The fine folks at DataCamp, a great site for learning data science right in your browser, have come up with another great infographic. This time it compares some of the many job titles in the data science field.
The infographic lays out the roles and skills needed for the following job titles. Note: not all the job roles can be confused with a data scientist, but all the roles can be important when completing an entire data science project.
The lines between analytics and data science can definitely be very blurry. Different companies might call the same position by two different names, but at their core, they do have some differences.
Below is an infographic from the faculty of the Online MS in Analytics at American University. I think the infographic is accurate.
In my opinion, a true data scientist should spend more time creating and programming new algorithms while a business analyst should spend more time applying existing algorithms.
A couple of notes
Years of Education are not much different, but the academic disciplines are very different. Data Scientists tend to have degrees with more rigorous mathematical training. For me, this is the biggest differentiator.
It appears financial institutions prefer business analysts while the government and colleges prefers data scientists
Surprisingly, Business analyst jobs are projected to grow faster than data scientists (27% to 15%), not sure I totally agree with that!
Here is a great infographic from Data Science @ Berkeley. Just how big is a Gigabyte(GB)? Be sure to look all the way to the bottom. It mentions/explains a few of the latest innovations in hard drives, for example: helium, SMR, HAMR. You will have to scroll to the bottom to see what those acronyms mean.