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Why Choose Python Programming for Data Science?

With the rising buzz around AI and machine intelligence, the market is shifting in incredible ways. Data science aids these new technologies by identifying answers to problems and tying together related data for future usage. As technology advances, data science will have a greater impact on the world around us, and in certain cases, it may be our greatest hope for tackling some of the world’s most critical problems.

Why Choose Python for Data Science

Professionals in the field of data science are in high demand. Data science’s importance is fast-growing, as is the case with other subjects that are always evolving. Data science has had an impact on a variety of fields. We definitely can witness the impression in a variety of industries, such as retail, healthcare, and education to name a few. Jobs in this profession are predicted to grow dramatically as firms realise the true potential of data scientists. According to the US Bureau of Labor Statistics, the growing relevance of data science will result in 11.5 million new job openings by 2026.

How much is the Data Scientist’s Salary?

  • The average data scientist salary in the United States is $1,17,212 per year. (Glassdoor.com)
  • In the United Kingdom, the national average salary for a data scientist is 49,089 GBP per year. (Indeed.com)
  • The average salary for a data scientist in India is 10,53,900 INR per year. (Glassdoor.com)

Data Science Course Fee

Data Science is a raging fire with enormous strength and potential to spread and divulge anything. The demand for data scientists is increasing by the day, and there is no disputing that there is fierce competition. To conquer the data science world, you must first learn everything there is to know about data science.

If you are a fresher looking to make a career out of data science or a professional looking to improve your abilities, enrolling in DataMites Data Science Certification Courses is the ideal choice for you. We’ve got you covered!

Data Science Course Fees often range from 398.39 USD to 6639.89 USD (30,000 INR to 5,00,000 INR), depending on the nature of the courses and the institute where you enrol. DataMites Data Science Course Fee is can range from 21,000 INR to 88,000 INR based on the course you choose.

As of March 2022, we find 16,000+ job postings on LinkedIn that demand python skills, and that’s just in India!

What is it about Python that makes it so good for data science?

The question remains, why Python is so popular in the data science world — and how you might use it in your big data and machine learning projects. Python also allows developers to quickly deploy programmes and prototypes, speeding up the development process. If necessary, a project can be translated to more advanced languages such as Java or C once it is on its way to becoming an analytical tool or application.

Extrapolating meaningful information from huge amounts of statistics, registers, and data is what data science is all about. Typically, these data are unsorted and impossible to correlate with any degree of accuracy. Machine learning can integrate diverse datasets, but it necessitates a high level of computing sophistication and capability. Python, as a general-purpose programming language, meets this demand.

Python is popular among newer data scientists because of its ease of use and accessibility. Python is so prevalent that it is the preferred programming language of 48 percent of data scientists with five or fewer years of expertise.

Watch Video for Python Vs R

Python Course Fees

DataMites offers a variety of learning choices, including Exclusive Python Classroom Training, Online Python Courses, and Outstanding Recorded Sessions. The DataMites Python Course Fee in the United States ranges from 133.23 USD to 456.20 USD, depending on your desired learning method. In Europe, the Python Course Fee ranges from 117.88 Euros to 412.60 Euros, whereas, the Python Course Fee in India ranges from INR 10,000 to INR 35,000.

How much does a Python Developer get paid?

  • The Python Developer Salary in the US is $96,890 on a yearly basis. (Glassdoor.com)
  • The Python Developer Salary in Germany, Europe is €56,424 annually.
  • The Python Developer Salary in India is INR 4,55,783 per year. (Glassdoor.com)

Watch Video for Python Vs Java

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Python Vs Ruby

Why Python for Data Science?

  1. Python is easier to learn and more adaptable.
  • Python is a high-level programming language that is free and open-source.
  • Python is a programming language that is interpreted.
  • It has a sizable community.


Python is a tremendously scalable programming language. Python is the most scalable of all the languages available. As a result, Python’s capabilities are expanding.

3. Python has a large number of libraries and frameworks.

Python offers hundreds of different libraries and frameworks as a result of its popularity, which is a terrific addition to your development process. They can easily replace the entire solution and save a lot of manual work. Many of these libraries will be focused on Data Analytics and Machine Learning, which you will find as a Data Scientist. There is also a lot of enthusiasm about Big Data. NumPy, Pandas, SciPy, Matplotlib, Sci-kit Learn, and others are prominent Python libraries.

4. Python makes it possible to create websites.

Learn Python to make your development process as simple as feasible. There are numerous Django and Flask libraries and frameworks that can help you code more efficiently.

5. Python has a sizable user base.

Python’s ecosystem is credited as one of the causes for its meteoric ascent. More and more volunteers are producing data science libraries as Python’s reach expands into the data science community. This, in turn, has paved the path for the development of Python’s most cutting-edge tools and processes.

6. Python’s Job Growth

Python is a one-of-a-kind programming language with explosive development potential and numerous job options for Data Scientists. If you study Python, you can look into a variety of other careers that you might wish to pursue in the future.

7. A sizable salary

The quantity of job listings is frequently the strongest predictor of a language’s demand. Python is the most popular programming language in the world, and it has a sizable market since it is utilized by enterprises all over the world. Python was also at the top of several lists of the most in-demand tech skills among employers.

8. Visualization and graphics

Python has a wide range of visualisation capabilities. The visualisation packages aid in the interpretation of data, the creation of charts and graphical plots, and the creation of web-ready interactive plots.


Python is a necessary foundation for any Data Scientist. There are numerous reasons to use this sophisticated programming language; it is up to you to decide which is the most important. Python should be considered because of its capabilities and continual development, which will enable you to create outstanding products and assist enterprises.

Candidates who are interested in learning Python for Data Science can enrol in DataMites Python for Data Science Training and master the Python programming language in preparation for a career in python and data science. DataMites Python for Data Science Course fee is 303.97 USD (23,000 INR) but if you enrol now, you can get the training at just 234.52 USD (17,745 INR). Our courses are accredited by the world-renowned IABAC, and DataMites is the leading provider of Data Science and AI training.

You can also check Scala vs Python for Apache Spark

About Data Science Team

DataMites Team publishes articles on Data Science, Machine Learning, and Artificial Intelligence periodically. These articles are meant for Data Science aspirants (Beginners) and for those who are experts in the field. It highlights the latest industry trends that will help keep you updated on the job opportunities, salaries and demand statistics for the professionals in the field. You can share your opinion in the comments section. Datamites Institute provides industry-oriented courses on Data Science, Artificial Intelligence and Machine Learning. Some of the courses include Python for data science, Machine learning expert, Artificial Intelligence Expert, Statistics for data science, Artificial Intelligence Engineer, Data Mining, Deep Learning, Tableau Foundation, Time Series Foundation, Model deployment (Flask-API) etc.

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