Python For Beginners

This course specifically created for Data Science / AI / ML / DL. It covers BASICS PYTHON ONLY
4.43 (2771 reviews)
Udemy
platform
English
language
Programming Languages
category
Python For Beginners
92 125
students
4 hours
content
Nov 2022
last update
FREE
regular price

Why take this course?

🚀 Course Title: Python For Beginners: A Gateway to Data Science / AI / ML / DL 🎓 Headline: Master the Fundamentals of Python for Your Future in Data Science and Beyond!


Unlock Your Potential with Python! 🐍

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! 🌱

Why Learn Python? 🤔

  1. Python’s Popularity 🌟

    • 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 💰

    • 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 📊

    • 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 🤖

    • 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 💾

    • 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 🗣️

    • 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 🌐

    • 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 🖥️

    • 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 🎮

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

🚀 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! 🚀💻

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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