Title

[2025] Complete Python Bootcamp From Zero to Hero in Python

Learn Python like a Professional Start from the basics and go all the way to creating your own applications

4.10 (259 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
[2025] Complete Python Bootcamp From Zero to Hero in Python
9 416
students
2.5 hours
content
Dec 2024
last update
$19.99
regular price

What you will learn

You will learn how to leverage the power of Python to solve tasks.

You will be able to use Python for your own work problems or personal projects.

Learn to use Object Oriented Programming with classes!

Build a complete understanding of Python from the ground up!

Why take this course?

🌟 [2024] Complete Python Bootcamp From Zero to Hero in Python 🌟

Course Headline:

🎓 Learn Python like a Professional Start from the basics and go all the way to creating your own applications!


Become a Python Programmer and learn one of the employer's most requested skills for 2024! This is the most comprehensive, yet straightforward, course for the Python programming language on Udemy! Whether you have never programmed before 🤯, already know basic syntax, or want to delve into the advanced features of Python, this course is tailor-made for you! In this course, we will teach you Python 3.


Embark on a journey through the world of Python, where every step is accompanied by clear explanations, coding screencasts, and code notebooks to cater to your learning style. Whether you're on Windows, macOS, or Linux, we've got you covered from the very beginning. 🧑‍💻


Here's a glimpse of what you'll cover in this course:

  • Command Line Basics: Navigate and manage your system using the command line.
  • Installing Python: Get Python up and running on your machine with ease.
  • Running Python Code: Learn how to execute Python scripts and understand their output.
  • Strings, Lists, Dictionaries, Tuples, Sets: Master Python's data types and manipulate them effectively.
  • Number Data Types: Work with integers, floats, complex numbers, and more.
  • Print Formatting: Display data in a readable and well-organized manner.
  • Functions: Create reusable blocks of code to perform specific tasks.
  • Scope: Understand where variables are accessible within your Python programs.
  • args/kwargs: Learn how to pass an arbitrary number of arguments into functions.
  • Built-in Functions: Utilize the powerful built-in functions Python offers.
  • Debugging and Error Handling: Master exception handling, debug your code, and make it robust.
  • Modules: Import modules to expand your program's functionality.
  • External Modules: Use third-party modules to add advanced features to your applications.
  • Object Oriented Programming (OOP): Understand the principles of OOP and implement them in Python.
  • Inheritance & Polymorphism: Learn how to create derived classes and use polymorphic methods.
  • File I/O: Read and write files, handle data persistence, and more.
  • Advanced Methods: Explore advanced functionalities like list comprehensions, lambda functions, and generator expressions.
  • Unit Tests: Write tests for your code to ensure it works as intended.
  • And much more! 🚀

Who this course is for:

  • Beginners who have never programmed before. No prior experience? No problem! Start from the fundamentals and build up your skills.
  • Programmers switching languages to Python. If you're familiar with other programming languages, we'll help you translate that knowledge into Python.
  • Intermediate Python programmers who want to level up their skills! Take your Python expertise to the next level and tackle more complex problems.

What will you Learn:

  • You will learn how to leverage the power of Python to solve tasks efficiently.
  • You will be able to use Python for your own work problems or personal projects.
  • Learn to use Python professionally, learning both Python 2 and Python 3!

Join us on this Python adventure and transform your coding skills in 2024! 📚✨

Our review


Overall Course Rating: 4.23

Review Summary:

Pros:

  • Engaging Content: The course provides clear explanations and practical examples that make it easy to understand even complex concepts, as noted by several positive reviews.
  • Relevance for Data Analysts: It is particularly beneficial for individuals with a basic understanding of Python who are looking to enhance their skills in data analysis.
  • Positive Feedback: A data analyst found the course well-matched and essential for their needs, indicating its practical utility in real-world scenarios.
  • High Recommendation: The course received high recommendations from learners who appreciate the clarity of instruction and the quality of examples provided.

Cons:

  • Language Barriers: Some users found the English used in the course to be a bit challenging, which could make understanding some concepts more difficult.
  • Content Quality Issues: There were concerns about the accuracy of certain examples—specifically, a prime number example was noted as incorrect.
  • Limited Interaction Options: Videos occasionally reference comments or subscribing, which may confuse learners as these options are not available within the course platform.
  • Concerns Over Content Origin: One user pointed out that some of the content appears to be repurposed from free YouTube material, raising questions about the originality and value offered by the course.
  • Perceived Basic Level: A user with a higher baseline knowledge of Python found the course to be too elementary for their needs.

Detailed Analysis:

Content Quality: The course is rich in practical examples and clear explanations, which are highly valued by learners. However, there are concerns about the accuracy of some examples and the reuse of free YouTube content, which may affect its perceived value and originality.

Language and Clarity: While the English used in the course is generally sufficient, some users found it a bit hard to understand, suggesting that improvements could be made for better clarity.

Interactivity and Usability: The course could be improved by ensuring that all references to comments or subscribing are updated or removed to avoid confusion for learners who are not interacting with the content in a traditional video format.

Course Level: The course seems to cater well to beginners and those looking to reinforce their foundational Python skills, but may be too basic for more advanced users.

In conclusion, the course is rated highly by most users for its clarity, practical examples, and applicability in data analysis. However, some areas of improvement are identified regarding content quality, language clarity, and usability, which the instructors should consider for future iterations of the course. Despite these issues, it remains a solid choice for Python learners with varying levels of experience.

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Coupons

DateDiscountStatus
27/11/2024100% OFF
expired
4900010
udemy ID
26/09/2022
course created date
05/10/2022
course indexed date
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course submited by