The wide community of Python users have created quite a few relevant and useful tools specifically for Data Science and Analysis. This has made analyzing, managing, or playing around with data, as easy as ever.
This course revolves around providing you with hands-on knowledge and practical experience with data structures, arrays, Python lists, functions, control flow etc. By the end of this course, you will have developed an aptitude for using Python with Data Science tasks and applications!
Why use Python for Data Science?
The easy-to-understand syntax of Python makes even the complex code simple and easy to write and read. Python works like a charm while implementing algorithms.
SciPy, an open-source Python library, is specifically used for scientific and technical computing. The library includes modules for linear algebra, integration, interpolation, signal and image processing among many others.Python facilitates easy integration of data analysis tasks with web applications.
Why must you learn Python for Web Application?
The flexibility of Python makes it easy to learn and use.
The demand for Python in Data Science has considerably grown in recent times and the trend is here to stay!
The professionals and developers who want to make a mark for themselves in the field of Data Science are all using Python for data analysis and other applications.
You will also learn to use NumPy and pandas that contribute to your technical expertise.