Udemy

Learn Python in 250 Minutes

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  • 48,946 Students
  • Updated 1/2024
4.4
(1,777 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 10 Minute(s)
Language
English
Taught by
Prof. Ryan Ahmed, Ph.D., MBA | 500,000+ Students | Best-Selling Instructor, Mitchell Bouchard, Stemplicity Inc.
Rating
4.4
(1,777 Ratings)
3 views

Course Overview

Learn Python in 250 Minutes

Master Python Programming Fundamentals and Build 3 Practical Projects From Scratch

# This course is for the absolute beginners who want to learn the fundamentals of python programming language.

# This course will teach you the basics of programming in a practical, easy and fun way!

# Here are 5 reasons to learn Python right now!

  • (1) Easy to learn: Python is the easiest programming language to learn. In fact, at the end of this single course, you’ll be able to master Python and its applications regardless of your previous experience with programming.

  • (2) High Salary: Did you know that the average Python programmer in the U.S. makes approximately $116 thousand dollars a year? With “Python 3 Beginning to Pro Masterclass” you’re setting yourself for up for increased earning potential that can only rise from here.

  • (3) Scalability: It’s true, Python is easy to learn. But it’s also an extremely powerful language that can help you create top-tier apps. In fact, Google, Instagram, YouTube, and Spotify are all built using Python.

  • (4) Versatility: What’s more, Python is by far the most versatile programming language in the world today! From web development to data science, machine learning, computer vision, data analysis and visualization, scripting, gaming, and more, Python has the potential to deliver growth to any industry.

  • (5) Future-proof Career:  The high demand and low supply of Python developers make it the ideal programming language to learn today. Whether you’re eyeing a career in machine learning or artificial intelligence, learning Python is an invaluable investment in your career.


Course Content

  • 7 section(s)
  • 27 lecture(s)
  • Section 1 Introduction and Welcome Message
  • Section 2 Installation and Setup [Optional|Skip if you are familiar with Jupyter Notebook]
  • Section 3 Variables and Datatypes
  • Section 4 Comparison operators, Logical operators and Conditional Statements
  • Section 5 Loops
  • Section 6 Projects
  • Section 7 BONUS LECTURE

What You’ll Learn

  • Variables and data types & Comparison operators
  • For and while loops & Functions
  • Logical Operators & Conditional statements (If-else)
  • Fundamentals of Python Programming


Reviews

  • S
    Sydney Peter Riekert
    5.0

    Excellent for fudamental

  • W
    Wendy
    2.0

    Not a good match for my brain. The exercises include details not covered in the lectures and link to outside resources that aren't very useful. But I did learn that Jupyter is easier than Spyder for my style of learning.

  • A
    Ali Aydoğan
    4.0

    Positives: The course starts with very basic concepts, which are taught pretty simple. Exercises after each video make it possible to practice what is learnt in that video. Negatives: Some of the instructions in exercises are unclear. I didn't understand what to do. For sessions 4 and 5, some exercises could be added. Overall, I would recommend this course for the beginners.

  • S
    Sruthy mv
    5.0

    This course has amazing exercise questions and examples, makes us research more to answer the questions.

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