Learn Python 3 From Scratch
This free course provides a comprehensive introduction to Python 3, perfect for those with no prior programming experience. Learn the fundamentals of Python 3 from the ground up. ▼
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Course Feature
Cost:
Free
Provider:
Udemy
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
❗The content presented here is sourced directly from Udemy 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, Learn Python 3 From Scratch, provides a comprehensive overview of the Python 3 programming language. Upon completion, students will have a complete understanding of all programming essentials, and will be able to develop good, generic code. Additionally, they will be able to make a slew of easy tasks. After completing this course, students can claim on their resume that they are proficient in all programming essentials, and will be able to enrol in advanced classes such as OOP and Data Structures and Algorithms.
[Applications]
After completing this course, the student can apply their knowledge to develop applications such as web development, game development, data analysis, and machine learning. They can also use their knowledge to create scripts to automate tasks, create graphical user interfaces, and develop software. Additionally, they can use their knowledge to create and maintain databases, develop mobile applications, and create artificial intelligence algorithms.
[Career Paths]
1. Software Developer: Software developers are responsible for designing, developing, and testing software applications. They use programming languages such as Python to create software that meets customer needs. With the increasing demand for software applications, software developers are in high demand and the job outlook is expected to grow by 21% from 2019 to 2029.
2. Data Scientist: Data scientists use programming languages such as Python to analyze large datasets and uncover insights. They use their findings to inform decisions and create solutions for businesses. With the increasing demand for data-driven decisions, data scientists are in high demand and the job outlook is expected to grow by 16% from 2019 to 2029.
3. Web Developer: Web developers use programming languages such as Python to create websites and web applications. They use their coding skills to create user-friendly websites and applications that meet customer needs. 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.
4. Machine Learning Engineer: Machine learning engineers use programming languages such as Python to develop machine learning models. They use their coding skills to create models that can learn from data and make predictions. With the increasing demand for machine learning applications, machine learning engineers are in high demand and the job outlook is expected to grow by 44% from 2019 to 2029.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides a comprehensive overview of computer science, including programming, software engineering, and computer systems. It also covers topics such as artificial intelligence, machine learning, and data science. With the increasing demand for computer science professionals, this degree path is becoming increasingly popular.
2. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. It covers topics such as data mining, machine learning, and predictive analytics. With the increasing demand for data scientists, this degree path is becoming increasingly popular.
3. Bachelor of Science in Software Engineering: This degree path focuses on the development of software applications. It covers topics such as software design, software development, and software testing. With the increasing demand for software engineers, this degree path is becoming increasingly popular.
4. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems. It covers topics such as machine learning, natural language processing, and computer vision. With the increasing demand for AI professionals, this degree path is becoming increasingly popular.
Pros & Cons
Clear objectives and easy to follow.
Good starting point for beginners.
Detailed explanation.
Fast speaking and hard to understand.
Poor pronunciation.
Lack of practice.
Course Provider
Provider Udemy's Stats at AZClass
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