Object Oriented Programming that appears in Data Science
Object Oriented Programming that appears in Data Science
In this tutorial, you'll learn about Python object-oriented programming (OOP) and how to it relates to the domain of data science.
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What you'll learn
- Exactly the Object Oriented Programming needed for Data Science Software
- Build the data structures actually needed in practice
- Learn inheritance effectively
- Learn how to use Polymorphism
- Learn the difference between Superclasses and Metaclasses
- Learn how to use Metaclasses in practice
- Learn about Dataclasses!
What is the course about: Object Oriented Programming that appears in Data Science
A program involves reading input data and then modeling and solving the real-world optimization mode. In addition, it involves OOP (object oriented programming) in order to store and process the data that we read from the input, in a way that the model can read.
There are no prerequisites; Every topic is analyzed in depth so you can feel confident about what you learn.
Who:
- I am a research fellow and I lead industry projects related to energy investments using mathematical optimization and data science. Specialized in the Data Science aspect of the Green Energy transition, focused on algorithmic design and optimization methods, using economic principles.
- Doctor of Philosophy (Ph.D.) in Analytics & Mathematical Optimization applied to Energy Investments, from Imperial College London, and Master of Engineering (M. Eng.) degree in Power System Analysis (Electricity) and Economics.
Important:
- No prerequisites and no experience are required.
- Every detail is explained, so that you won't have to search online, or guess. In the end, you will feel confident in your knowledge and skills.
- 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, because we go slowly and understand everything in detail.
