In today’s world, Python is the most popular, powerful, and preferred language for general-purpose programming. It can be used to develop both desktop as well as web applications. Scientific, numeric, and other apps can also be developed using Python. This high-level programming language is easy to read and can be accessible to beginners. Currently, there are over 125,000 third-party Python libraries that can be used for anything from Machine Learning to Web Processing to Computational Biology. Data analysis is favoured by its data-focused libraries, such as pandas, NumPy, and matplotlib, which facilitate data processing, manipulation, and visualization. Once you understand Python, you can use those skills to land a wonderful job in the rapidly developing field of data science. The new applications for Machine Learning are increasing the demand for Python programmers every day, adding to your career prospects.

The purpose of this online course is to address these aforementioned needs and develop an understanding of Python language skills. The course is developed for beginners who do not have prior programming experience. All the key fundamental Python concepts are explained in this course as simply as possible. Also, the course presents concepts through extensive Python coding. Two real-world Python applications, namely Exploratory Data Analysis (EDA), and implementation of Artificial Neural Networks (ANNs) have also been demonstrated. Students are encouraged to regenerate the Python codes side-by-side while watching the course videos for better in-depth understanding.