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Do I need to know C for data science?
While often it can be said that if you want to get into Data Science you should learn Python or R, which is certainly true, there are also some benefits to knowing languages like C or C++. In particular, I have found that the C programming language has really come in handy for Data Science work.
Is C and C++ necessary for data science?
“While languages like Python and R are increasingly popular for data science, C and C++ can be a strong choice for efficient and effective data science.
Why Python for Data Science is not in Java?
In terms of speed, Java is faster than Python. It takes less time to execute a source code than Python does. Python is an interpreted language, which means that the code is read line by line. This generally results in slower performance in terms of speed.
Is it possible to become a data scientist without programming?
It is impossible to become a data scientist without programming. However, you don’t have to be a data scientist to use data science! The market around data science, machine learning and analytics has matured enough to the point where there are many products out there to run data science algorithms without being a data scientist.
What skills do you need to become a successful data scientist?
The only important and mandatory skill that one must have to become a successful data scientist is the ability to analyze data and glean meaningful insights out of it. This is not to say that programming isn’t a useful data science skill to learn.
Is it possible to teach yourself data science?
If you are thinking of following a similar pathway into data science I would encourage you to go for it! It was absolutely the right choice for me. Different people learn in different ways, but if you have the self-discipline to study and complete what you start it is certainly feasible to teach yourself data science through online courses.
Do companies need more data scientists or software engineers?
Most companies don’t need as many data scientists as software engineers. Other companies are hiring their first data scientist right now. For this reason, many data scientists end up working alone, even if they sit at the same table as developers. This can make it difficult to get feedback and second opinions.