What Programming Language Should I Learn for Data Science

Are you looking for the answer to the question “What Programming Language Should I Learn for Data Science“, then this article is for you, if you read this article from start to end, you will get the required information surely?

We are learning different topics that beneficial to learn as the programming language used in machine learning and data analytics but today we have to discuss which programming language is used in data science. Data Science is the way to get useful information from raw data. In the big industries where millions of data are coming to the database, from that data we can get any useful information or we can’t make a report which we share with the public.

So to get useful and beneficial information that helps to make decisions we use data science. It is used in different organizations like banking, finance, manufacturing, transport, e-commerce, education, etc.

What is Data Science?

The aim of data science is to extricate useful and applicable information from structured or unstructured data. As unstructured and structured data in millions of numbers, we cannot extract information with normal tools, due to that we used programming languages that are more powerful in the field of development. So here a Computer programming language is used in extracting information that is used to make decisions.

Data science is the interdisciplinary field that uses mathematical rules, engineering or scientific methods, complex and simple algorithms to get beneficial and useful information. The information receives after processing the raw data, can make a decision. To learn Data science you need to strengthen your programming skills and other technologies which are used in it.

What is interdisciplinary filed?: it involves in two or more academic, scientific, or artistic discipline, It get knowledge from different other fields/subjects as, psychology, anthropology, sociology, economics, etc

Why need to Learn Data Science

If you want to get a solution to the “what programming language should I learn for data science” question, then it is not enough but you also need to clear that what we can do with D-science. Because it is very important to know.

If we talk about its need in the field of development, then I will say that now a day, we cannot improve our system or cannot important in technology without the use of data science. Now a day it has great importance, it also matters in government important.

And big companies use such techniques and technology to find out the best way to improve their business day by day. We extract useful information from raw data, using that information we can make plans that how we can improve in the field of business.

There are different reasons, due to that you have to learn Data science, I cannot force advice you that must learn data science, but I want to share some advantages and benefit in future if learn data science.

As you know that Python is the most famous programming language, you will write code for data science using Python and it is true that Python has more powerful features and libraries, getting benefits from those libraries, you can improve your work in the field of data science

If you are involved with any big or small organization, then you can learn DS to work with that organization’s data because you will provide them useful information about their data.

If you have any ability that you want to make a system that helpful for those organizations who need help. Because sometimes, organizations want to improve, but they have no facility, you can help them

There are different online jobs are available, you can learn DS and then providing them service of data science, you will be hired in a short time, then make money.

Read continue!

What we can do with Data Science

The following types of functionalities can be developed using Data Science. The purpose of sharing the following information is that you should be cleared that you are learning a high-level technology in which you can do more as you want. That is a very vast field of development.

• Website Recommendations
• Advanced level Image Recognition
• Speech Recognition
• Identify and predict the disease in the field of medical
• Fraud Detection
• Risk Detection
• Augmented Reality
• Airline Route Planning
• Work with Tax fraud.
• Health and care
• Internet Search
• Enhance shipping routes in real-time.
• Targeted Advertising (Automating)
• In the field of Game development

What Programming Language Should I Learn for Data Science

There are different programming languages we can use for data science, if you want to know about What Programming Language Should I Learn for Data Science, then I will suggest you learn Python. Because it is the language that is most popular and open-source which is easy to use and easy to understand. The developer uses mostly Python programming langue in their development projects. At JafriCode, we also suggest you take a Python course to take the start.

First of all, you have to learn Python in such a way that you should know its basic rules, and you will be able to do basic programming with Python. After creating the simple and complex type of project using Python, then move to the use of libraries that are used in data science. There are different libraries, which are specially used in data science as PyTorch

Pandas,  Scrapy, BeautifulSoup, NumPy, SciPy, Keras, TensorFlow, XGBoost, etc. You have to learn the first library then make your experience in that library then move to another library.

The question may arise in your mind, what can you use other than the programming language used in Python? The answer is that Yes you can use it. The programming language like C, C++, Julia, javascript, R, Scala, etc

Who is a Data Scientist

It is the developer who develops a data science project, such developer study in detail data science technology using different way. For example, if you want to become a data scientist, you will need to learn all those skills that are necessary to work with data science.

In the case of Python, you should have good knowledge and experience of following libraries, then you will become a good data science.

• PyTorch
• Pandas
• Scrapy
• BeautifulSoup
• NumPy
• SciPy
• Keras
• TensorFlow
• XGBoost

Conclusion

Sure you have to answer the question “what programming language should I learn for data science”. In which we discussed many things which will be beneficial for you. As we have cleared that Python is the programming language that is used in the data science field for producing high-quality software for different organizations. So learn Python from its basics and study the data science field.

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