Introduction:
One of the most important aspects that they have to learn is a programming language for data scientists. They are used for analyzing the data that is provided. It is important to choose the right language as it can be a determining factor in your learning experience. For beginners, the most commonly used programming languages are R and Python. They are both free and easy to use. They also have a simple installation process. If you are someone with relatively no experience in the field of data science, learning these languages will be the stepping stones for you to advance. Looking forward to becoming a Data Scientist? Check out the Data Scientist Course and get certified today.
What is R?
R is one of the oldest languages in the field. The advantage of this is that you can always rely on someone to assist you in case you have any questions. You will always have support because almost everyone entering the field of data science Course will be familiar with it. Many new packages are publicly released, which can be downloaded with constant new updates to the software. R is a great tool that can be used for analyzing the data in-depth. Often, you will find that R works alongside other languages such as C and Java. The main purpose of R is statistical analysis. It is easy to navigate around it for someone entering the data science field since math can easily be converted to code. Also, check out this Data Science Coaching in Chennai to start a career in Data Science.
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What is Python?
Python is also an easy coding language that has a general-purpose. This means that it can do almost anything you want. This can include data munging, website scraping, data wrangling, and so on. This is easier to learn than R if you already have a basic knowledge of either Java or C. It is also easier to write bigger codes, and the prototype code can be used as a production code if necessary. Python is also the base language for machine learning and can help you out more when you learn it. However, it does not have huge libraries like R but has various tools like Numpy, Seaborn, etc. Become a Data Scientist with 360DigiTMG Data Science Classes in Bangalore. Get trained by the alumni from IIT, IIM, and ISB.
Which should you choose?
Your choice should come from personal preference. If you are comfortable with math and statistics, R would be an easier language for you to learn, whereas if you were a computer science major or software engineer, you would be more comfortable learning Python. Another way to choose is based on the project you are given. If you are working with data already gathered and prioritized for you, choose R because it is more statistical. If you have to work with data that is not sorted or scrape data gathered from websites or files, choose Python. Similarly, you can also choose the language you want to use based on what other people in your project are using. It would be easier to work together and achieve a common goal. Nowadays, jobs prefer Python over R, and this has increased over the past few years. Want to learn more about data science? Enroll in the Data Science Course in Hyderabad to do so.
Conclusion
If you are unsure of what language to learn first, consider these factors and make your call. Both Python and R are easy to learn to start up coding languages. Once you are familiar with either, you can advance in the field. Both R and Python have their advantages and disadvantages. If you think one is more important than the other and change your mind later, you can always learn both languages to have greater chances. Both these coding languages are at the forefront of the field and hold great value.
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