Learn Python in 250 Minutes

Master Python Programming Fundamentals and Build 3 Practical Projects From Scratch

4.49 (1767 reviews)

Udemy

platform

English

language

Programming Languages

What you will learn

Variables and data types & Comparison operators

For and while loops & Functions

Logical Operators & Conditional statements (If-else)

Fundamentals of Python Programming

Course Gallery

Learn Python in 250 Minutes – Screenshot 1 — Screenshot 1 – Learn Python in 250 Minutes

Learn Python in 250 Minutes – Screenshot 2 — Screenshot 2 – Learn Python in 250 Minutes

Learn Python in 250 Minutes – Screenshot 3 — Screenshot 3 – Learn Python in 250 Minutes

Learn Python in 250 Minutes – Screenshot 4 — Screenshot 4 – Learn Python in 250 Minutes

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

The 'Master Python Programming Fundamentals' course serves as a comprehensive introduction to Python, offering beginners well-structured lessons and an engaging learning experience. Despite minor drawbacks such as limited guidance on debugging strategies or setup instructions for specific resources, this Udemy course provides students with solid foundations in programming concepts and project application that will undoubtedly empower their future endeavors.

What We Liked

Broad coverage of Python fundamentals, tackling key topics like data structures, functions, modules, exceptions, and more.
Rich set of exercises with varied complexity that reinforce learned concepts and illustrate real-world application scenarios.
Instructor adopts a clear, concise, and engaging teaching style that caters to absolute beginners while consistently maintaining an upbeat tone.
The course stays relevant and fresh by incorporating updates since its initial release in 2019, ensuring students' knowledge remains current with recent developments

Potential Drawbacks

Insufficient focus on debugging strategies resulting in fewer practice examples to sharpen problem-solving skills and potentially hindering learners' progress.
Occasional unclear instructions or ambiguous prompts within exercises making it challenging for beginners to follow along without prior programming knowledge.
Sparse coverage of advanced topics such as web development, data analysis, machine learning, and game development resulting in limited guidance for those wishing to specialize.
Some resources indicated during the course like Anaconda or Jupyter Notebook require additional installation efforts without sufficient setup instructions provided.