Learn How to Learn Coding Faster: Object-Oriented Programming in Python
Learn how to level up your coding skills with this online course on Object-Oriented Programming (OOP) in Python. We'll cover the paradigm of thinking, how to write your first class, and how to keep code readable, maintainable, and flexible. Plus, you'll get 1 hour of content with bite-sized, 5-minute lessons and 30 minutes of bonus content. Get ready to write and read code using OOP and level up your code with a new tool for organizing your code. ▼
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Course Feature
Cost:
Free Trial
Provider:
Skillshare
Certificate:
No Information
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Skillshare platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [April 29th, 2023]
This course provides an introduction to Object-Oriented Programming (OOP) in Python. Students will learn the paradigm of thinking for OOP, as well as how to write their first class. Through a simplistic ice cream truck simulator and a minimal simulation for light switches in a home, students will gain an understanding of how to keep code readable, maintainable, and flexible. The course is highly interactive, with 1 hour of content and 30 minutes of bonus content. By the end of the course, students will be prepared to write and read code using OOP. Acknowledgments are given to the creators on Pexels for the B-roll in the introductory video.
[Applications]
Those who have taken this course on Learn How to Learn Coding Faster: Object-Oriented Programming in Python will be able to apply their knowledge to creative coding, data science, machine learning, database design, analytics, and computer vision. They will be able to write and read code using Object-Oriented Programming, and level up their code with a new tool for organizing their code.
[Career Paths]
Three job position paths recommended to learners of this course are:
1. Software Developer: Software developers create and maintain software applications and systems. They use object-oriented programming to design, develop, and test software applications. With the increasing demand for software applications, software developers are in high demand and the job outlook is expected to grow by 22% from 2019 to 2029.
2. Web Developer: Web developers use object-oriented programming to create websites and web applications. They are responsible for coding, designing, and maintaining websites. With the increasing demand for web applications, web developers are in high demand and the job outlook is expected to grow by 8% from 2019 to 2029.
3. Mobile App Developer: Mobile app developers use object-oriented programming to create mobile applications for smartphones and tablets. They are responsible for coding, designing, and maintaining mobile applications. With the increasing demand for mobile applications, mobile app developers are in high demand and the job outlook is expected to grow by 31% from 2019 to 2029.
[Education Paths]
Three degree paths that are recommended to learners of this course are:
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, such as programming languages, algorithms, data structures, operating systems, and software engineering. It also covers topics such as artificial intelligence, machine learning, and computer graphics. This degree path is becoming increasingly popular as technology advances and more businesses rely on computer science to stay competitive.
2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. It covers topics such as data mining, machine learning, predictive analytics, and natural language processing. This degree path is becoming increasingly popular as businesses look to leverage data to gain insights and make better decisions.
3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems that can learn and adapt to their environment. It covers topics such as machine learning, natural language processing, computer vision, and robotics. This degree path is becoming increasingly popular as businesses look to leverage AI to automate processes and gain a competitive edge.
Pros & Cons
Clear and easy to follow
Good visualizations
Good teacher
Compact crash course
Helpful
No practices/quizzes
.5x video speed needed
Course Provider
Provider Skillshare's Stats at AZClass
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