Python For Beginners

This course specifically created for Data Science / AI / ML / DL. It covers BASICS PYTHON ONLY
4.54 (2794 reviews)
Udemy
platform
English
language
Programming Languages
category
Python For Beginners
92โ€ฏ557
students
4 hours
content
Nov 2022
last update
FREE
regular price

Why take this course?

๐Ÿš€ Course Title: Python For Beginners: A Gateway to Data Science / AI / ML / DL ๐ŸŽ“ Headline: Master the Fundamentals of Python for Your Future in Data Science and Beyond!


Unlock Your Potential with Python! ๐Ÿ

This course has been meticulously tailored for AI/Data Science/Machine Learning/Deep Learning enthusiasts, providing you with a comprehensive understanding of the foundational aspects of Python. Whether you're aspiring to venture into the realms of Automation, Chatbots, Web Development, or beyond, this course is your stepping stone! ๐ŸŒฑ

Why Learn Python? ๐Ÿค”

  1. Pythonโ€™s Popularity ๐ŸŒŸ

    • Python's simplicity and ease of learning make it an industry favorite and a top-ranking programming language. Its versatility and readability are unparalleled, making it a go-to for many developers.
  2. High Salary Potential ๐Ÿ’ฐ

    • As a Python programmer, you can command a competitive salary. According to Gooroo and Indeed, the average Python developer salary in the US is approximately $110,021 and $123,743 per year!
  3. Data Science Powerhouse ๐Ÿ“Š

    • Python stands out with its vast array of scientific packages that excel in data visualization, machine learning, natural language processing, and complex data analysis. It's a robust alternative to commercial packages like MatLab.
  4. Automation Simplified ๐Ÿค–

    • In the IT industry, Python paired with the Robot framework is revolutionizing automation, offering a simpler and more accessible roadmap for those new to programming.
  5. Big Data Integration ๐Ÿ’พ

    • With Pydoop, you can write MapReduce programs in Python, directly interacting with Hadoop's HDFS cluster. Its rich API and easy-to-use features make it a game-changer for Big Data enthusiasts.
  6. Chatbot Creation ๐Ÿ—ฃ๏ธ

    • Python, combined with libraries like NLTK, allows for the development of sophisticated chatbots capable of processing natural language and assisting users in various tasks.
  7. Web Development Made Easy ๐ŸŒ

    • Frameworks such as Django, Flask, Web2Py, Turbo Gears provide a solid foundation for developing websites using Python, making it a versatile tool for web developers.
  8. Computer Graphics Innovator ๐Ÿ–ฅ๏ธ

    • With the Python Computer Graphics Kit, you can tackle 3D data for visualization, photorealistic images, Virtual Reality, or even gaming with ease.
  9. Game Development with Python ๐ŸŽฎ

    • Libraries like PyGame, Pyglet, and PyOpenGL enable rapid game prototyping and make it accessible for beginners to create simple games.

๐Ÿš€ Course Highlights:

  • Comprehensive coverage of Python Basics
  • A strong foundation for advanced Python libraries such as NumPy, Pandas, and Matplotlib
  • Diverse applications in various fields like Data Science, Automation, Chatbots, Web Development, Computer Graphics, and Game Development
  • High demand and salary potential
  • No prior programming knowledge required!

Enroll now to embark on your Python learning journey and unlock a world of possibilities! ๐Ÿš€๐Ÿ’ป

Loading charts...

Comidoc Review

Our Verdict

Python for Beginners offers a comprehensive overview of Python basics essential for programming. While the course falls short on real-life data handling examples and clarity regarding its connection to Data Science, it compensates with patient instructors and well-explained content. This is particularly useful for learners new to programming or Python, who can benefit from additional practice and solidifying their understanding of fundamental concepts.

What We Liked

  • Covers Python basics thoroughly, making it a great introduction for beginners
  • Instructor explains concepts clearly with patient and easy-to-understand explanations
  • Well-prepared content helps students grasp fundamental concepts
  • Provides good examples to practice, allowing consolidation of new skills

Potential Drawbacks

  • Some sections seem rushed, especially when transitioning from basic to more advanced topics
  • A few students express disappointment over the lack of real data handling for Data Science
  • The name of the course can be misleading, as it focuses on Python basics rather than its applications in Data Science
  • Occasional issues with accents may pose challenges to some learners

Related Topics

2314160
udemy ID
09/04/2019
course created date
26/05/2019
course indexed date
Bot
course submited by