It's time for this term to die. If it doesn't involve data, it's not science.
yea exactly - who does science without data. We've all been doing data science for years!
A Practical Intro to Data Science
21–30 of 37 posts
Re: A Practical Intro to Data Science
#22It's time for this term to die. If it doesn't involve data, it's not science.
Yes, and this is the Science of analyzing Data. The term isn't trying to say there is an alternative science that is "non-data", or that people in other kinds of science are not involved with data - it's just specifying what kind of thing is receiving the scientific method: the data itself.
Re: A Practical Intro to Data Science
#23It's time for this term to die. If it doesn't involve data, it's not science.
yea exactly - who does science without data. We've all been doing data science for years!
Yes and no - the component pieces of data science have been used for years, but as the OP describes, the field of data science assembles skills and tools that really haven't been universally understood and effectively applied to problem solving - it is a relatively fundamental shift to a new way of interacting with data.
Re: A Practical Intro to Data Science
#24It's time for this term to die. If it doesn't involve data, it's not science.
I agree. I absolutely love almost everything on this list but I only despise the term "data science" slightly less than "big data". Sadly what is often called "data science" is the rather narrow analysis of log files generated by websites.
Re: A Practical Intro to Data Science
#25It's time for this term to die. If it doesn't involve data, it's not science.
Back in the good old days, Data Science used to be called Statistics.
Statistics (noun) - The practice or science of collecting and analyzing numerical data in large quantities.
http://www.google.com/search?q=definition+statistics
And I would argue that qualification that the data be "numerical" in this definition is wrong. Plenty of statistical analysis invokes categorical text data (e.g. sex, race, occupation...).
Re: A Practical Intro to Data Science
#26I'm surprised no one commented on the cost: 14,400!
Assuming they don't do job placement (didn't see anything about that) then this is a total rip off and is just some people trying to cash in on the data science fad.
Besides, they just listed a bunch of free resources that invalidates the need to go through them, so unless they offer job-placement in an actual data-science-like position, why waste your money on this?
Besides, 12 weeks reminds me of Peter Norvig's "Teach Yourself programming in 21 days"
Re: A Practical Intro to Data Science
#27Too many link to click.
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.
Re: A Practical Intro to Data Science
#28Earlier quoted context omitted.
yea exactly - who does science without data. We've all been doing data science for years!
Yes and no - the component pieces of data science have been used for years, but as the OP describes, the field of data science assembles skills and tools that really haven't been universally understood and effectively applied to problem solving - it is a relatively fundamental shift to a new way of interacting with data.
Please. Statisticians have been doing this for over 300 years. Cooking up some infographic on your Hadoop cluster is not the paradigm shift you are making it out to be.
Re: A Practical Intro to Data Science
#29It's time for this term to die. If it doesn't involve data, it's not science.
But this way, my $employer's Business School can charge 19 thousand for an MSc in Data Science and Management!
Quantitative business analyst just doesn't sound as wallet-opening.
Re: A Practical Intro to Data Science
#30I'm surprised no one commented on the cost: 14,400! Assuming they don't do job placement (didn't see anything about that) then this is a total rip off and is just some people trying to cash in on the data science fad. Besides, they just listed a bunch of free resources that invalidates the need to go through them, so unless they offer job-placement in an actual data-science-like position, why waste your money on this…
We apologize that it was not more clear on the site, but we do partner with many companies throughout the program who give guest lectures and provide perspectives from the industry. There is also a hiring day where we match candidates with prospective employers to provide assistance with job placement and prepare our students extensively for interviews.
While we have shown there are many online resources available for understanding data science, we’ve found that structured, in-person programs provide the best environment for a collaborative learning experience.
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