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Many data science professionals or aspiring data scientists already know that Python is the most used programming language in the field of data science. Among various programming languages in the market, Python is the most preferred one.

Python is an open-source, high-level programming language that is highly used by data scientists. The programming language works wonders with statistics, mathematics, and other important elements of data science.

Let's see the reason behind Python being the most preferred programming language for the data science field:

Easy language
Python is easy to learn and easy-to-operate language. The coding of this language is just like simple English and thus is easy to grab hands on it.

Libraries
Python has hundreds and thousands of libraries that help thousands of coders. Professionals get to save the majority of their time as they don't have to write each code manually. The popular libraries of Python are Numpy, Pandas, SciPy, etc.

Useful for Machine Learning and Artificial intelligence
Along with data science, Python is used for machine learning and artificial intelligence. The easy nature of Python language makes working with algorithms of machine learning and artificial intelligence much easier.

The language is universal, dynamic, and very easy to learn. The concluding line is that the Python language is most preferred and appropriate for the data science field.

Data augmentation is used by Data Science professionals to avoid the situation of 'overfitting', and increase the available dataset that is small for training purposes. Sometimes, they even use deep learning models to put some extra effort into the datasets.

In simple words, Data Augmentation means the process of generating new data by increasing the size and quality of training datasets to make sure that better models can be built utilizing them. Just remember, that while dealing with machine learning, artificial learning, and deep learning, the dataset should be large enough. And Data augmentation is the process that will help you boost the already existing data quickly.

Data Augmentation is a must-have skill for every data scientist. If you are looking for the first data scientist job then it is the most important skill that you need to have on your CV. So, if you want to master this skill and become a successful data scientist, enroll in the best Data Science Course in India. Because only through the right course and data science training, you can learn this skill!

Hey guys,

I am new to this forum and need your support.

I am a college graduate and want to know more about the data science. I think there is never been a better time to launch your career in data science. it’s also one of the most lucrative tech roles, with median salaries for data scientists being around a hundred thousand dollars a year.
But, the question is how do i prepare for the six figure salary job of data scientist. Well, I found it very similar to other interviews. Still, there are some idiosyncrasies. Let’s take a look at what you should be ready to handle, and how to best respond.

Research the Role and Company
Review Your Portfolio and Past Projects
Brush Up on Foundational Concepts
Practice Your Technical Skills and Prepare To Be Tested
The Salary Discussion

Do share your reviews and tips to prepare for a data science interview.