Winning at Python: Start Learning Python for FREE
Gain the competitive edge with Winning at Python! Start learning Python for free and develop the most important skill of the decade in an engaging and interactive way. ▼
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Course Feature
Cost:
Free
Provider:
Udemy
Certificate:
No Information
Language:
English
Course Overview
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Updated in [April 29th, 2023]
This course, Winning at Python: Start Learning Python for FREE, provides an introduction to the Python 3 programming language. It is designed to help students gain a better understanding of the language and how to use it professionally. The course covers the basics of Python 3, including variables, data types, functions, and classes. It also covers more advanced topics such as object-oriented programming, web development, and data analysis. By the end of the course, students will have a better understanding of the language and be able to use it to create their own programs.
[Applications]
After completing this course, students can apply their newfound Python knowledge to a variety of tasks. They can use Python to create web applications, automate tasks, create data visualizations, and more. Additionally, they can use Python to develop machine learning models, build artificial intelligence applications, and develop software for the Internet of Things. With the knowledge gained from this course, students can become proficient in Python and use it to create powerful applications.
[Career Paths]
1. Data Scientist: Data Scientists use Python to analyze large datasets and uncover trends and insights. They use a variety of tools and techniques to extract, clean, and process data, and then use statistical methods to interpret the data. Data Scientists are in high demand, and the demand is only increasing as more organizations rely on data-driven decision making.
2. Software Developer: Software Developers use Python to create applications and websites. They use Python to write code, debug, and test applications. Python is a popular language for software development, and the demand for Python developers is growing.
3. Machine Learning Engineer: Machine Learning Engineers use Python to develop and deploy machine learning models. They use Python to build algorithms, train models, and deploy them into production. Machine Learning Engineers are in high demand, and the demand is only increasing as more organizations rely on machine learning to make decisions.
4. AI Engineer: AI Engineers use Python to develop and deploy AI applications. They use Python to build algorithms, train models, and deploy them into production. AI Engineers are in high demand, and the demand is only increasing as more organizations rely on AI to make decisions.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. Students will also learn about the latest trends in technology, such as artificial intelligence, machine learning, and data science. This degree path is ideal for those looking to pursue a career in software development, web development, or data science.
2. Master of Science in Data Science: This degree path focuses on the application of data science principles to solve real-world problems. Students will learn about data mining, machine learning, and predictive analytics, as well as the latest tools and techniques used in data science. This degree path is ideal for those looking to pursue a career in data science, analytics, or artificial intelligence.
3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and the application of artificial intelligence techniques to solve real-world problems. Students will learn about machine learning, natural language processing, and computer vision, as well as the latest tools and techniques used in artificial intelligence. This degree path is ideal for those looking to pursue a career in artificial intelligence, robotics, or machine learning.
4. Doctor of Philosophy in Computer Science: This degree path provides students with an in-depth understanding of computer science fundamentals, including programming, software engineering, and computer architecture. Students will also learn about the latest trends in technology, such as artificial intelligence, machine learning, and data science. This degree path is ideal for those looking to pursue a career in research or academia.
Course Syllabus
Installing Python & Jupyter Basics - Mac OS
Installing Python & Jupyter Basics - Windows
Hello World
Hello World - Practise Assignment
Pros & Cons
Covers what is needed.
Easy to understand.
Good for starting.
Helpful for beginners.
Fun and interactive.
Clear basics.
Not explained thoroughly.
Not 100% comprehensive.
MacBook issues.
Course Provider
Provider Udemy's Stats at AZClass
Discussion and Reviews
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