Python 课程可以帮助您学习如何编写用于数据分析、自动化、网络开发和其他实际应用的代码。

您将获得的技能: JSON, Pandas(Python 软件包), 数据操作, 数据处理, 应用编程接口 (API), 自动化, 网页抓取, NumPy, 数据分析, 计算机编程, 编程原则, 面向对象编程(OOP), Python 程序设计, 脚本, 数据结构, 还原式 API, Jupyter, 数据导入/导出
初级 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: JSON, 交互式数据可视化, 数据收集, 数据清理, 数据处理, 网页抓取, 网络服务, 关系数据库, 计算机编程, 编程原则, SQL, 可扩展标记语言(XML), 数据可视化软件, Python 程序设计, Network Protocol(网络协议, 数据可视化, 还原式 API, 数据库设计, 数据结构, 数据库
攻读学位
初级 · 专项课程 · 3-6 个月

您将获得的技能: Software Installation, Programming Principles, Data Validation, Scripting Languages, Python Programming, Program Development, Scripting, Computational Thinking, Development Environment, Data Processing, Computer Programming, Algorithms, Debugging
混合 · 课程 · 1-4 周

您将获得的技能: Programming Principles, Computer Programming, Software Design
中级 · 课程 · 1-3 个月

您将获得的技能: Scripting, Python Programming, Computer Programming, Computational Thinking, Data Structures, Integrated Development Environments, Debugging, Development Environment
初级 · 课程 · 1-3 个月

IBM
您将获得的技能: 数据驱动的决策制定, 数据整理, 数据操作, Matplotlib, 数据清理, 数据转换, 回归分析, 数据分析, Pandas(Python 软件包), NumPy, 预测建模, Python 程序设计, 统计分析, 功能工程, 数据可视化, 数据导入/导出, 数据管道, Scikit-learn (机器学习库), 探索性数据分析
中级 · 课程 · 1-3 个月
University of Michigan
您将获得的技能: 开发环境, 计算机编程, 软件安装, 计算思维, 编程原则, Python 程序设计
初级 · 课程 · 1-3 个月

Red Hat
您将获得的技能: Object Oriented Programming (OOP), JSON, Python Programming, Debugging, Data Structures, Red Hat Enterprise Linux, Programming Principles, Scripting, Integrated Development Environments, Development Environment, Text Mining, File Management, Software Installation
中级 · 课程 · 3-6 个月

Microsoft
您将获得的技能: Web Scraping, Data Structures, Git (Version Control System), Generative AI, Version Control, Matplotlib, Plotly, DevOps, Agile Methodology, Web Development, Data Ethics, Flask (Web Framework), Data Visualization, Scripting, GitHub, Debugging, Data Cleansing, Data Analysis, Automation, Cloud Computing
初级 · 专业证书 · 3-6 个月

Meta
您将获得的技能: 开发环境, Algorithm, 面向对象编程(OOP), 软件测试, 集成开发环境, 单元测试, 云托管, 调试, 计算机编程, 测试驱动开发(TDD), Python 程序设计, Django (网络框架), 数据结构
初级 · 课程 · 1-3 个月

您将获得的技能: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging
高级设置 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: 脚本语言, 计算机编程, 调试, 编程原则, Python 程序设计, 数据结构, 伪代码, 计算机图形学
初级 · 课程 · 1-4 周
Python is a versatile programming language known for its readability and simplicity. It is widely used in various fields, including web development, data analysis, artificial intelligence, and scientific computing. Its importance lies in its ability to empower individuals and organizations to automate tasks, analyze data, and create applications efficiently. As technology continues to evolve, Python remains a crucial skill for anyone looking to thrive in the digital landscape.
With Python skills, you can pursue various job roles, including software developer, data analyst, data scientist, machine learning engineer, and web developer. These positions are in high demand across industries, as companies seek professionals who can leverage Python for data-driven decision-making and automation. Additionally, roles in cybersecurity and artificial intelligence are increasingly looking for candidates with Python expertise.
To learn Python effectively, you should focus on several key skills. Start with the basics of programming, including syntax, data types, and control structures. Understanding libraries and frameworks, such as Pandas for data manipulation and Flask for web development, is also essential. Additionally, familiarity with version control systems like Git and knowledge of databases can enhance your Python proficiency.
There are many excellent online Python courses available. For beginners, the BiteSize Python for Absolute Beginners Specialization offers a gentle introduction. For those looking to advance their skills, the AI and Machine Learning Essentials with Python Specialization provides a solid foundation in applying Python to AI. Additionally, the Data Analysis with Python Specialization is great for those interested in data science.
Yes. You can start learning python on Coursera for free in two ways:
If you want to keep learning, earn a certificate in python, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
To learn Python, begin by choosing a structured course or specialization that matches your skill level. Dedicate time to practice coding regularly, as hands-on experience is crucial. Utilize online resources, such as forums and coding communities, to seek help and collaborate with others. Finally, work on personal projects to apply what you've learned and reinforce your skills.
Typical topics covered in Python courses include basic syntax, data structures (like lists and dictionaries), control flow (if statements, loops), functions, and modules. Advanced courses may explore object-oriented programming, web development frameworks, data analysis libraries, and machine learning techniques. This comprehensive curriculum ensures you gain a well-rounded understanding of Python.
For training and upskilling employees, the Google IT Automation with Python Professional Certificate is an excellent choice, as it focuses on practical skills for IT professionals. Additionally, the Microsoft Python Development Professional Certificate provides a robust foundation for those looking to enhance their programming capabilities in a corporate environment.