It is nice to present the wealth of resources that is available to anyone looking to its skill set in this field.
However as far as course intro goes, it doesn't get me very exited, partly on the way it is worded: Python as a language choice, using libraries that other have build. Would it not be better to teach the basic from basic, and then acknowledge there is a library that can handle that?
Another grip I would have here, as well, is the page formatting: the single column layer you have on that blog does not fit the length of the text you have. I am reading: http://www.moserware.com/2010/03/computing-your-skill.html at the moment and apart from the nice picture to look at (who doesn't like shiny), the layout is much cleaner and the information is more readable.
Finally, and as it has been mentioned in other post, you ought to have a small sum up of what 'data science' is (in relation of other used term for describing statistical analysis of dataset) and where it is coming from.
It is nice to present the wealth of resources that is available to anyone looking to its skill set in this field.
However as far as course intro goes, it doesn't get me very exited, partly on the way it is worded: Python as a language choice, using libraries that other have build. Would it not be better to teach the basic from basic, and then acknowledge there is a library that can handle that?
Another grip I would have here, as well, is the page formatting: the single column layer you have on that blog does not fit the length of the text you have. I am reading: http://www.moserware.com/2010/03/computing-your-skill.html at the moment and apart from the nice picture to look at (who doesn't like shiny), the layout is much cleaner and the information is more readable.
Finally, and as it has been mentioned in other post, you ought to have a small sum up of what 'data science' is (in relation of other used term for describing statistical analysis of dataset) and where it is coming from.