Python for Absolute Beginners | Python Beginner to Pro
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Unclaimed ProfileAspiring programmers looking to master Python from scratch will find a comprehensive and structured path in this course created by 365 Careers. Tailored specifically for absolute beginners, the curriculum systematically bridges the gap between basic syntax and professional-grade development. Learners begin with foundational concepts, including installing Python, working with Jupyter Notebooks, and mastering essential data structures like strings, lists, and dictionaries. Unlike many introductory bootcamps, this course dives deeper into crucial industry practices, teaching students how to manage virtual environments and utilize Git and GitHub for version control. As students progress, they explore object-oriented programming (OOP), error handling, and specialized libraries such as Pandas and Matplotlib for data science. The learning journey culminates in an exciting computer vision capstone project where students build their own image recognition system. This hands-on approach ensures that learners do not just memorize syntax but actually learn to think computationally, preparing them for careers in data science, web development, and artificial intelligence.
About the creator
365 Careers
View full profileData Science & Finance · Sofia, Bulgaria
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365 Careers is a premier educational provider specializing in finance, data science, and emerging artificial intelligence technologies. Founded by industry veterans with deep corporate roots—including professional tenures at prestigious global firms like PwC, Coca-Cola European Partners, and Infineon Technologies—365 Careers bridges the gap between academic theory and real-world execution. As the co-founders of the widely acclaimed 365 Data Science platform, the team brings a structured, highly analytical pedagogical framework to every course they design. Their expansive portfolio on AllPros covers foundational corporate strategies, comprehensive CFA preparation, practical financial analysis, and cutting-edge artificial intelligence, including agentic AI and machine learning bootcamps.…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Go from Python beginner to Python proficiency. You will become a confident Python programmer with a good knowledge of the foundations and their applications
- This is a hands on course with numerous coding examples and challenges at the end of each section. This is very important as you learn Python best by doing it
- Acquire the pre-requisite Python skills to work with Python in fields such as Data Science, Machine Learning, Artificial Intelligence and Web Development
- Install Python and write your first program
- How to use basic Python structures: strings, lists, and dictionaries
- How to use a Jupyter Notebook and how to work with .py files
- Create and use functions and Lambdas
- Understand what classes are and how they relate to objects
- Learn to think computationally
- Handle Exceptions
- Interesting and useful modules e.g. the datetime and Collections module
- Use of Git and Github: essential skills for all professional programmers
- Work with virtual environments in Python. An essential skill which is often missed from other courses.
- Introduction to the essential data science libraries of matplotlib and Pandas
- You will work on a big capstone project related to computer vision where you'll build your own image recognition system
- All the concepts are broken down into simple steps
Best For
- Absolute beginners with no prior coding experience who want a structured path into programming.
- Aspiring data scientists or developers looking to build a strong foundation in Python syntax and libraries.
- Individuals who prefer a hands-on learning style through coding exercises and real-world capstone projects.
- Students seeking to learn professional industry workflows like Git, GitHub, and virtual environments.
Not For
- Experienced software engineers who already have a strong command of Python and its core libraries.
- Learners looking exclusively for advanced, high-level theory without practical implementation.
- Those who require a course focused solely on one specific niche, such as deep-dive Django web development or advanced neural networks.
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