It is no secret that we live a strange time. The world has literary hit the pause button as we are trying to cope up with the post-COVID reality. In the world of IT, things are pretty much the same. So, if you are looking to settle down in the right career path, consider yourself lucky. However, most of the fresh grads still looking for the ideal scope to bolster their career.
So, today, we will explore some of the programming languages to Learn for Data Science that we believe are still reliable to learn in 2020. These languages do have ample job prospects which you can cash in while the world will try and heel.
Programming Languages to Learn for Data Science
In this section, we are going to discuss the Top 10 Programming Languages to Learn for Data Science. So, let us dive in.
Of course, we start this list with arguably the most trending programming language in the world right now – Python. The obvious reason behind that is its flexibility. You can do web designing, develop a software or web application, and even built mobile apps with Python. However, the reason the real reason for its immense popularity becomes most experts believe it is the best language for AI and Machine Learning.
The fact that the language is open-source makes it more acceptable. Also, there are hundreds of online communities that you can seek for help. As the demand for data science will likely to increase in the near future, we can expect Python will dominate the market in 2020 and beyond. Of course, one more reason to learn it as it is easy to learn.
The second one in this list is a bit unconventional – R. If you are really into Data Science, R can be of great help. There are several features that are available in this programming language which makes it stand out from the rest. One of the core reasons people admire R is because it is a vector language. Naturally, this adept language can do multiple functions at once with ease.
However, some believe this language is exclusive for Data Science; several other reports also suggest that R is efficient enough for financial studies, genetics, and medical science. Either way, R is a unique language and has a definite edge to it. It is not that hard to learn either, and the career scopes in 2020 and beyond seems vibrant.
Structured Query Language or just SQL is probably the most popular database management programming language in the world right now. The reason coders love this one is because it can work with other languages seamlessly. So, if you are a web designer and need to store database, SQL is your solutions. Many mobile app developers prefer SQL, as well.
The biggest advantage of learning this language is you can use it with almost every popular language for any kind of project. So, it widens your work scope and makes it ideal to learn in 2020 and beyond. SQL is easy to grasp, and almost every training center have SQL curriculum in it.
4. C (C++)
C and C++ are the vintage programming languages that will never go old no matter which time we live it. It is and will always be one of the best programming languages for making enterprise solutions. A Data Scientist’s toolkit is incomplete without C, followed by C++. Granted there are alternatives available nowadays, but a large chunk of companies still prefers the language more than others.
The spectrum is enormous if you learn C, as there are multiple domains you can try depending on your preference. There are tons of training centers to date who teaches C and C++. So, learning will not be going to be an issue.
There is another perspective in this as well – since many companies will face a financial crisis, they will not be going to change their core functions to an extreme level. So, if you are an expert in C++, there are still ample job opportunities for you in the future.
Also Read: 8 Best Online Courses for Data Science
It is okay to say that Java is arguable the complete programming languages of all time. It has been around for more than three decades, but still, it offers something robust every day. There are hundreds of library features that you can take help alongside thousands of frameworks.
With Java, the possibilities are endless. You can do website designing, building software or mobile apps, create desktop applications, and many more.
Java has always been a fan-favorite of most business houses. That is why it is still preferred as enterprise solutions. The fact that Java is an open-source programming language, you can easily customize it to whatever you need for wrapping up a project. Sure, it is not easy to learn Java, like most languages nowadays. However, there are plenty of centers where you can learn it as it still worth learning.
MATLAB is yet another programming language ideally suited for Machine Learning. You can also do a lot of stuff with this incredible programming language. Nonlinear optimization and System identification are the two most promising jobs that you can do. Of course, you can try hundreds of prebuilt algorithms for image and video processing, as well.
Learning MATLAB is not that hard. However, finding proper institutes may have been an issue. Of course, you can always find suitable courses online. Now, the language has a wide spectrum that is worth giving a shot. So, what we can see it has a bright future in 2020 and beyond.
Scalable language, or popularly known as Scala is one of the most competent programming languages that you should consider learning. The language is, first and foremost, an extension of Java, and it also supports JVM. With Scala, you can do Big Data programming with ease. As everyone knows, Big Data will be most likely to offer tons of job scopes; it is imperative you should be aware of Scala.
Scala is easy to learn and runs on most platforms. If you are into Data Science, you should consider learning it, as it will bolster your skills to a new degree. As it carries both higher-order functions and anonymous functions, you can pull off some incredible projects at a jet-speed time.
One of the simple yet powerful programming languages in this list is Swift. First of all, it is a dedicated program for building apps in iOS smartphones. We all would agree that apps are the future technology. So, Swift will elevate your skill, and at the same time, you can be relevant to the industry demands.
This language is indeed fast and as promised a program for the future generation. There are some intriguing features available only is Swift that will help you to build iOS apps with minimum efforts. Learning Swift is also easy, and nowadays, it will not be that hard to find proper training centers either.
We will wrap up this list with yet another open-source programming language – Julia. The reason for its fame is its lighting speed. Some expert study even suggested that it is faster than R and Python. It is one of the perfect alternative languages for Python if you are interested in Data Science and AI-based projects.
You can literary explore more than 1900 packages that the language offers, and with every passing time, more and more online communities are spawning up.
Another significant reason people love Julia is it can seamlessly integrate with other languages like C, C++, MATLAB, R, Python, and many more. Julia is easy to learn; however, finding an adept training institute may be troublesome.
So, these are the top 10 programming languages to Learn for Data Science that we believe you should consider learning. One thing that you must understand, though, is there are, of course, millions of other languages that you can choose too. We, however, picked those which we believe will have a greater impact in this perilous time.