Object Oriented Programming in Data Science

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Price: 49.99$

What is the course about: The course teaches that part of Object Oriented Programming that is actually needed in Data Science. And we learn how to use it and when.  Because developing programs in Data Science is based on the principles of OOP ( Object Oriented Programming ). We start with classes and dataclasses and we learn how and when to use dataclasses along with custom objects. We also go through lambda functions and use them with lists and dictionaries of custom objects. We go through real-world examples and understand concepts such as metaclasses, superclasses, inheritance and polymorphism. This is a necessary course for building efficient Data Science applications. Who: Senior Research Scientists, part of high-tech projects at the intersection of Academia & Industry, with a focus on software applications for Data Science.  Doctor of Philosophy (Ph. D.) in Analytics & Mathematical Optimization applied to Energy Investments, from Imperial College London, and Masters of Engineering (M. Eng.) in Power Systems and Economics. Important: If you have  questions while taking this course  please send a private message here on Udemy We start from scratch so that you do not need to have done any preparatory work in advance at all.  Just follow what is shown on screen.