Python 101: Interactively learn how to program with Python 3
This course provides an interactive introduction to Python 3, teaching the fundamentals of programming and helping learners create their own useful programs. ▼
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Course Feature
Cost:
Free Trial
Provider:
Educative
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
❗The content presented here is sourced directly from Educative 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, Python 101: Interactively learn how to program with Python 3, provides an introduction to the basics of Python programming. It covers a subset of Python's Standard Library, intermediate material, and a series of small tutorials. Additionally, the course covers Python packaging and distribution. Participants will gain an understanding of the fundamentals of Python programming and be able to apply them to their own projects.
[Applications]
After completing this course, students should be able to apply their knowledge of Python 3 to create programs and scripts. They should be able to use the Python Standard Library to create more complex programs and scripts. Additionally, they should be able to package and distribute their programs and scripts. Finally, they should be able to use the tutorials to further their understanding of Python 3.
[Career Paths]
1. Python Developer: Python Developers are responsible for writing and testing code, debugging programs and implementing software solutions. They use Python to develop software applications, websites, and other web-based services. Python Developers are in high demand due to the increasing popularity of Python as a programming language. The job outlook for Python Developers is expected to remain strong in the coming years.
2. Data Scientist: Data Scientists use Python to analyze large datasets and uncover insights. They use Python to develop algorithms and models to identify patterns and trends in data. Data Scientists are in high demand due to the increasing need for data-driven decision making. The job outlook for Data Scientists is expected to remain strong in the coming years.
3. Machine Learning Engineer: Machine Learning Engineers use Python to develop and deploy machine learning models. They use Python to develop algorithms and models to identify patterns and trends in data. Machine Learning Engineers are in high demand due to the increasing need for automated decision making. The job outlook for Machine Learning Engineers is expected to remain strong in the coming years.
4. AI Engineer: AI Engineers use Python to develop and deploy Artificial Intelligence (AI) applications. They use Python to develop algorithms and models to identify patterns and trends in data. AI Engineers are in high demand due to the increasing need for automated decision making. The job outlook for AI Engineers is expected to remain strong in the coming years.
[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, software engineering, computer architecture, and operating systems. Students will also learn about developing trends in computer science, such as artificial intelligence, machine learning, and data science.
2. Bachelor of Science in Software Engineering: This degree path focuses on the development of software applications and systems. Students will learn about software design, development, testing, and maintenance, as well as the principles of software engineering. They will also gain an understanding of the latest technologies and trends in software engineering, such as cloud computing, mobile development, and web development.
3. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. Students will learn about data mining, machine learning, and predictive analytics, as well as the principles of data science. They will also gain an understanding of the latest technologies and trends in data science, such as artificial intelligence, natural language processing, and deep learning.
4. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems. Students will learn about artificial intelligence algorithms, robotics, and computer vision, as well as the principles of artificial intelligence. They will also gain an understanding of the latest technologies and trends in artificial intelligence, such as natural language processing, deep learning, and reinforcement learning.
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