I agree that a computer science degree also shows to potential employers your interest in a future data science degree. Obviously, not so many universities globally offer degrees in data science at the moment.
Yeah… Data Science is a mixture of so many disciplines like math, statistics, economics, programming. Probably the best way to go in your country if there are no universities to offer a degree in data science, is to study a mixture of disciplines that will help you land a job in the data science field.
Artificial Intelligence and Data Science jobs are the fastest growing and some of the best paid ones for this and the coming up years.
Big data is the king! Especially with the coronavirus going on, the boom for data science specialists will be great.
It’s amazing to learn that a computer scientist can easily transition into a data architect or data engineer job with the skillset they already have.
Computer Science gives you the fundamentals to step on and to become a data scientist, so I do believe that a Computer Science degree is better at least for the moment.
After watching your channel for some time now(over 6 months), I am considering giving your courses a shot. You always post very useful information about the field.
The data science field is yet to boom globally.
However, the future is in machine learning and artificial intelligence, and data. So I am all-in for getting a degree in Data Science.
I am a front-end developer and I start seeing that more of the people I work with are moving towards data science. I may consider to do the same…
You are very right to say that “self-created” data science could be a good choice for undergrads because it is a mixture of various disciplines.
If you are looking to work in the data science field, a degree in data science over a computer science degree gives you a huge advantage.
There's also a great difference between being a data scientist developing generic software to one that actually works on a specific problem (like credit risk). It seems that many data scientists are employed in the latter but dream to be in the former.
Another great video! Thanks so much for the insight on this one!
Data Science degrees will become a new standard for universities to offer. Currently, only few universities offer undergraduate or graduate degrees in Data Science.
I'll share my experience, im a civil engineer with a MBA, i realized that i was so interested in finance, entrepeneurship, business and thing like this, then, i read about data science and i loved it. But nobody told me that i had to learn how to code, im learning python in the IBM Data Science certification, it has been so interesting: basics, python with SQL, data analysis, data visualization, machine learning (regression, classification and clustering), this week im starting my final project. But i feel, that there is a big world that is being more dificult that i tought, i feel like i need a lot of "help" (copy paste) to accomplish my assigns. Math, statistics, business, analytical sights is a peace of cake, each one with his/her own effort and fight.
I disagree that computer scientists only develop a discrete way of thinking. Most of machine learning was developed by computer scientists starting in the 50s since Arthur Samuel was able to demonstrate a working model that demonstrated machine learning. Most models failed before him, that is why he is considered the father of ML. Later came things like dynamic programming, genetic algorithms, reinforcement learning, note this fields are 100% computer science and highly probabilistic at the same time. Also computer science students are required to take both classical AI which is discrete and also machine learning which is probabilistic. So it is not true that computer scientists do not develop probabilistic way of thinking as they are the very same people who develop algorithms that are probabilistic.
I don't think a degree in data science will prevent you from other career options in the future. Statistics and programming skills are useful anyway and they are transferable to other domains as well. Take economics as an example, how many graduates ended up being an economist? It is even less relevant to data science unless you concentrate on econometrics. Also, many economics students do not have exposure to programming as they only use statistical packages such as SPSS or Eviews for their coursework.
I cannot agree more with you on your point that statisticians lack the coding pedigree.
@365DataScience