From the course: Twelve Myths About Data Science
Unlock the full course today
Join today to access over 22,600 courses taught by industry experts or purchase this course individually.
Big data can be handled by data scientists
From the course: Twelve Myths About Data Science
Big data can be handled by data scientists
- [Instructor] When people think about big data, they often think that that's a thing for data scientists. That data scientists can take care of it. I'm here to tell you that that's a myth. Big data can not just be handled by your data scientist. So let's take a look though, at what a modern data scientist really is, and what their skill set's like. First and foremost, data scientists are known for their ability to perform statistical analysis. This also usually goes well with a fondness for numbers and a good grasp on math. In this category, we have really exciting things like machine learning and experimental design, bayesian inference, all things that are outside of big data. They're just ways of understanding the world around us that don't necessarily directly correlate with big data systems, even though there's obviously data involved. Next, programming and databases. This is an area that is core to a data scientists role, however, they're not typically interested in building…
Contents
-
-
-
Big data will instantly yield great insights1m 50s
-
(Locked)
Big data will make analytics easier1m 29s
-
Big data will be easy to set up3m 43s
-
(Locked)
Big data will replace my relational databases2m 33s
-
(Locked)
Big data is one thing3m 36s
-
(Locked)
Big data is cheap3m 29s
-
(Locked)
Big data systems are fast3m 47s
-
(Locked)
Big data is the IT team's job2m 14s
-
(Locked)
My dev team shouldn't care about big data2m 6s
-
(Locked)
Big data can be handled by data scientists3m 4s
-
(Locked)
Big data will eliminate the need for X2m 48s
-
(Locked)
Big data is necessary3m 52s
-
-