31–37 of 37 posts
I hope they will realease course in online form (similar like coursera) and offer it for reasonable price (max 100usd per person).
There are plenty people outside of USA willing to take lessons on this kind of a course.
It'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.
And frankly, even if data science is just statistics rebranded, anything that can get more people to take an interest in statistics is a good thing. If a hype-fueled new sticker is what it takes, then why not.
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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.
Earlier quoted context omitted.
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.
It sounds like we're not talking about the same thing.
Earlier quoted context omitted.
It sounds like we're not talking about the same thing.
No, we are. You are talking about gathering, modeling and summarizing data. To claim that those skills "really haven't been universally understood and effectively applied to problem solving" is ludicrous. What do you think scientists did prior to the advent of "data science"?
Unfortunately data science is not well defined (in part because it is a young field), but it draws extensively from computer science and is targeted toward data sets that are different from those that have typically been used in 'traditional' statistics - huge, dirty data sets.
This debate has a similar flavor to Physicists saying that Chemistry is not a science because it's all just physics, and Chemists saying that Biology is not a science because it's all just chemistry. They are extensions, just like Data science, and pretending that an expert statistician will be and expert data scientist is just not tenable.
There is room for something more.
As a software engineer working in the biotech industry I find your posting very interesting and insighful. I am currently pursuing an MS in Bioinformatics at the same time is very interested in Big Data. I think the $14,400 for a 12 weeks program is a great investment. However, the location is not ideal. Do you plan to expand your bootcamp to other cities besides SF?