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Berkeley Offers Its Data Science Course Online For Free (berkeley.edu)
In a news bulletin, University of California, Berkeley announces that its "Foundations of Data Science" course is "being offered free online this spring for the first time through the campus's online education hub, edX." From the report: The course -- Data 8X (Foundations of Data Science) -- covers everything from testing hypotheses, applying statistical inferences, visualizing distributions and drawing conclusions, all while coding in Python and using real-world data sets. One lesson might take economic data from different countries over the years to track global economic growth. The next might use a data set of cell samples to create a classification algorithm that can diagnose breast cancer. (Learn more from a video on the Berkeley data science website.) The online program is based on the Foundations of Data Science course that Berkeley launched on campus in 2015 and now has more than 1,000 students enrolling every semester. The Foundations of Data Science edX Professional Certificate program is a sequence of three five-week courses taught by three winners of Berkeley's top teaching honor, the Distinguished Teaching Award: DeNero, statistics professor Ani Adhikari and computer science professor David Wagner. The first of the three parts has already started (9 a.m. on April 2), but enrollment will remain open after the course begins. Furthermore, anyone in the world can enroll for free but those who want to earn the certificate will need to pay.
How dare they offer a stem course that ignores the social injustices of today.
Look at the example data sets, they're doing it subliminally, but yes, they're doing it, FTFA:
One lesson might take economic data from different countries over the years to track global economic growth. The next might use a data set of cell samples to create a classification algorithm that can diagnose breast cancer. (Learn more from a video on the Berkeley data science website.)
I was thinking the possibility of a course of "cryptocurrency mining".
But this course maybe demand massive due to higher popularity of how to obtain money buying more and more graphics cards.
Morons! Thanks you!
1. Deep Learning.
2. Artificial Intelligence.
3. Cryptocurrencies.
4. ???
5. Real Profit!!!
During spring break from my local college I started this EDX course. It's not bad, and it is free.
It consists of four courses. The first one is "Python in Data Science". I put about 20 hours into it and made it through week 3 of 10. I learned some Python basics, went into Numpy, then Pandas dataframes.
The expectations for programming skill and math skill were low.
Nice thing is after this I can graduate and go working for either Facebook or Google.
The course -- Data 8X (Foundations of Data Science) -- covers everything from testing hypotheses, applying statistical inferences, visualizing distributions and drawing conclusions, all while coding in Python and using real-world data sets.
Literally none of which will be useful here on /. :-)
It must have been something you assimilated. . . .
I work in Data Engineering, leading teams of what used to be known as ETL Developers building analytics warehouses and datamarts to power and operationalize models built by data scientists.
While over the past two or three years, it was considered , 2018 is supposedly the year of the Data Engineer.
These aren't new roles, by any means, they're simply coming out of the dark reaches of organizations and becoming an integral part of successful business. DE and DS resources are expected to make sense of non-sense and present those findings to wider audiences than even 3-5 years ago, including C-level executives.
The company I currently work for has a large number of numbers-focused resources which span the gambit and *ALL* of them could benefit from learning the basics of how to take the data they use to the next level without having to rely on DE/DS teams to get it to them.
Just like spreadsheets are consumed and used by all levels of an organization, in a few years, DE and DS tasks will likely see similar amounts of proliferation across job titles. Yes, this approach can be fraught with challenge; however, it would serve any one who is in a field where they're analyzing data in spreadsheets or otherwise collecting and understanding data to take at least a basic course and bring themselves out of Excel pivot/macro/VBA hell into something more manageable.
TL;DR - take the course and apply the learnings to your own stuff. Maybe you'll end up in one of the top careers in the country.
I'm still waiting for the free "Scalable Quantum Green Big Data AI Blockchain Science" course to be available.
I'll take that course along with "Marketing Buzzwords".
$357.30 != free
Requiem for the American Dream
I wonder how long this will last before it suffers the same fate of this other attempt at Berkeley putting content online for free. If everyone forgot, Berkeley tried this and was stopped by advocates for the disabled who demanded that, according to the law, they make all the free material disabled-accessible. And the law doesn't have an exception when putting the material online is free but making it disabled-accessible costs money, so they had to remove the whole thing.
Cal Berkeley is only good for one thing, rioting and vandalising when someone comes to speak that they don't like. All in the name of free speech of course.
I wouldn't send my dog to that school, so why would any self-respecting human being take a course there?
I hope they include closed captions so they don't get closed down.