsoft [MOOC edX](http://bit.ly/2l9Dogt) + * Applied Data Science with Python [MOOC Coursera](http://bit.ly/2danP4n) ### Data Communication and Design @@ -207,6 +210,7 @@ _OSDSM Specialization: [Data Journalism](https://github.com/datasciencemasters/g * Learn Python the Hard Way [Digital](http://bit.ly/ebook-learnpyhardway) & [Book ```$23```](http://amzn.to/1hmzGw9) * Python [Class / Google](http://bit.ly/T4j40A) * Think Python [Digital](http://bit.ly/ebook-thinkpy) & [Book ```$34```](http://amzn.to/1ktQ5ZU) + * CodeCademy Python Tutorial [Interactive Tutorial](http://bit.ly/1GO0Fx1) #### **Python** (Libraries) Installing Basic Packages [Python, virtualenv, NumPy, SciPy, matplotlib and IPython ](http://bit.ly/scientific-py-install) & [Using Python Scientifically](http://bit.ly/lecture-scipy)