Python Programming
This online course on Python Programming is perfect for anyone looking to learn the basics of the language. It covers topics such as Python data types, conditional statements, loops, modules, and graphic drawing. With this course, you'll be able to write your own Python programs and understand the fundamentals of the language. Sign up today and start your journey to becoming a Python expert! ▼
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Course Feature
Cost:
Free
Provider:
Udemy
Certificate:
No Information
Language:
English
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 provides an introduction to Python programming. Students will learn about Python data types, conditional statements, loops, modules, and graphic drawing. By the end of the course, students will have a better understanding of the fundamentals of Python programming and be able to create basic programs.
[Applications]
After completing this course, students can apply their knowledge of Python programming to create applications such as web applications, data analysis, machine learning, and artificial intelligence. They can also use Python to develop graphical user interfaces, create games, and develop software for the Internet of Things. Additionally, they can use Python to develop scripts for automation and data visualization.
[Career Paths]
1. Python Developer: Python Developers are responsible for writing and testing code, debugging programs and integrating applications with third-party web services. They also develop back-end components, connect applications with other web services, and support front-end developers by integrating their work with the Python application. The demand for Python Developers is increasing as more companies are using Python for their web applications and data analysis.
2. Data Scientist: Data Scientists use Python to analyze large datasets and uncover patterns and trends. They use Python to develop algorithms and models to predict outcomes and make decisions. Data Scientists are in high demand as companies are increasingly relying on data-driven decisions.
3. Machine Learning Engineer: Machine Learning Engineers use Python to develop and deploy machine learning models. They use Python to build and train models, optimize algorithms, and deploy models into production. Machine Learning Engineers are in high demand as companies are increasingly relying on machine learning to automate processes and make decisions.
4. AI Engineer: AI Engineers use Python to develop and deploy AI applications. They use Python to build and train models, optimize algorithms, and deploy models into production. AI Engineers are in high demand as companies are increasingly relying on AI to automate processes and 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 languages, algorithms, data structures, operating systems, and software engineering. Students will also learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing.
2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. Students will learn about data mining, machine learning, predictive analytics, and other data-driven methods. They will also gain experience in programming languages such as Python, R, and SQL.
3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and their applications. Students will learn about the fundamentals of artificial intelligence, including machine learning, natural language processing, and robotics. They will also gain experience in programming languages such as Python, C++, and Java.
4. Doctor of Philosophy in Computer Science: This degree path provides students with an in-depth understanding of computer science and its applications. Students will learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing. They will also gain experience in programming languages such as Python, C++, and Java.
Course Syllabus
Print Statement
Python Numbers
Division, Floor Division, Truncation in Python
Number Comparison in Python
Bitwise operations in Python programming
Pros & Cons
Not necessary to pause video
interactive
simple.
Poor audio quality.
Course Provider
Provider Udemy's Stats at AZClass
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