Coding is one of the most popular skills of the decade. Almost every 4th human you meet is trying to learn to code in one or the other language. It is because coding is the most valuable skill right now. It is said that every company that exists today will be a software or internet company in the next 10 years. If not, then every company would surely have an IT department to look into the company’s needs. There are various jobs available in this field of computer science and IT. Generally, people seem to know about software and web development. In reality, the world of computers has a lot more opportunities. There is Artificial Intelligence and Machine Learning, there’s traditional software development, there are software testers, there are penetration testers, systems engineers, database engineers, white hat hackers, and last but not the least, data Analysts or data scientists. In this article, we will discuss why python is ideal for data analysis.

Why Data Analysis?

Now, there are a lot of people who want to learn to code but don’t know which branch they should get into. It may be a problem that everyone is facing. Software development has too much competition right now. If you think you have excelled in software development, just look over your shoulders and you will see someone doing better than you. 

So what to do now? Where to go from here?

Well, data analysis is the way to help you grow your career and continue your passion for coding. Earlier, people used to mine Gold and silver. In today’s world, this place has been taken by data. Facebook (now meta), acquired WhatsApp, which is a free application for a lot of money. Do you know why? The answer is, to use people’s data. Facebook uses data from users to know their interests and then shows ads to them. It is not harmful but it explains the worth of data in modern times.

What Language to Learn to Code for Data Analysis?

There are multiple languages available to learn to code for going in the data analysis branch. The most popular of them is python programming. Its popularity can be attributed to several factors. Python, being a high-level language, is very easy to understand and learn. It is by far the most sensible language to learn and anyone can learn it even if they are just starting to learn to code. Apart from these general reasons, there are specific reasons to learn python for data analysis.

Reasons to Learn Python for Data Analysis

It Is Easy to Learn

Every knowledge has some syntax that it follows. In the case of python, it follows one of the simplest syntaxes ever made. The simple syntax makes it easy to learn and easier to pick up. The syntax is similar to that of the normal English language. Once you start to learn python, it becomes easier and easier.

Python Is Easy to Read

Let’s say that you read someone else’s code from the middle. Due to its syntax which is exactly like English, it becomes easier to understand what the other person is trying to do with his code. Due to this, it becomes convenient to learn from the documentation given on the internet if you decide to learn python online. So overall, python makes coding and sharing the code with others easier.

Python is Renowned

Python is considered the third most used language in any field of coding. Many big organizations like Facebook and Google rely on python for their data science projects. Learning python online or offline will help you land a gig in these big companies. You will at least have to learn some part of python if you want to go into data analysis. While there are other languages to learn data analysis, python still tops the list due to its versatility and its ability to design awesome frameworks.

The Language Has Quite a Large Following

 Given the popularity of the language, Python has a huge community all around the globe. If you learn python online, you’ll be receiving help from people anytime you want. Being a part of a huge community comes with many benefits. You can find a partner to work with you, you can find clients to work for, you can get help from people to solve your issues, and you can even solve the problems of other people. If you decide to learn python online with such a big community then you will turn out as a great coder. It will help you develop your thinking as a true python coder.

Libraries to Support Your Journey

There are various libraries in python like Pandas, SciPy NumPy, etc., which help in your journey of becoming a data analyst. These libraries help you in handling and organizing data structures, working with complex networks and algorithms. New libraries are added every day due to their active community. Python is a 30 years old language and so the depth and potential of this language have been fully discovered. To help you in your work, coders from around the world share different libraries every day.

Reliability and Security of Jobs

If you choose data science as your career and you learn python to dive into this field, then you’ve made the right choice. Python, as a language, has made it clear that it is not going anywhere. Companies are looking to find more and more data scientists and they are unable to find enough. If you choose python, then it is a guarantee that you will land a secure job and

You will have a great career.

There are many languages available to learn data analysis. This makes it difficult for aspiring coders to choose which language to learn. But if you decide to learn python then it will open a door to a lot of opportunities. Having a stable career is everyone’s motive and learning python will help you achieve your goals. There are far more advantages to considering python in your journey of data science. You can never imagine what improvement will happen if you learn python.

With an active community, so much help can be provided to you. With libraries and documentation that are being added every day, you can easily pave your payout into the world of data analysis.

I hope you enjoyed reading this article.

Happy Learning!

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