Udemy

Python Bootcamp: Zero to Hero

立即報名
  • 165 名學生
  • 更新於 6/2025
4.8
(25 個評分)
  • 提示:
  • 透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期*
全年招生
課程級別
學習模式
修業期
2 小時 46 分鐘
教學語言
英語
授課導師
RPATech - Automating Intelligence, Aahana Singh
評分
4.8
(25 個評分)
課程連結
*提示: 以上時間表僅供參考,以機構網站為準。

課程簡介

Python Bootcamp: Zero to Hero

Learn Python from Scratch - Master Data Handling, Automation, and Visualization with Real-World Projects

How do you go from zero Python experience to confidently solving real-world problems with code?
Welcome to Python Bootcamp: Zero to Hero - your complete, hands-on journey into one of the most powerful and versatile programming languages in the world.

This course is designed for a diverse range of learners, including:

  • Students: Learn programming fundamentals and prepare for technical careers.

  • Career Switchers: Build in-demand Python skills for data, development, and automation roles.

  • Working Professionals: Automate tasks, analyze data, and boost productivity using Python.

  • Entrepreneurs & Analysts: Gain the tools to clean, process, and visualize data with ease.

  • Developers: Strengthen your Python foundations and master libraries like Pandas, NumPy, and Matplotlib.

  • Anyone Curious About Coding: Get started with a beginner-friendly path and build real coding confidence.

Here’s what you’ll explore:

  • Python Programming Fundamentals
    Master variables, control flow, functions, and object-oriented programming - all from scratch.

  • File I/O, Regex, and Error Handling
    Read and write files, validate text, and handle exceptions the right way.

  • Automation with Python Scripts
    Automate everyday tasks and workflows using built-in modules and custom scripts.

  • Working with Data
    Use Pandas and NumPy to load, clean, transform, and analyze real-world datasets.

  • Data Visualization
    Turn raw data into meaningful charts using Matplotlib and Seaborn.

  • Web Automation
    Control your browser with Selenium to automate repetitive online tasks.

  • Capstone Project
    Apply everything you’ve learned to build a complete data pipeline - from data cleaning to insight visualization.

Whether you're looking to launch your tech career, automate your work, or dive into data - this course will give you the confidence and skills to start building right away.

Join us now and start writing code that solves real problems. Your Python journey starts here.

課程章節

  • 10 個章節
  • 61 堂課
  • 第 1 章 Introduction, Setup & Hello World
  • 第 2 章 Variables, Data Types & Operators
  • 第 3 章 Control Flow & Debugging
  • 第 4 章 Functions, Nested Functions & Pass Keyword
  • 第 5 章 OOP Essentials
  • 第 6 章 Data Structures in Depth
  • 第 7 章 File I/O, Error Handling & Regex
  • 第 8 章 Automation & Scripting
  • 第 9 章 Data Handling with Pandas
  • 第 10 章 Numerical Computing with NumPy

課程內容

  • Understand Python syntax, control flow, and debugging techniques
  • Work with Python’s core data types, structures, functions, and comprehensions
  • Apply object-oriented programming to build modular and reusable code
  • Perform file I/O operations, handle exceptions, and extract structured data using regular expressions
  • Use Python libraries like os, shutil, pandas, numpy, matplotlib, and seaborn for automation and data analysis
  • Analyze, clean, and manipulate datasets using Pandas and NumPy
  • Create meaningful data visualizations to communicate insights
  • Automate web tasks and perform scraping using Selenium
  • Build and submit a complete data science pipeline project


評價

  • A
    Alok Mani
    5.0

    Good start so far

  • M
    Mauro César Bento Júnior
    2.5

    The pace is too fast overall, making it difficult to learn effectively.

  • S
    Sibani Sekhar Sahoo
    5.0

    This Course is a get one to get started on python. As someone with a non-coding background, the concepts and steps were so well explained that I could understand and implement it.

  • S
    Sambidha Badholiya
    5.0

    Amazing Course!

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