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There’s no doubting the fact that data is one of the most valuable assets in the world. The market for data scientists, right now, is bigger than ever and is only poised to grow in the coming future. Safely tucked in most of these data scientists’ toolsets, is a powerful, yet intuitive tool that has everything they need – Python.
According to Jean Francois Puget from IBM’s machine learning department, Python is the most popular programming language for machine learning. Its popularity has much to do with its simplicity, vast resources, and an active community, which are its distinguishing features.
Here, we answer why data science using Python is the way to go.
According to Glassdoor, the average salary of a data scientist in the US is $120,000. Many professionals who earn this much or more are well-versed with Python. Learning Data Science using Python training allows candidates to cover over 40 hours of instructor-led sessions with a focus on hands-on learning. The course takes you from beginner through intermediate to advanced concepts in an intuitive way that will help you grasp Python’s concepts. It is offered in online and classroom modes to suit your convenience. The data science using Python course teaches you everything you need for a successful career in data science – right from the fundamentals to advanced concepts.
Here are some reasons why data scientists prefer Python:
Python is simply the best.
Python is known for its simple syntax that makes the use of minimal code possible. It also has an active community dedicated to the development of the language and offers a variety of different libraries that you would need as a data scientist. These are some of the things that make Python the ideal programming language for data science… Read More
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