Python Foundations: From Zero to Certified Pro [Free, English]

Categories: Python
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About Course

Unlock the power of Python with this comprehensive, beginner-friendly course designed for college students and professionals. Whether you’re preparing for internships, transitioning into tech, or enhancing your career prospects, this free course offers everything you need to succeed. Dive into Python’s fundamentals, master problem-solving techniques, and explore advanced topics like object-oriented programming and algorithm analysis. Upon completion, earn a professional certification and even a Letter of Recommendation (LOR) for outstanding performance—boosting your resume and showcasing your skills. This is your chance to learn one of the most in-demand programming languages, completely free, and open doors to exciting career opportunities.

 
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What Will You Learn?

  • Earn a professional certification upon course completion.
  • Gain hands-on programming experience with real-world examples.
  • Receive a Letter of Recommendation (LOR) for outstanding performance.
  • Master Python, one of the most in-demand programming languages.
  • Learn essential computer science concepts like recursion and algorithm analysis.
  • Build a coding portfolio to showcase your skills to employers.
  • Access advanced topics such as object-oriented programming and simulations.
  • Improve problem-solving and logical thinking skills.
  • Join a community of learners for networking and support.
  • Enjoy a completely free, high-quality education opportunity.

Course Content

Section 1: Foundations of Computer Science and Python
This section introduces the fundamental concepts of computer science and Python programming, providing a solid foundation for beginners.

  • Introduction to CS and Programming Using Python
    01:03:30
  • Basic Python Constructs (Strings, Input/Output, and Branching)
    01:18:58
  • Iteration
    46:42
  • Loops over Strings, Guess-and-Check, and Binary
    01:13:16

Section 2: Numerical Computation and Approximation
This section focuses on working with numerical data, including floating-point operations and approximation techniques.

Section 3: Functions and Abstraction
Delves into modular programming and abstraction through functions, enhancing code reusability and readability.

Section 4: Advanced Programming Techniques
Introduces advanced Python concepts like list comprehension, error handling, and debugging.

Section 5: Data Structures
Focuses on foundational data structures, their behavior, and practical applications.

Section 6: Object-Oriented Programming (OOP)
Provides an introduction to OOP concepts and their application in Python.

Section 7: Algorithm Efficiency and Analysis
Introduces concepts of algorithmic efficiency and complexity analysis for writing optimal code.

Section 8: Algorithms and Visualizations
Covers sorting algorithms and data visualization techniques for problem-solving and presentation.

Section 9: Advanced Topics and Wrap-Up
Explores hashing, simulations, and summarizes key concepts from the course.

Section 10: Object Oriented Programming (OOPS)
Explore the fundamentals of Python Object-Oriented Programming (OOP) to design reusable, efficient, and modular code with classes, objects, inheritance, and more.

Section 11: Advance Python Topics
Dive into advanced Python topics including GUI development with Kivy, robust error handling, web scraping, and other powerful tools to build dynamic, real-world applications.

Project Zone
Learn Python by building practical, real-world projects step by step.

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