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所在平台: Udemy |
课程主页: https://www.udemy.com/course/base-python-for-data-analytics/
课程评论：没有评论
课程名称：基础Python数据分析 课程概述： 本课程旨在帮助希望真正学习Python并建立数据分析坚实基础的学员。适合那些喜欢通过解决问题来学习，而不仅仅是记忆语法的人。课程专注于基础Python概念，而不依赖于如NumPy、Pandas或Matplotlib等库。如果您在寻找快捷的证书获取方式或速成解决方案，这可能并不是合适的选择。但如果您想在Python方面培养真实的技能和信心，这里正是您所需要的地方！ 课程亮点： - 提供570多个练习题，包括独立练习和项目，以应用您的Python技能。 - Python是当前数据分析、机器学习及自动化领域中使用最广泛的编程语言之一。 课程内容包括： - Python语法、变量和数据类型 - 列表、元组、字典和集合的使用 - 使用if-else语句和循环控制程序流程 - 编写函数及理解函数参数 - 面向对象编程（OOP）的入门，包括类和对象 - 编写清晰高效Python代码的最佳实践 课程结构： 1. Python简介 - 为什么选择Python？安装和设置（Anaconda & Jupyter Notebook） 2. Python基础 - 变量、数据类型、类型转换、运算符和表达式 3. 数据结构 - 列表、元组、字典、集合及其应用场景 4. 控制流程 - if-else条件、for循环、while循环及迭代技巧 5. 函数与模块化编程 - 编写可重用的函数、函数参数和lambda函数 6. 面向对象编程（OOP） - 理解类、对象、方法及基本OOP概念 7. 实战编码练习 - 通过现实案例和挑战应用您的技能 本课程面向完全初学者，无需任何编程经验。到课程结束时，您将对Python基础有深入了解，为进一步学习数据分析和自动化打下坚实基础。立即加入，开启您的Python学习旅程！
Who Should NOT Take This Course?This course is designed for those who want to truly learn Python and build a strong foundation for data analytics-not just memorize syntax.If you enjoy learning by solving problems rather than just copying and pasting code, you'll benefit the most.This course focuses on base Python fundamentals without relying on libraries like NumPy, Pandas, or Matplotlib.If you're looking for a shortcut to a certificate or a quick-fix approach, this may not be the right course for you. But if you want to develop real skills and confidence in Python, you're in the right place!"If you want to truly learn Python and build a strong foundation for data analytics, this course is exactly what you need!"Want to build a solid foundation in Python? This course is for you!Get 570+ practice questions, including standalone exercises and projects to apply your Python skills!!!Python is one of the most widely used programming languages, especially in data analytics, machine learning, and automation. Before diving into specialized libraries like NumPy and pandas, it's crucial to master base Python concepts-and that's exactly what this course will help you do. Note that numpy, pandas, matplotlib is not covered in this course.This course focuses on pure base Python for analytics. It does not cover NumPy, pandas, or matplotlib.What You Will Learn:- Python syntax, variables, and data types-Working with lists, tuples, dictionaries, and sets- Using if-else statements and loops to control program flow- Writing functions and understanding function arguments- Introduction to object-oriented programming (OOP) with classes and objects- Best practices for writing clean and efficient Python codeCourse Structure:(1) Introduction to Python - Why Python? Installation and setup (Anaconda & Jupyter Notebook).(2) Python Basics - Variables, data types, type conversions, operators, and expressions.(3) Data Structures - Lists, tuples, dictionaries, sets, and their use cases.(4) Control Flow - If-else conditions, for loops, while loops, and iteration techniques.(5) Functions & Modular Programming - Writing reusable functions, function arguments, and lambda functions.(6) Object-Oriented Programming (OOP) - Understanding classes, objects, methods, and basic OOP concepts.(7) Hands-on Coding Exercises - Apply your skills with real-world examples and challenges.This course is designed for absolute beginners and requires no prior programming experience. By the end, you'll have a strong grasp of Python fundamentals, preparing you for advanced topics like data analytics and automation.Join now and start your Python journey today!
